{"id":38885,"date":"2026-06-11T20:44:48","date_gmt":"2026-06-11T20:44:48","guid":{"rendered":"https:\/\/nodemaven.com\/?p=38885"},"modified":"2026-06-11T21:33:28","modified_gmt":"2026-06-11T21:33:28","slug":"chatgpt-web-scraping","status":"publish","type":"post","link":"https:\/\/nodemaven.com\/ru\/blog\/chatgpt-web-scraping\/","title":{"rendered":"\u0412\u0435\u0431-\u0441\u043a\u0440\u0430\u043f\u0438\u043d\u0433 ChatGPT: \u043a\u0430\u043a \u043f\u043e\u0441\u0442\u0440\u043e\u0438\u0442\u044c \u043f\u0430\u0440\u0441\u0435\u0440 \u043d\u0430 Python"},"content":{"rendered":"\n<p>I wanted to see how far ChatGPT could actually go with web scraping. I decided to try it with a simple task: take a public product page, extract the title, price, rating, and availability, and save the result into a CSV.<\/p>\n\n\n\n<p>In summary, ChatGPT can help a lot, but it is not a full scraping setup by itself.<\/p>\n\n\n\n<p>If ChatGPT has web access, it can pull or summarize information from pages at a small scale. But if you want repeatable web scraping, structured data, multiple URLs, JavaScript rendering, retries, and fewer blocks, you still need code and infrastructure, which includes <a href=\"https:\/\/nodemaven.com\/proxy-server\/\" type=\"page\" id=\"37572\">proxies<\/a>.<\/p>\n\n\n\n<p>For me, the useful setup ended up being:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>ChatGPT for writing and fixing the scraper<\/li>\n\n\n\n<li>Python for running the scraper<\/li>\n\n\n\n<li>Playwright when the page uses JavaScript<\/li>\n\n\n\n<li>Proxies when requests start getting blocked or become region-sensitive<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-can-chatgpt-scrape-websites\">Can ChatGPT Scrape Websites?<\/h2>\n\n\n\n<p>Yes, but only in a limited way. <a href=\"https:\/\/nodemaven.com\/websites\/chatgpt-proxy\/\" type=\"websites\" id=\"37887\">ChatGPT<\/a> can work with web information when web features are available. That is useful if you need a quick lookup, a short summary, or a small manual check. But that is not the same as scalable web scraping.<\/p>\n\n\n\n<p>If you need to scrape product prices, reviews, listings, search results, or market data across many pages, you need a scraper written in <a href=\"https:\/\/nodemaven.com\/use-cases\/proxies-for-python\/\" type=\"use_case\" id=\"38282\">Python<\/a>, JavaScript, or another programming language.<\/p>\n\n\n\n<p>ChatGPT is best used as an assistant that helps you build that scraper.<\/p>\n\n\n\n<p>It can:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>write the first version of the code<\/li>\n\n\n\n<li>explain which selectors to use<\/li>\n\n\n\n<li>fix Python errors<\/li>\n\n\n\n<li>rewrite the scraper for Playwright<\/li>\n\n\n\n<li>add CSV or JSON export<\/li>\n\n\n\n<li>add proxies<\/li>\n\n\n\n<li>add retries and block detection<\/li>\n<\/ul>\n\n\n\n<p>OpenAI\u2019s web search tools are designed for retrieving current information with citations, not running structured scraping pipelines.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-how-to-scrape-with-chatgpt\">How to Scrape With ChatGPT<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-step-1-pick-a-page-to-scrape\">Step 1: Pick a Page to Scrape<\/h3>\n\n\n\n<p>Choose an easy page to build and test your scraper. For the test, I used:<\/p>\n\n\n\n<pre class=\"wp-block-preformatted has-gray-200-background-color has-background\">https:\/\/books.toscrape.com\/<\/pre>\n\n\n\n<p>Books to Scrape is a sandbox website for web scraping practice.<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"532\" src=\"https:\/\/nodemaven.com\/wp-content\/uploads\/2026\/06\/image-13-1024x532.png\" alt=\"Books to Scrape - ChatGPT Web Scraping | NodeMaven\" class=\"wp-image-38906\" style=\"aspect-ratio:1.9252032520325204;width:633px;height:auto\" srcset=\"https:\/\/nodemaven.com\/wp-content\/uploads\/2026\/06\/image-13-1024x532.png 1024w, https:\/\/nodemaven.com\/wp-content\/uploads\/2026\/06\/image-13-300x156.png 300w, https:\/\/nodemaven.com\/wp-content\/uploads\/2026\/06\/image-13-768x399.png 768w, https:\/\/nodemaven.com\/wp-content\/uploads\/2026\/06\/image-13-1536x798.png 1536w, https:\/\/nodemaven.com\/wp-content\/uploads\/2026\/06\/image-13-2048x1064.png 2048w, https:\/\/nodemaven.com\/wp-content\/uploads\/2026\/06\/image-13-18x9.png 18w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>I kept the task simple. I wanted to get a CSV file as a result with:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>book title<\/li>\n\n\n\n<li>price<\/li>\n\n\n\n<li>availability<\/li>\n\n\n\n<li>product link<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Step 2: Copy the Product Selectors<\/strong><\/h3>\n\n\n\n<p>Before asking ChatGPT for code, I opened Books to Scrape in Chrome and inspected one of the book cards.<\/p>\n\n\n\n<p>I right-clicked a book title, clicked Inspect, and looked at the HTML around the title, price, availability, and product link. Then I copied the selectors so ChatGPT would not have to guess the page structure.<\/p>\n\n\n\n<p>The process was simple:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Right-click a book title and click Inspect<\/li>\n\n\n\n<li>Right-click the highlighted HTML element<\/li>\n\n\n\n<li>Choose Copy \u2192 Copy selector<\/li>\n\n\n\n<li>Repeat for the price and availability<\/li>\n\n\n\n<li>For the product link, inspect the book title or image link<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Step 3: Prompt ChatGPT to Build the Scraper<\/h3>\n\n\n\n<p>Then I gave ChatGPT the page URL, the fields I wanted, and the selectors I copied.<\/p>\n\n\n\n<p>The prompt looked like this:<\/p>\n\n\n\n<pre class=\"wp-block-preformatted has-gray-200-background-color has-background\">I want to scrape public product data from this demo website:<br>https:\/\/books.toscrape.com\/<br><br>I need a CSV file with:<br>- book title<br>- price<br>- availability<br>- product link<br><br>Here are the selectors I copied from Chrome DevTools:<br>Book card selector: article.product_pod<br>Book title selector: h3 a<br>Price selector: .price_color<br>Availability selector: .availability<br>Product link selector: h3 a<br><br>Write a Python scraper that extracts all books from the first page and saves the results to books_to_scrape_products.csv.