Google Sheets

Extract Amazon product data with Scrape.do, AI and Google Sheets

This automated solution leverages Scrape.do to bypass Amazon's anti-bot measures and GPT-4 to intelligently extract structured product data from raw HTML. It seamlessly reads target URLs from Google Sheets and appends refined details like pricing and ratings back into your spreadsheet for easy analysis. Perfect for e-commerce professionals, this workflow ensures high-quality data collection without the manual effort of scraping and parsing.

Run this with your team's AI

What This Recipe Does

This automation transforms the complex process of web data collection into a streamlined, automated pipeline. By connecting Google Sheets with advanced web scraping capabilities, it allows businesses to extract specific information from a list of URLs without manual browsing or copy-pasting. The workflow processes your data in manageable batches, ensuring reliability and preventing system overloads even when dealing with large datasets. It captures raw HTML, parses the necessary components, and structures the output for immediate business use. This tool is essential for organizations that rely on up-to-date market intelligence, competitor monitoring, or lead enrichment. Instead of spending hours on manual research, your team can focus on analyzing the data and making informed strategic decisions. The integration ensures that your internal records stay synchronized with the latest information available on the web, providing a significant competitive advantage through data-driven insights.

What your team gets

Something anyone can use

Forms and dashboards, so it is not a script only one person understands

It keeps running

Runs on your schedule in the cloud, so it does not stop when a laptop closes

Your other tools can call it

Endpoints, so the rest of your stack can trigger the same work

Accounts connected once

Google Sheets connected for the team, not per person

How It Works

  1. 1

    Open the recipe and connect your accounts

    Connect Google Sheets once, in your team cloud, and nobody has to do it again on their own machine

  2. 2

    Tell your own agent what is different about your process

    Claude, ChatGPT, Cursor, whichever your team already uses. It adapts the recipe to how you actually work

  3. 3

    Run it, then leave it running

    It lives in your team cloud, so it keeps going after you close the laptop and every teammate's AI can use it

Who Uses This

Frequently Asked Questions

Do I need to know how to code to use this web scraper?

No. While the automation handles complex technical tasks like HTTP requests and HTML parsing, it is designed to be managed through a simple interface where you provide the source URLs.

Can I choose which specific information is extracted from the websites?

Yes. The workflow can be configured to target specific data points such as page titles, meta descriptions, pricing tables, or specific text blocks depending on your business needs.

How does the Google Sheets integration work?

The automation reads your list of target URLs directly from a designated Google Sheet and can be set up to write the extracted results back into the same sheet or a new one.

Is there a limit to how many pages I can scrape at once?

The workflow includes a batching mechanism that processes URLs in smaller groups, which helps maintain stability and ensures you don't hit rate limits on the target websites.

Coming from n8n?

This recipe uses nodes like ManualTrigger, Langchain.lmChatOpenAi, Langchain.outputParserStructured, GoogleSheets and 6 more. On Runwork, you don't need to learn n8n's workflow syntax. Describe what you want to your own AI agent in plain English.

ManualTrigger Langchain.lmChatOpenAi Langchain.outputParserStructured GoogleSheets SplitInBatches HttpRequest Html Langchain.chainLlm SplitOut StickyNote

Based on n8n community workflow. View original

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Run this with the AI your team already uses

Your agent adapts it, your team cloud keeps it running, and everyone's AI can find it.

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