Platform: n8n · Made by OQuark
Lead research from a website
For each company in a Google Sheet, reads its website, summarizes what it does, estimates its size and scores fit with your ideal customer profile from 0 to 100.
You describe your ideal customer once; the workflow fetches each lead's homepage, strips the HTML and asks the AI for a structured profile with segment, audience, buying signals and an opening line for first contact. Everything goes back to the same sheet. It only uses the company's public page: no LinkedIn scraping and no personal data collection.
What's in the package
- n8n workflow (workflow.n8n.json) with rate limiting and handling of sites that are down
- Profile and scoring prompt with the JSON response schema
- Sheet template and sample input and output
- README with step-by-step setup and tips to calibrate the score
Files:
- README.md
- prompt.md
- workflow.n8n.json
- examples/input.json
- examples/output.json
What you need
- n8n (Cloud or self-hosted, version 1.80 or newer)
- Google Sheet with company and website columns (template in the README)
- Anthropic or OpenAI API key
Works with
See the Research and study rankingTemplates are OQuark products and are kept apart from the ranking: selling a template never changes a tool's position, and the tools named here did not pay to appear.