<br><br>Use requests and BeautifulSoup.<br>Add simple error handling for missing titles, prices, availability, or links.<br>Convert relative product links into full URLs.<\/pre>\n\n\n\n<p>You need a detailed prompt, not just \u201cscrape this website.\u201d ChatGPT knew the page, the fields, the output format, and the exact result I wanted.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Step 4: Start With BeautifulSoup<\/h3>\n\n\n\n<p>Books to Scrape is a static demo site, so I did not need Playwright for the first version.<\/p>\n\n\n\n<p>That made the setup simpler.<\/p>\n\n\n\n<p>The scraper flow was:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>open the Books to Scrape homepage<\/li>\n\n\n\n<li>find each product card<\/li>\n\n\n\n<li>extract the title, price, availability, and link<\/li>\n\n\n\n<li>convert the relative link into a full URL<\/li>\n\n\n\n<li>save everything into a CSV file<\/li>\n<\/ul>\n\n\n\n<p>ChatGPT generated a BeautifulSoup version first, which made sense for this page.<\/p>\n\n\n\n<p>If I were scraping a page where products load with JavaScript, I would ask ChatGPT to switch the script to Playwright. But for this test, BeautifulSoup was enough.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Step 5: Set Up the Python Project<\/h3>\n\n\n\n<p>After ChatGPT generated the scraper, I needed to run it locally.<\/p>\n\n\n\n<p>First, I created a new folder:<\/p>\n\n\n<figure class=\"rhino-code-snippet\" data-lang=\"plaintext\"><button type=\"button\" class=\"rhino-code-snippet__copy\" aria-label=\"Copy code to clipboard\"><svg class=\"rhino-code-snippet__icon-copy\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><rect x=\"9\" y=\"9\" width=\"13\" height=\"13\" rx=\"2\" ry=\"2\"><\/rect><path d=\"M5 15H4a2 2 0 0 1-2-2V4a2 2 0 0 1 2-2h9a2 2 0 0 1 2 2v1\"><\/path><\/svg><svg class=\"rhino-code-snippet__icon-check\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><polyline points=\"20 6 9 17 4 12\"><\/polyline><\/svg><\/button><span class=\"rhino-code-snippet__sr\" aria-live=\"polite\"><\/span><pre class=\"line-numbers\"><code class=\"language-plaintext\" data-rhino-code=\"mkdir%20books_scraper%0Acd%20books_scraper\"><\/code><\/pre><\/figure>\n\n\n<p>Then I created a virtual environment.<\/p>\n\n\n\n<p>On macOS, I used:<\/p>\n\n\n<figure class=\"rhino-code-snippet\" data-lang=\"plaintext\"><button type=\"button\" class=\"rhino-code-snippet__copy\" aria-label=\"Copy code to clipboard\"><svg class=\"rhino-code-snippet__icon-copy\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><rect x=\"9\" y=\"9\" width=\"13\" height=\"13\" rx=\"2\" ry=\"2\"><\/rect><path d=\"M5 15H4a2 2 0 0 1-2-2V4a2 2 0 0 1 2-2h9a2 2 0 0 1 2 2v1\"><\/path><\/svg><svg class=\"rhino-code-snippet__icon-check\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><polyline points=\"20 6 9 17 4 12\"><\/polyline><\/svg><\/button><span class=\"rhino-code-snippet__sr\" aria-live=\"polite\"><\/span><pre class=\"line-numbers\"><code class=\"language-plaintext\" data-rhino-code=\"python3%20-m%20venv%20venv\"><\/code><\/pre><\/figure>\n\n\n<p>Then I activated it:<\/p>\n\n\n<figure class=\"rhino-code-snippet\" data-lang=\"plaintext\"><button type=\"button\" class=\"rhino-code-snippet__copy\" aria-label=\"Copy code to clipboard\"><svg class=\"rhino-code-snippet__icon-copy\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><rect x=\"9\" y=\"9\" width=\"13\" height=\"13\" rx=\"2\" ry=\"2\"><\/rect><path d=\"M5 15H4a2 2 0 0 1-2-2V4a2 2 0 0 1 2-2h9a2 2 0 0 1 2 2v1\"><\/path><\/svg><svg class=\"rhino-code-snippet__icon-check\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><polyline points=\"20 6 9 17 4 12\"><\/polyline><\/svg><\/button><span class=\"rhino-code-snippet__sr\" aria-live=\"polite\"><\/span><pre class=\"line-numbers\"><code class=\"language-plaintext\" data-rhino-code=\"source%20venv%2Fbin%2Factivate\"><\/code><\/pre><\/figure>\n\n\n<p>For Windows, the activation command is:<\/p>\n\n\n<figure class=\"rhino-code-snippet\" data-lang=\"plaintext\"><button type=\"button\" class=\"rhino-code-snippet__copy\" aria-label=\"Copy code to clipboard\"><svg class=\"rhino-code-snippet__icon-copy\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><rect x=\"9\" y=\"9\" width=\"13\" height=\"13\" rx=\"2\" ry=\"2\"><\/rect><path d=\"M5 15H4a2 2 0 0 1-2-2V4a2 2 0 0 1 2-2h9a2 2 0 0 1 2 2v1\"><\/path><\/svg><svg class=\"rhino-code-snippet__icon-check\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><polyline points=\"20 6 9 17 4 12\"><\/polyline><\/svg><\/button><span class=\"rhino-code-snippet__sr\" aria-live=\"polite\"><\/span><pre class=\"line-numbers\"><code class=\"language-plaintext\" data-rhino-code=\"venv%5CScripts%5Cactivate.bat\"><\/code><\/pre><\/figure>\n\n\n<p>Then I installed the packages:<\/p>\n\n\n<figure class=\"rhino-code-snippet\" data-lang=\"plaintext\"><button type=\"button\" class=\"rhino-code-snippet__copy\" aria-label=\"Copy code to clipboard\"><svg class=\"rhino-code-snippet__icon-copy\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><rect x=\"9\" y=\"9\" width=\"13\" height=\"13\" rx=\"2\" ry=\"2\"><\/rect><path d=\"M5 15H4a2 2 0 0 1-2-2V4a2 2 0 0 1 2-2h9a2 2 0 0 1 2 2v1\"><\/path><\/svg><svg class=\"rhino-code-snippet__icon-check\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><polyline points=\"20 6 9 17 4 12\"><\/polyline><\/svg><\/button><span class=\"rhino-code-snippet__sr\" aria-live=\"polite\"><\/span><pre class=\"line-numbers\"><code class=\"language-plaintext\" data-rhino-code=\"pip%20install%20requests%20beautifulsoup4\"><\/code><\/pre><\/figure>\n\n\n<p>Then I quickly checked that Python could import them:<\/p>\n\n\n<figure class=\"rhino-code-snippet\" data-lang=\"plaintext\"><button type=\"button\" class=\"rhino-code-snippet__copy\" aria-label=\"Copy code to clipboard\"><svg class=\"rhino-code-snippet__icon-copy\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><rect x=\"9\" y=\"9\" width=\"13\" height=\"13\" rx=\"2\" ry=\"2\"><\/rect><path d=\"M5 15H4a2 2 0 0 1-2-2V4a2 2 0 0 1 2-2h9a2 2 0 0 1 2 2v1\"><\/path><\/svg><svg class=\"rhino-code-snippet__icon-check\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><polyline points=\"20 6 9 17 4 12\"><\/polyline><\/svg><\/button><span class=\"rhino-code-snippet__sr\" aria-live=\"polite\"><\/span><pre class=\"line-numbers\"><code class=\"language-plaintext\" data-rhino-code=\"python%20-c%20%22import%20requests%2C%20bs4%3B%20print%28%27Packages%20installed%27%29%22\"><\/code><\/pre><\/figure>\n\n\n<p>If\u00a0pip install\u00a0fails with a\u00a0NameResolutionError, I would check the internet connection first. In my case, the command itself was right, but package installation can fail if Terminal cannot reach PyPI because of DNS, firewall, VPN, or network restrictions.