• author: The PyCoach

Introducing the Chat GPT Plugin for Website Scripting: Scraper

Are you tired of spending hours scripting websites? Look no further! We have recently discovered a powerful plugin called Scraper, a Chat GPT plugin, that allows you to script websites in seconds. With simple prompts and specified links, you can extract all the data you desire from various websites. While Scraper may not be compatible with all websites, it has proven to be highly effective for popular ones like YouTube. In this article, we will explore the features and capabilities of this plugin in detail.

Enabling Scraper Plugin

To begin using Scraper, you will need to have a ChatGPT Plus subscription. Once you have subscribed, you need to enable the plugins in your settings. Navigate to the plugin section and choose "Scraper" from the dropdown menu in the Plugin Store. Install the Scraper plugin to enable it for use.

Scraping Websites Using Scraper

YouTube Scraping Example

Let's start with an example of scraping data from YouTube. Assume you want to extract the titles, number of views, and publication dates of videos from your YouTube channel. Begin by copying the link to your YouTube site. Open ChatGPT and type the following prompt:

Scrape the titles, views, and publication dates from the videos listed on my YouTube channel. Website: [paste your YouTube link here]

Once you press Enter, the Scraper plugin will begin extracting the specified data from your YouTube channel. By default, Scraper will extract the first 10 videos. However, it is possible to request more items for extraction.

Extracting More Items

If you wish to extract more than the default number of items, you can command Scraper accordingly. For example, to scrape 10 additional videos from the same YouTube website, ask:

Can you scrape 10 more items from the YouTube website I provided before?

Scraper will continue scraping and add these additional items to the initial list.

Exporting Data

If you need to export the scraped data, Scraper allows you to put the data into a table format. You can then easily copy and paste the data into a spreadsheet application like Excel or Google Sheets. To do this, ask ChatGPT:

Can you put the scraped items into a table?

Now you have your data organized in a neat table format, ready for further analysis or exporting to other formats, such as CSV files.

Limitations and Known Issues

While Scraper is highly effective for most websites, it does have limitations and known issues to be aware of. These include:

  1. Compatibility: Scraper may not be able to scrape websites that explicitly prohibit web scraping in their terms of service.
  2. Dynamically Loaded Data: Websites that load their data dynamically, such as through scrolling or button clicks, may pose challenges for Scraper.
  3. Error Handling: Occasionally, Scraper may encounter errors when extracting data, resulting in missing or incomplete information. However, these issues are generally infrequent.
  4. Exporting Limitations: At present, Scraper does not directly support exporting scraped data to CSV files, although this functionality may be available in the future with the Code Interpreter plugin.

Exploring Other Website Scraping Examples

Let's explore a couple of additional examples to showcase Scraper's versatility.

Business Insider Scraping

Assume you want to scrape the titles, descriptions, and publication dates of news articles from Business Insider's website. Craft the following prompt in ChatGPT:

Scrape the headlines, publication dates, and descriptions from the articles listed on the Business Insider website.

Unfortunately, in our test, Scraper encountered difficulties scraping Business Insider. However, this may have been an isolated case, as it previously worked during initial tests.

Handling Dynamically Loaded Data

One of the limitations of Scraper is its inability to handle websites that load data dynamically. To demonstrate this, consider scraping the articles from a personal website that requires scrolling to load all the data. Although Scraper can extract the initial items, it cannot scrape beyond those initially displayed. This limitation highlights the need for more advanced tools like Selenium for dynamic data extraction.

Make Data Analysis Easier with Quadcode

If you are a data analyst or data scientist looking to elevate your data analysis capabilities, we recommend using Quadcode. Quadcode, our sponsor for this video, is a tool that combines spreadsheet familiarity with the power of code. With Quadcode, you can write Python code, SQL queries, and Excel formulas directly within a spreadsheet environment. Additionally, you can use third-party Python libraries for more advanced data analysis tasks. Quadcode offers a visual and interactive way to work with data and provides detailed output similar to Jupyter notebooks. Further, Quadcode's infinite extendability allows for seamless exploration and manipulation of data.

To explore all that Quadcode has to offer, visit quadcodehq.com, or click the link in the video description.


In summary, Scraper, the Chat GPT plugin, offers a speedy and convenient solution for website scripting. While it may have limitations regarding terms of service, dynamically loaded data, and occasional errors, it has proved effective for a variety of websites. By utilizing Scraper in combination with other tools like Quadcode, you can streamline your data scraping and analysis workflows. Share in the comments which websites you have successfully scraped using Scraper, and stay tuned for more exciting plugins and tools in the future!

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