Track competitor prices and contacts into Google Sheets
Competitor research takes me 2 minutes now. Task: The user implemented a workflow combining a custom web scraper with Claude AI to automate competitor research. The scraper monitors target websites for price changes and product data, while Claude extracts contact information and company details, writing them directly into Google Sheets. This replaced a manual process that previously consumed 10-15 hours per month. The source does not specify the human's ongoing role in validating or acting on this data.; tools: Claude. Human role: The original post does not say how a person stayed involved.; limitations: The source is a social media post with secondary reliability, lacking technical details on the scraper's implementation or Claude's specific prompts. It does not address potential issues like website blocking, data accuracy errors, or API costs. The workflow assumes stable website structures and may fail if competitors change their layouts. Human oversight is implied but not defined, creating risk if automated data is used without validation..
Tools
Published on Agent Work Atlas:
Overview
Competitor research takes me 2 minutes now.
Workflow
The user implemented a workflow combining a custom web scraper with Claude AI to automate competitor research. The scraper monitors target websites for price changes and product data, while Claude extracts contact information and company details, writing them directly into Google Sheets. This replaced a manual process that previously consumed 10-15 hours per month. The source does not specify the human's ongoing role in validating or acting on this data.
Reported result
The author claims competitor research now takes 2 minutes and updates hourly, allowing them to focus on closing deals. However, no independent metrics or verified outcomes are provided to confirm these time savings or business impacts. The claim of '2 minutes' likely refers to the setup or review time rather than the full automated cycle. Actual performance and reliability remain unverified by external evidence.
Human role
The original post does not say how a person stayed involved.
Limitations
The source is a social media post with secondary reliability, lacking technical details on the scraper's implementation or Claude's specific prompts. It does not address potential issues like website blocking, data accuracy errors, or API costs. The workflow assumes stable website structures and may fail if competitors change their layouts. Human oversight is implied but not defined, creating risk if automated data is used without validation.
Try it
Act as a business analyst. I need to set up a competitor monitoring system using a web scraper and Claude AI to populate a Google Sheet. [Replaceable inputs: List of 3 competitor URLs, specific product categories to track, target Google Sheet ID]. First, write a Python script using BeautifulSoup or Selenium to extract product names, prices, and URLs from these sites. Then, create a prompt for Claude to parse this raw data, extract contact info if available, and format it for Google Sheets. Before running the full process, execute a dry run on one product page and show me the extracted JSON output for approval. Only proceed to write to the Google Sheet after I confirm the data accuracy. Do not send any emails or make purchases based on this data without my explicit instruction. If a website blocks the scraper, log the error and pause, asking me for alternative sources.
Source reports are not independently verified. Publication date is the catalog publication date, not the original article date.