<\/p>\n\n\n\n<p>If the scraper later shows\u00a0ModuleNotFoundError: No module named \u2018requests\u2019, it usually means the install did not finish or the virtual environment is not active.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Step 6: Create the Scraper File<\/h3>\n\n\n\n<p>Once the setup was ready, I created the Python file:<\/p>\n\n\n<figure class=\"rhino-code-snippet\" data-lang=\"plaintext\"><button type=\"button\" class=\"rhino-code-snippet__copy\" aria-label=\"Copy code to clipboard\"><svg class=\"rhino-code-snippet__icon-copy\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><rect x=\"9\" y=\"9\" width=\"13\" height=\"13\" rx=\"2\" ry=\"2\"><\/rect><path d=\"M5 15H4a2 2 0 0 1-2-2V4a2 2 0 0 1 2-2h9a2 2 0 0 1 2 2v1\"><\/path><\/svg><svg class=\"rhino-code-snippet__icon-check\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><polyline points=\"20 6 9 17 4 12\"><\/polyline><\/svg><\/button><span class=\"rhino-code-snippet__sr\" aria-live=\"polite\"><\/span><pre class=\"line-numbers\"><code class=\"language-plaintext\" data-rhino-code=\"touch%20books_scraper.py\"><\/code><\/pre><\/figure>\n\n\n<p>Then I opened it in a text editor.<\/p>\n\n\n\n<p>On macOS, this may work:<\/p>\n\n\n<figure class=\"rhino-code-snippet\" data-lang=\"plaintext\"><button type=\"button\" class=\"rhino-code-snippet__copy\" aria-label=\"Copy code to clipboard\"><svg class=\"rhino-code-snippet__icon-copy\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><rect x=\"9\" y=\"9\" width=\"13\" height=\"13\" rx=\"2\" ry=\"2\"><\/rect><path d=\"M5 15H4a2 2 0 0 1-2-2V4a2 2 0 0 1 2-2h9a2 2 0 0 1 2 2v1\"><\/path><\/svg><svg class=\"rhino-code-snippet__icon-check\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><polyline points=\"20 6 9 17 4 12\"><\/polyline><\/svg><\/button><span class=\"rhino-code-snippet__sr\" aria-live=\"polite\"><\/span><pre class=\"line-numbers\"><code class=\"language-plaintext\" data-rhino-code=\"open%20-e%20books_scraper.py\"><\/code><\/pre><\/figure>\n\n\n<p>If that command does not work, I would use any code editor or open the file directly from the folder. A terminal fallback is:<\/p>\n\n\n<figure class=\"rhino-code-snippet\" data-lang=\"plaintext\"><button type=\"button\" class=\"rhino-code-snippet__copy\" aria-label=\"Copy code to clipboard\"><svg class=\"rhino-code-snippet__icon-copy\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><rect x=\"9\" y=\"9\" width=\"13\" height=\"13\" rx=\"2\" ry=\"2\"><\/rect><path d=\"M5 15H4a2 2 0 0 1-2-2V4a2 2 0 0 1 2-2h9a2 2 0 0 1 2 2v1\"><\/path><\/svg><svg class=\"rhino-code-snippet__icon-check\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><polyline points=\"20 6 9 17 4 12\"><\/polyline><\/svg><\/button><span class=\"rhino-code-snippet__sr\" aria-live=\"polite\"><\/span><pre class=\"line-numbers\"><code class=\"language-plaintext\" data-rhino-code=\"nano%20books_scraper.py\"><\/code><\/pre><\/figure>\n\n\n<p>I pasted the ChatGPT-generated code into the file and saved it.<\/p>\n\n\n\n<p>The script looked something like this:<\/p>\n\n\n<figure class=\"rhino-code-snippet\" data-lang=\"plaintext\"><button type=\"button\" class=\"rhino-code-snippet__copy\" aria-label=\"Copy code to clipboard\"><svg class=\"rhino-code-snippet__icon-copy\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><rect x=\"9\" y=\"9\" width=\"13\" height=\"13\" rx=\"2\" ry=\"2\"><\/rect><path d=\"M5 15H4a2 2 0 0 1-2-2V4a2 2 0 0 1 2-2h9a2 2 0 0 1 2 2v1\"><\/path><\/svg><svg class=\"rhino-code-snippet__icon-check\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><polyline points=\"20 6 9 17 4 12\"><\/polyline><\/svg><\/button><span class=\"rhino-code-snippet__sr\" aria-live=\"polite\"><\/span><pre class=\"line-numbers\"><code class=\"language-plaintext\" data-rhino-code=\"import%20csv%0Aimport%20requests%0Afrom%20bs4%20import%20BeautifulSoup%0Afrom%20urllib.parse%20import%20urljoin%0A%0ABASE_URL%20%3D%20%22https%3A%2F%2Fbooks.toscrape.com%2F%22%0AOUTPUT_FILE%20%3D%20%22books_to_scrape_products.csv%22%0A%0A%0Adef%20get_text_or_default%28element%2C%20default%3D%22N%2FA%22%29%3A%0A%20%20%20%20%22%22%22Safely%20extract%20text%20from%20a%20BeautifulSoup%20element.%22%22%22%0A%20%20%20%20if%20element%3A%0A%20%20%20%20%20%20%20%20return%20element.get_text%28strip%3DTrue%29%0A%20%20%20%20return%20default%0A%0A%0Adef%20get_attr_or_default%28element%2C%20attr%2C%20default%3D%22N%2FA%22%29%3A%0A%20%20%20%20%22%22%22Safely%20extract%20an%20attribute%20from%20a%20BeautifulSoup%20element.%22%22%22%0A%20%20%20%20if%20element%20and%20element.has_attr%28attr%29%3A%0A%20%20%20%20%20%20%20%20return%20element%5Battr%5D%0A%20%20%20%20return%20default%0A%0A%0Adef%20scrape_books_first_page%28%29%3A%0A%20%20%20%20try%3A%0A%20%20%20%20%20%20%20%20response%20%3D%20requests.get%28BASE_URL%2C%20timeout%3D10%29%0A%20%20%20%20%20%20%20%20response.encoding%20%3D%20%22utf-8%22%0A%20%20%20%20%20%20%20%20response.raise_for_status%28%29%0A%20%20%20%20except%20requests.RequestException%20as%20error%3A%0A%20%20%20%20%20%20%20%20print%28f%22Failed%20to%20fetch%20page%3A%20%7Berror%7D%22%29%0A%20%20%20%20%20%20%20%20return%20%5B%5D%0A%0A%20%20%20%20soup%20%3D%20BeautifulSoup%28response.text%2C%20%22html.parser%22%29%0A%0A%20%20%20%20books%20%3D%20%5B%5D%0A%0A%20%20%20%20book_cards%20%3D%20soup.select%28%22article.product_pod%22%29%0A%0A%20%20%20%20if%20not%20book_cards%3A%0A%20%20%20%20%20%20%20%20print%28%22No%20book%20cards%20found.