Lead Generation & List Building
Turn directories, search results and company pages into a clean, qualified lead list — collected on a schedule and pushed straight into your CRM.
Buying lead lists gets you stale, over-sold contacts. Building them by hand burns hours. Prompteryx lets you assemble targeted lists from the sources you trust — directories, search results, association pages, company sites — with a real browser that gets past the JavaScript and pagination that stop most tools.
Then it goes further than scraping: an AI step can score and qualify each lead against your criteria before it ever reaches your CRM, and a schedule keeps the list fresh without you lifting a finger.
The problem
Sales teams need fresh, relevant leads, but the data lives across dozens of sites in inconsistent formats — and most scraping tools dump raw rows with no qualification, leaving reps to sift manually.
How it works in Prompteryx
Drive a real browser through directories and search results, capturing company name, contact, location and links across every page.
Normalise fields and drop duplicates by domain or email as rows are collected.
Score each lead against your ideal-customer criteria with an AI node, tagging the strong ones automatically.
Append to Google Sheets or Airtable, or create records directly in your CRM via the integration hub.
Run weekly (or daily) so new leads arrive continuously — the workflow runs server-side on its own.
Start from a working workflow
Web Data Scraper
The collection engine — navigate directories, extract each listing's fields, and append to a sheet.
AI Lead Qualification from Google Sheets
Automatically score and qualify new leads in a Google Sheet using an LLM, so reps only see the ones worth calling.
See it in Prompteryx
Why Prompteryx for this
3,000+ integrations
Push qualified leads straight into HubSpot, Salesforce, Airtable, Google Sheets, Slack and thousands more — the browser scrape and the CRM write live in one workflow.
AI qualification built in
Score leads against your criteria inside the same workflow, so the pipeline only fills with contacts worth a rep's time.
Scheduled freshness
Run on a cadence so the list rebuilds itself — server-side, no machine left running.
Pay by the second
Short, frequent collection runs cost a fraction under per-second billing versus tools that round every run up to a full minute.
Real-life examples
Scrape a regional directory for every plumber in a county, qualify by review count, and drop the top tier into a sales sheet each Monday.
Pull an exhibitor list, enrich each company from its site, score fit with AI, and create CRM records for the matches.
Collect candidate profiles from public listings into Airtable, tagged by skill match.
Frequently asked questions
Can it qualify leads, not just collect them?
Yes. An AI node scores each lead against your ideal-customer profile inside the same workflow, so your CRM fills with pre-qualified contacts rather than raw rows.
Where do the leads end up?
Anywhere you connect — Google Sheets, Airtable, HubSpot, Salesforce, Notion, Slack and 3,000+ other apps via the integration hub, in the same workflow as the scrape.
How do I keep the list current?
Set the workflow to Active with a daily or weekly schedule and it runs on our servers automatically, appending only new, deduplicated leads.