AI Lead Generation Pipeline
Automation that finds business leads, filters out incomplete ones, scores each lead with an AI agent, and saves the qualified leads to a spreadsheet.
Technologies & Infrastructure
Architecture & Implementation
Finding and qualifying leads by hand means searching directories, copying contact details into a spreadsheet, and judging each business one by one. This pipeline turns that into a single form submission. A search query, location, and result count start a scraper that collects matching businesses. The raw results are filtered to drop incomplete records before any AI is involved, so tokens are only spent on usable leads. Each remaining lead goes through a loop into an AI agent, which scores the lead and writes a short qualification summary. Processing leads one at a time keeps every prompt small and makes a failure affect one lead instead of the whole batch. Qualified leads are added to a spreadsheet, ready for outreach.
How the Workflow Runs
- 1
Search request
Search query, location, and number of results (1–100) start the run.
- 2
Scrape businesses
Collects matching businesses and waits until the results are ready.
- 3
Filter
Drops records with missing contact details so only usable leads continue.
- 4
Loop over leads
Sends leads to the AI agent one at a time.
- 5
AI scoring
Scores each lead and writes a short qualification summary.
- 6
Save to spreadsheet
Adds every qualified lead as a new row.
See it run for real
Enter a business type and a location. The same pipeline scrapes live data, scores each lead with AI, and shows you the results in about a minute.