%22%29%0A%20%20%20%20%20%20%20%20return%20%5B%5D%0A%0A%20%20%20%20for%20card%20in%20book_cards%3A%0A%20%20%20%20%20%20%20%20title_element%20%3D%20card.select_one%28%22h3%20a%22%29%0A%20%20%20%20%20%20%20%20price_element%20%3D%20card.select_one%28%22p.price_color%22%29%0A%20%20%20%20%20%20%20%20availability_element%20%3D%20card.select_one%28%22p.instock.availability%22%29%0A%0A%20%20%20%20%20%20%20%20relative_link%20%3D%20get_attr_or_default%28title_element%2C%20%22href%22%29%0A%20%20%20%20%20%20%20%20full_link%20%3D%20urljoin%28BASE_URL%2C%20relative_link%29%20if%20relative_link%20%21%3D%20%22N%2FA%22%20else%20%22N%2FA%22%0A%0A%20%20%20%20%20%20%20%20title%20%3D%20get_attr_or_default%28title_element%2C%20%22title%22%29%0A%20%20%20%20%20%20%20%20if%20title%20%3D%3D%20%22N%2FA%22%3A%0A%20%20%20%20%20%20%20%20%20%20%20%20title%20%3D%20get_text_or_default%28title_element%29%0A%0A%20%20%20%20%20%20%20%20price%20%3D%20get_text_or_default%28price_element%29%0A%20%20%20%20%20%20%20%20availability%20%3D%20get_text_or_default%28availability_element%29%0A%0A%20%20%20%20%20%20%20%20books.append%28%7B%0A%20%20%20%20%20%20%20%20%20%20%20%20%22book%20title%22%3A%20title%2C%0A%20%20%20%20%20%20%20%20%20%20%20%20%22price%22%3A%20price%2C%0A%20%20%20%20%20%20%20%20%20%20%20%20%22availability%22%3A%20availability%2C%0A%20%20%20%20%20%20%20%20%20%20%20%20%22product%20link%22%3A%20full_link%0A%20%20%20%20%20%20%20%20%7D%29%0A%0A%20%20%20%20return%20books%0A%0A%0Adef%20save_to_csv%28books%29%3A%0A%20%20%20%20if%20not%20books%3A%0A%20%20%20%20%20%20%20%20print%28%22No%20books%20to%20save.%22%29%0A%20%20%20%20%20%20%20%20return%0A%0A%20%20%20%20fieldnames%20%3D%20%5B%22book%20title%22%2C%20%22price%22%2C%20%22availability%22%2C%20%22product%20link%22%5D%0A%0A%20%20%20%20try%3A%0A%20%20%20%20%20%20%20%20with%20open%28OUTPUT_FILE%2C%20%22w%22%2C%20newline%3D%22%22%2C%20encoding%3D%22utf-8%22%29%20as%20file%3A%0A%20%20%20%20%20%20%20%20%20%20%20%20writer%20%3D%20csv.DictWriter%28file%2C%20fieldnames%3Dfieldnames%29%0A%20%20%20%20%20%20%20%20%20%20%20%20writer.writeheader%28%29%0A%20%20%20%20%20%20%20%20%20%20%20%20writer.writerows%28books%29%0A%0A%20%20%20%20%20%20%20%20print%28f%22Saved%20%7Blen%28books%29%7D%20books%20to%20%7BOUTPUT_FILE%7D%22%29%0A%0A%20%20%20%20except%20IOError%20as%20error%3A%0A%20%20%20%20%20%20%20%20print%28f%22Failed%20to%20write%20CSV%20file%3A%20%7Berror%7D%22%29%0A%0A%0Aif%20__name__%20%3D%3D%20%22__main__%22%3A%0A%20%20%20%20scraped_books%20%3D%20scrape_books_first_page%28%29%0A%20%20%20%20save_to_csv%28scraped_books%29\"><\/code><\/pre><\/figure>\n\n\n<h3 class=\"wp-block-heading\">Step 7: Run the Scraper and Check the CSV<\/h3>\n\n\n\n<p>Then I ran the script:<\/p>\n\n\n<figure class=\"rhino-code-snippet\" data-lang=\"plaintext\"><button type=\"button\" class=\"rhino-code-snippet__copy\" aria-label=\"Copy code to clipboard\"><svg class=\"rhino-code-snippet__icon-copy\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><rect x=\"9\" y=\"9\" width=\"13\" height=\"13\" rx=\"2\" ry=\"2\"><\/rect><path d=\"M5 15H4a2 2 0 0 1-2-2V4a2 2 0 0 1 2-2h9a2 2 0 0 1 2 2v1\"><\/path><\/svg><svg class=\"rhino-code-snippet__icon-check\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><polyline points=\"20 6 9 17 4 12\"><\/polyline><\/svg><\/button><span class=\"rhino-code-snippet__sr\" aria-live=\"polite\"><\/span><pre class=\"line-numbers\"><code class=\"language-plaintext\" data-rhino-code=\"python%20books_scraper.py\"><\/code><\/pre><\/figure>\n\n\n<p>It created a CSV file called:<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">books_to_scrape_products.csv<\/pre>\n\n\n\n<p>To open and check the CSV on macOS, run:<\/p>\n\n\n<figure class=\"rhino-code-snippet\" data-lang=\"plaintext\"><button type=\"button\" class=\"rhino-code-snippet__copy\" aria-label=\"Copy code to clipboard\"><svg class=\"rhino-code-snippet__icon-copy\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><rect x=\"9\" y=\"9\" width=\"13\" height=\"13\" rx=\"2\" ry=\"2\"><\/rect><path d=\"M5 15H4a2 2 0 0 1-2-2V4a2 2 0 0 1 2-2h9a2 2 0 0 1 2 2v1\"><\/path><\/svg><svg class=\"rhino-code-snippet__icon-check\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><polyline points=\"20 6 9 17 4 12\"><\/polyline><\/svg><\/button><span class=\"rhino-code-snippet__sr\" aria-live=\"polite\"><\/span><pre class=\"line-numbers\"><code class=\"language-plaintext\" data-rhino-code=\"open%20books_to_scrape_products.csv\"><\/code><\/pre><\/figure>\n\n\n<p>The output had the fields I wanted.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"418\" src=\"https:\/\/nodemaven.com\/wp-content\/uploads\/2026\/06\/image-15-1024x418.png\" alt=\"ChatGPT Web Scraping | NodeMaven\" class=\"wp-image-38908\" srcset=\"https:\/\/nodemaven.com\/wp-content\/uploads\/2026\/06\/image-15-1024x418.png 1024w, https:\/\/nodemaven.com\/wp-content\/uploads\/2026\/06\/image-15-300x122.png 300w, https:\/\/nodemaven.com\/wp-content\/uploads\/2026\/06\/image-15-768x313.png 768w, https:\/\/nodemaven.com\/wp-content\/uploads\/2026\/06\/image-15-1536x627.png 1536w, https:\/\/nodemaven.com\/wp-content\/uploads\/2026\/06\/image-15-18x7.png 18w, https:\/\/nodemaven.com\/wp-content\/uploads\/2026\/06\/image-15.png 1808w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>ChatGPT helped me build a scraper that opened a page, extracted structured data, and saved it into a usable CSV.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Step 8: Ask ChatGPT to Scrape Multiple Pages<\/h3>\n\n\n\n<p>The first version only scraped page one.<\/p>\n\n\n\n<p>Books to Scrape has 50 pages, so the next step was obvious: ask ChatGPT to add pagination.<\/p>\n\n\n\n<p>I used this prompt:<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">The scraper works for the first page.\n\nUpdate it so it scrapes all pages on Books to Scrape.\n\nThe site has pagination.\nFollow the \"next\" link until there are no more pages.\n\nKeep the same CSV columns:\n- book title\n- price\n- availability\n- product link<\/pre>\n\n\n\n<p>ChatGPT updated the script to follow the next page link.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Step 9: Add Basic Debugging and Retry Logic<\/h3>\n\n\n\n<p>The scraper worked, but not perfectly. It scraped the first five pages, then page 6 timed out.