scrape-leads

Automating sales prospecting to Google Sheets involves scraping search results, using LLM classification to verify lead quality, enriching emails, and uploading the final list. This workflow requires Apify and Anthropic credentials to process and deliver leads directly to your spreadsheet.

Test-before-scale lead generation runs a small sample scrape first to check match rates against your target profile. It refines search filters before executing the full scrape, ensuring your final lead list is qualified and accurate rather than overly broad or weak.

Yes, email enrichment during lead generation requires AnyMailFind credentials, while Apify credentials handle the initial search scraping. You also need Anthropic and Google Sheets credentials to complete the LLM classification and spreadsheet delivery workflow.

LLM classification processes ambiguous leads by using Anthropic models to evaluate and categorize scraped data. This ensures only leads matching your target profile are kept, automatically filtering out mismatches before email enrichment and spreadsheet delivery.

Yes, the lead generation workflow includes Python scripts for deduplication and batch updates. After filtering and enriching the scraped data, it processes the leads to remove duplicates and batch updates the final list directly into your Google Sheets.