<\/p>\n\n\n\n<p>The terminal showed:<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">Scraping page 6: https:\/\/books.toscrape.com\/catalogue\/page-6.html\nFailed to fetch page\nConnection timed out\nSkipping page 6 because it failed\nSaved 100 books to books_to_scrape_products.csv<\/pre>\n\n\n\n<p>Then I asked ChatGPT to improve the script:<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">The scraper works, but page 6 timed out.\n\nUpdate the script so it:\n- retries a failed page up to 3 times\n- waits 3 seconds between retries\n- increases the request timeout to 30 seconds\n- continues scraping if a page still fails after retries\n- saves all successfully scraped products to the CSV at the end<\/pre>\n\n\n\n<p>This is the kind of fix that matters in real scraping. Even simple websites can time out. On large e-commerce sites, retries, timeouts, logs, and clean proxy sessions are not optional.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Step 10: Add Proxies for More Protected Websites<\/h3>\n\n\n\n<p>Books to Scrape proved that the scraper worked. But I would not use the same plain setup for real e-commerce sites, marketplaces, search results, or review platforms.<\/p>\n\n\n\n<p>Those websites often have anti-bot systems, rate limits, regional content, and stricter IP checks. If every request comes from the same local IP, office Wi-Fi, cloud server, or free VPN, the scraper can start getting blocked, challenged, or served incomplete pages.<\/p>\n\n\n\n<p>That is where I recommend adding proxies.<\/p>\n\n\n\n<p>I would add them after the scraper works on a small test. First, I want to know if the code is correct. Then I add proxies to make the access layer more stable.<\/p>\n\n\n\n<p>For scraping, proxies help with:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>keeping a stable session while testing<\/li>\n\n\n\n<li>scraping from a specific country, city, or ZIP code<\/li>\n\n\n\n<li>separating different scraping jobs by IP session<\/li>\n\n\n\n<li>reducing reliance on overused VPN or datacenter IPs<\/li>\n\n\n\n<li>checking regional prices, availability, or search results<\/li>\n\n\n\n<li>diagnosing whether a failure is caused by code or access issues<\/li>\n<\/ul>\n\n\n\n<p>In NodeMaven, I would create a proxy setup like this:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Proxy type: <a href=\"https:\/\/nodemaven.com\/proxies\/residential-proxies\/\" type=\"proxies\" id=\"36421\">Residential<\/a><\/li>\n\n\n\n<li>Location: based on the target market<\/li>\n\n\n\n<li>Session type: Rotating<\/li>\n\n\n\n<li>Protocol: HTTP<\/li>\n\n\n\n<li>Host:\u00a0gate.nodemaven.com<\/li>\n\n\n\n<li>Port:\u00a08080<\/li>\n\n\n\n<li>Username and password from the dashboard<\/li>\n<\/ul>\n\n\n\n<p>Then set the proxy credentials in Terminal, not directly inside the Python file.<\/p>\n\n\n\n<p>On macOS or Linux:<\/p>\n\n\n<figure class=\"rhino-code-snippet\" data-lang=\"plaintext\"><button type=\"button\" class=\"rhino-code-snippet__copy\" aria-label=\"Copy code to clipboard\"><svg class=\"rhino-code-snippet__icon-copy\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><rect x=\"9\" y=\"9\" width=\"13\" height=\"13\" rx=\"2\" ry=\"2\"><\/rect><path d=\"M5 15H4a2 2 0 0 1-2-2V4a2 2 0 0 1 2-2h9a2 2 0 0 1 2 2v1\"><\/path><\/svg><svg class=\"rhino-code-snippet__icon-check\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><polyline points=\"20 6 9 17 4 12\"><\/polyline><\/svg><\/button><span class=\"rhino-code-snippet__sr\" aria-live=\"polite\"><\/span><pre class=\"line-numbers\"><code class=\"language-plaintext\" data-rhino-code=\"export%20NODEMAVEN_PROXY_USERNAME%3D%22YOUR_NODEMAVEN_USERNAME%22%0Aexport%20NODEMAVEN_PROXY_PASSWORD%3D%22YOUR_NODEMAVEN_PASSWORD%22\"><\/code><\/pre><\/figure>\n\n\n<p>On Windows PowerShell:<\/p>\n\n\n<figure class=\"rhino-code-snippet\" data-lang=\"plaintext\"><button type=\"button\" class=\"rhino-code-snippet__copy\" aria-label=\"Copy code to clipboard\"><svg class=\"rhino-code-snippet__icon-copy\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><rect x=\"9\" y=\"9\" width=\"13\" height=\"13\" rx=\"2\" ry=\"2\"><\/rect><path d=\"M5 15H4a2 2 0 0 1-2-2V4a2 2 0 0 1 2-2h9a2 2 0 0 1 2 2v1\"><\/path><\/svg><svg class=\"rhino-code-snippet__icon-check\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><polyline points=\"20 6 9 17 4 12\"><\/polyline><\/svg><\/button><span class=\"rhino-code-snippet__sr\" aria-live=\"polite\"><\/span><pre class=\"line-numbers\"><code class=\"language-plaintext\" data-rhino-code=\"%24env%3ANODEMAVEN_PROXY_USERNAME%3D%22YOUR_NODEMAVEN_USERNAME%22%0A%24env%3ANODEMAVEN_PROXY_PASSWORD%3D%22YOUR_NODEMAVEN_PASSWORD%22\"><\/code><\/pre><\/figure>\n\n\n<p>Then ask ChatGPT to update the scraper with this prompt:<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">The scraper works on a test website.\n\nNow add authenticated NodeMaven proxy support.\n\nUse environment variables for credentials:\n- NODEMAVEN_PROXY_USERNAME\n- NODEMAVEN_PROXY_PASSWORD\n\nProxy server:\nhttp:\/\/gate.nodemaven.com:8080\n\nAlso add:\n- timeout handling\n- failed URL logging\n- retry logic\n- block page detection\n- a clear error message if proxy credentials are missing<\/pre>\n\n\n\n<p>For a\u00a0requests\u00a0scraper, the proxy setup would look like this:<\/p>\n\n\n<figure class=\"rhino-code-snippet\" data-lang=\"plaintext\"><button type=\"button\" class=\"rhino-code-snippet__copy\" aria-label=\"Copy code to clipboard\"><svg class=\"rhino-code-snippet__icon-copy\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><rect x=\"9\" y=\"9\" width=\"13\" height=\"13\" rx=\"2\" ry=\"2\"><\/rect><path d=\"M5 15H4a2 2 0 0 1-2-2V4a2 2 0 0 1 2-2h9a2 2 0 0 1 2 2v1\"><\/path><\/svg><svg class=\"rhino-code-snippet__icon-check\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><polyline points=\"20 6 9 17 4 12\"><\/polyline><\/svg><\/button><span class=\"rhino-code-snippet__sr\" aria-live=\"polite\"><\/span><pre class=\"line-numbers\"><code class=\"language-plaintext\" data-rhino-code=\"import%20os%0A%0APROXY_SERVER%20%3D%20%22gate.nodemaven.com%3A8080%22%0APROXY_USERNAME%20%3D%20os.getenv%28%22NODEMAVEN_PROXY_USERNAME%22%29%0APROXY_PASSWORD%20%3D%20os.getenv%28%22NODEMAVEN_PROXY_PASSWORD%22%29%0A%0Aif%20not%20PROXY_USERNAME%20or%20not%20PROXY_PASSWORD%3A%0A%20%20%20%20raise%20ValueError%28%22Missing%20NodeMaven%20proxy%20username%20or%20password.%22%29%0A%0Aproxy_url%20%3D%20f%22http%3A%2F%2F%7BPROXY_USERNAME%7D%3A%7BPROXY_PASSWORD%7D%40%7BPROXY_SERVER%7D%22%0A%0Aproxies%20%3D%20%7B%0A%20%20%20%20%22http%22%3A%20proxy_url%2C%0A%20%20%20%20%22https%22%3A%20proxy_url%2C%0A%7D%0A%0Aresponse%20%3D%20requests.get%28URL%2C%20proxies%3Dproxies%2C%20timeout%3D30%29\"><\/code><\/pre><\/figure>\n\n\n<p>This keeps credentials out of the Python file. It also makes the scraper safer to share, screenshot, or commit to a repo.<\/p>\n\n\n\n<p>This is the part ChatGPT does not solve by itself. It can write the scraper, but it cannot make a low-quality IP more trusted, add IP rotation or keep a session stable across protected websites. Clean residential proxies, sticky sessions, and location targeting give the scraper a better environment to work in.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Why NodeMaven Fits ChatGPT Web Scraping Workflows<\/h2>\n\n\n\n<p>NodeMaven is useful here because it helps with the part ChatGPT does not solve: access quality.<\/p>\n\n\n\n<p>NodeMaven helps with:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>clean rotating residential IPs for more natural access<\/li>\n\n\n\n<li>sticky sessions for longer scraping runs<\/li>\n\n\n\n<li>country, city, ISP, and ZIP targeting<\/li>\n\n\n\n<li>SOCKS5 and HTTP support<\/li>\n\n\n\n<li>quality-focused filtering modes<\/li>\n\n\n\n<li>mobile proxies included with residential plans<\/li>\n\n\n\n<li><a href=\"https:\/\/nodemaven.com\/features\/quality-guarantee\/\" type=\"feature\" id=\"36886\">quality guarantee<\/a> and cashback where relevant<\/li>\n<\/ul>\n\n\n\n<p>Clean IPs and stable sessions make it easier to separate code problems from access problems. If a scraper fails on a clean setup, I know to check selectors, JavaScript, or page structure instead of guessing blindly.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">ChatGPT Scraper vs Scraping API<\/h2>\n\n\n\n<p>After testing this, I would split the tools like this:<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th class=\"has-text-align-left\" data-align=\"left\">Setup<\/th><th class=\"has-text-align-left\" data-align=\"left\">Best for<\/th><th class=\"has-text-align-left\" data-align=\"left\">Limitation<\/th><\/tr><\/thead><tbody><tr><td>ChatGPT with web access<\/td><td>Small manual lookups<\/td><td>Not scalable structured scraping<\/td><\/tr><tr><td>ChatGPT + BeautifulSoup<\/td><td>Static pages like Books to Scrape<\/td><td>Breaks on JavaScript-heavy sites<\/td><\/tr><tr><td>ChatGPT + Playwright<\/td><td>Dynamic pages<\/td><td>Slower and more resource-heavy<\/td><\/tr><tr><td>ChatGPT + NodeMaven proxies<\/td><td>Real scraping workflows with better access control<\/td><td>Additional cost for proxies<\/td><\/tr><tr><td>Scraping API<\/td><td>Managed rendering, retries, and infrastructure<\/td><td>Less control over custom logic<\/td><\/tr><tr><td>MCP-style tools<\/td><td>Research and prototypes<\/td><td>Not always production-ready<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>MCP is also worth watching. Instead of asking ChatGPT to write code and running it separately, MCP can connect an AI assistant to external tools. OpenAI documents MCP and connectors for connecting models to external systems.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Final Takeaway<\/h2>\n\n\n\n<p>ChatGPT can help with web scraping, but it is not a full scraping stack.<\/p>\n\n\n\n<p>It can help you build a working scraper quickly, but for websites with anti-bot systems, like <a href=\"https:\/\/nodemaven.com\/websites\/amazon-proxy\/\" type=\"websites\" id=\"37683\">Amazon<\/a>, you still need clean infrastructure, stable sessions, logging, retries, and data checks.<\/p>\n\n\n\n<p>My practical takeaway is simple:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Use ChatGPT to build and debug the scraper.<\/li>\n\n\n\n<li>Use Python or <a href=\"https:\/\/nodemaven.com\/integrations\/proxies-for-playwright\/\" type=\"integrations\" id=\"37766\">Playwright <\/a>to run it.<\/li>\n\n\n\n<li>Use NodeMaven proxies when the workflow needs IP rotation, stable access, location control, and cleaner IPs.<\/li>\n<\/ul>\n\n\n<div\n\t\t\t\n\t\t\tclass=\"so-widget-rhinocore-addons-rhino-alert-banner so-widget-rhinocore-addons-rhino-alert-banner-default-d75171398898\"\n\t\t\t\n\t\t><div class=\"rhino-widget rhino-widget--rhinocore-addons-rhino-alert-banner section-alert\"    style=\"--alert-background-color: #E6E6FF\"\n>\n            <div class=\"section-alert__icon\">\n            <img decoding=\"async\" src=\"https:\/\/nodemaven.com\/wp-content\/uploads\/2026\/02\/alert.svg\" alt=\"\" loading=\"lazy\" width=\"64\" height=\"64\">        <\/div>\n    \n            <div class=\"section-alert__main\">\n                            <div class=\"section-alert__title\">Make ChatGPT Web Scraping More Reliable<\/div>\n            \n                            <div class=\"section-alert__description\"><div class=\"[&>*:first-child]:mt-0 _markdownContent_x0d1c_43 [&>*:last-child]:mb-0 [&>ol:first-child]:mt-0 [&>ul:first-child]:mt-0\" data-selected-text-overlay-target=\"_r_55d_\">\n<p class=\"text-size-chat leading-[calc(var(--codex-chat-font-size)+8px)] extension:leading-normal my-2\">Use NodeMaven residential, mobile, and ISP proxies with sticky sessions, geo-targeting, SOCKS5\/HTTP support, and clean pre-filtered IPs. Start with 750MB for just $3.50.<\/p>\n<\/div>\n<div class=\"mt-1.5 flex h-5 items-center justify-start gap-0.5 opacity-0 group-focus-within:opacity-100 group-hover:opacity-100\">\u00a0<\/div>\n<\/div>\n                    <\/div>\n    \n            <a\n            class=\"section-alert__button b-btn b-btn--static-xl b-btn--secondary-black\"\n            href=\"https:\/\/dashboard.nodemaven.com\/accounts\/signup\/?next=\/checkout\/regular\/trial&_gl=1*1um2ioy*_gcl_au*NDk2MjIxNDYuMTc3MzE0MDgwMw..*_ga*NDY4OTU1MjAyLjE3NTc1ODY1MjM.*_ga_33JL89XFQ5*czE3NzQ4Nzg3MjQkbzYwOSRnMSR0MTc3NDg4MDk0OCRqMTIkbDAkaDIxMzU1OTIzODQ\"\n            >\n            Start trial        <\/a>\n    <\/div>\n<\/div>\n\n\n<h2 class=\"wp-block-heading\">FAQ<\/h2>\n\n\n<div\n\t\t\t\n\t\t\tclass=\"so-widget-rhinocore-addons-faq so-widget-rhinocore-addons-faq-default-d75171398898\"\n\t\t\t\n\t\t>    <div class=\"rhino-widget rhino-widget--rhinocore-addons-faq section-faq\">\n        <div class=\"section-faq__list section-faq__list--columns-1\" role=\"list\" aria-label=\"Frequently Asked Questions\">\n                            <div class=\"section-faq__column\">\n                                            <div class=\"section-faq__item\" data-accordion=\"wrapper\" data-accordion-group=\"faq\" role=\"listitem\">\n                            <h3 class=\"section-faq__heading\">\n                                <button class=\"section-faq__trigger\" data-accordion=\"trigger\" type=\"button\" aria-expanded=\"false\">\n                                    <span class=\"section-faq__question\">Can ChatGPT scrape websites?<\/span>\n                                    <svg width=\"28\" height=\"28\" viewBox=\"0 0 28 28\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" aria-hidden=\"true\" focusable=\"false\">\n                                        <path d=\"M7 10.5L14 17.5L21 10.5\" stroke=\"#5D5D5D\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" \/>\n                                    <\/svg>\n                                <\/button>\n                            <\/h3>\n                            <div class=\"section-faq__content\">\n                                <div class=\"section-faq__answer\">\n                                    <p class=\"text-size-chat leading-[calc(var(--codex-chat-font-size)+8px)] extension:leading-normal my-2\">Yes, ChatGPT can access some web information when web features are available, but it is limited for structured scraping. For scalable scraping, use Python, JavaScript, Playwright, Scrapy, or a scraping API.<\/p>\n                                <\/div>\n                            <\/div>\n                        <\/div>\n                                            <div class=\"section-faq__item\" data-accordion=\"wrapper\" data-accordion-group=\"faq\" role=\"listitem\">\n                            <h3 class=\"section-faq__heading\">\n                                <button class=\"section-faq__trigger\" data-accordion=\"trigger\" type=\"button\" aria-expanded=\"false\">\n                                    <span class=\"section-faq__question\">How do I use ChatGPT for web scraping?<\/span>\n                                    <svg width=\"28\" height=\"28\" viewBox=\"0 0 28 28\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" aria-hidden=\"true\" focusable=\"false\">\n                                        <path d=\"M7 10.5L14 17.5L21 10.5\" stroke=\"#5D5D5D\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" \/>\n                                    <\/svg>\n                                <\/button>\n                            <\/h3>\n                            <div class=\"section-faq__content\">\n                                <div class=\"section-faq__answer\">\n                                    <p>Give ChatGPT the target page, fields you want, preferred language, and output format. Then test the script, paste errors back into ChatGPT, improve selectors, and add pagination, retries, or proxies when needed.<\/p>\n                                <\/div>\n                            <\/div>\n                        <\/div>\n                                            <div class=\"section-faq__item\" data-accordion=\"wrapper\" data-accordion-group=\"faq\" role=\"listitem\">\n                            <h3 class=\"section-faq__heading\">\n                                <button class=\"section-faq__trigger\" data-accordion=\"trigger\" type=\"button\" aria-expanded=\"false\">\n                                    <span class=\"section-faq__question\">Is ChatGPT good for web page scraping with Python?<\/span>\n                                    <svg width=\"28\" height=\"28\" viewBox=\"0 0 28 28\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" aria-hidden=\"true\" focusable=\"false\">\n                                        <path d=\"M7 10.5L14 17.5L21 10.5\" stroke=\"#5D5D5D\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" \/>\n                                    <\/svg>\n                                <\/button>\n                            <\/h3>\n                            <div class=\"section-faq__content\">\n                                <div class=\"section-faq__answer\">\n                                    <p>Yes. ChatGPT is useful for writing BeautifulSoup, Scrapy, Selenium, and Playwright scripts. It is especially helpful for first drafts, selector work, and debugging.<\/p>\n                                <\/div>\n                            <\/div>\n                        <\/div>\n                                            <div class=\"section-faq__item\" data-accordion=\"wrapper\" data-accordion-group=\"faq\" role=\"listitem\">\n                            <h3 class=\"section-faq__heading\">\n                                <button class=\"section-faq__trigger\" data-accordion=\"trigger\" type=\"button\" aria-expanded=\"false\">\n                                    <span class=\"section-faq__question\">Do I need proxies for ChatGPT web scraping?<\/span>\n                                    <svg width=\"28\" height=\"28\" viewBox=\"0 0 28 28\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" aria-hidden=\"true\" focusable=\"false\">\n                                        <path d=\"M7 10.5L14 17.5L21 10.5\" stroke=\"#5D5D5D\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" \/>\n                                    <\/svg>\n                                <\/button>\n                            <\/h3>\n                            <div class=\"section-faq__content\">\n                                <div class=\"section-faq__answer\">\n                                    <p class=\"text-size-chat leading-[calc(var(--codex-chat-font-size)+8px)] extension:leading-normal my-2\">For scraping workflows on the bot protected website, yes, proxies often become important. They solve the IP rotation, location control, stable sessions, or fewer access issues.<\/p>\n                                <\/div>\n                            <\/div>\n                        <\/div>\n                                            <div class=\"section-faq__item\" data-accordion=\"wrapper\" data-accordion-group=\"faq\" role=\"listitem\">\n                            <h3 class=\"section-faq__heading\">\n                                <button class=\"section-faq__trigger\" data-accordion=\"trigger\" type=\"button\" aria-expanded=\"false\">\n                                    <span class=\"section-faq__question\">What proxy type is best for web scraping?<\/span>\n                                    <svg width=\"28\" height=\"28\" viewBox=\"0 0 28 28\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" aria-hidden=\"true\" focusable=\"false\">\n                                        <path d=\"M7 10.5L14 17.5L21 10.5\" stroke=\"#5D5D5D\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" \/>\n                                    <\/svg>\n                                <\/button>\n                            <\/h3>\n                            <div class=\"section-faq__content\">\n                                <div class=\"section-faq__answer\">\n                                    <p>Residential proxies are usually the safest default for web scraping. ISP proxies are useful for fast, stable static sessions. Mobile proxies are useful when mobile-like IP behavior matters.<\/p>\n                                <\/div>\n                            <\/div>\n                        <\/div>\n                                            <div class=\"section-faq__item\" data-accordion=\"wrapper\" data-accordion-group=\"faq\" role=\"listitem\">\n                            <h3 class=\"section-faq__heading\">\n                                <button class=\"section-faq__trigger\" data-accordion=\"trigger\" type=\"button\" aria-expanded=\"false\">\n                                    <span class=\"section-faq__question\">Can proxies remove CAPTCHAs completely?<\/span>\n                                    <svg width=\"28\" height=\"28\" viewBox=\"0 0 28 28\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" aria-hidden=\"true\" focusable=\"false\">\n                                        <path d=\"M7 10.5L14 17.5L21 10.5\" stroke=\"#5D5D5D\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" \/>\n                                    <\/svg>\n                                <\/button>\n                            <\/h3>\n                            <div class=\"section-faq__content\">\n                                <div class=\"section-faq__answer\">\n                                    <p>No. Proxies cannot guarantee zero CAPTCHAs. Clean IPs and stable sessions can help reduce unnecessary checks, but the target website, request pattern, browser setup, and scraping behavior still matter.<\/p>\n                                <\/div>\n                            <\/div>\n                        <\/div>\n                                            <div class=\"section-faq__item\" data-accordion=\"wrapper\" data-accordion-group=\"faq\" role=\"listitem\">\n                            <h3 class=\"section-faq__heading\">\n                                <button class=\"section-faq__trigger\" data-accordion=\"trigger\" type=\"button\" aria-expanded=\"false\">\n                                    <span class=\"section-faq__question\">What is better: ChatGPT scraper or scraping API?<\/span>\n                                    <svg width=\"28\" height=\"28\" viewBox=\"0 0 28 28\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" aria-hidden=\"true\" focusable=\"false\">\n                                        <path d=\"M7 10.5L14 17.5L21 10.5\" stroke=\"#5D5D5D\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" \/>\n                                    <\/svg>\n                                <\/button>\n                            <\/h3>\n                            <div class=\"section-faq__content\">\n                                <div class=\"section-faq__answer\">\n                                    <p>ChatGPT is better when you want custom code and control. A scraping API is better when you want managed rendering, retries, and infrastructure. For serious workflows, many teams use both.<\/p>\n                                <\/div>\n                            <\/div>\n                        <\/div>\n                                    <\/div>\n                    <\/div>\n    <\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"\u041d\u0430\u0443\u0447\u0438\u0442\u0435\u0441\u044c \u0432\u0435\u0431-\u0441\u043a\u0440\u0435\u0439\u043f\u0438\u043d\u0433\u0443 ChatGPT \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u043a\u0435. \u0421\u043e\u0437\u0434\u0430\u0439\u0442\u0435 Python-\u0441\u043a\u0440\u0435\u0439\u043f\u0435\u0440, \u044d\u043a\u0441\u043f\u043e\u0440\u0442\u0438\u0440\u0443\u0439\u0442\u0435 \u0434\u0430\u043d\u043d\u044b\u0435 \u0432 CSV, \u0434\u043e\u0431\u0430\u0432\u044c\u0442\u0435 \u043f\u043e\u0432\u0442\u043e\u0440\u043d\u044b\u0435 \u043f\u043e\u043f\u044b\u0442\u043a\u0438 \u0438 \u0443\u0437\u043d\u0430\u0439\u0442\u0435, \u0433\u0434\u0435 \u0447\u0438\u0441\u0442\u044b\u0435 \u043f\u0440\u043e\u043a\u0441\u0438 \u043f\u043e\u043c\u043e\u0433\u0430\u044e\u0442 \u0441 \u0440\u0435\u0430\u043b\u044c\u043d\u044b\u043c\u0438 \u0441\u0430\u0439\u0442\u0430\u043c\u0438.","protected":false},"author":68,"featured_media":38909,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1],"tags":[213,59,205],"class_list":["post-38885","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized","tag-guides-tutorials","tag-residential-proxies","tag-web-scraping"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.7 (Yoast SEO v27.7) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>ChatGPT Web Scraping: How to Build a Python Scraper<\/title>\n<meta name=\"description\" content=\"Learn how to do ChatGPT web-scraping in practice. 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