Best for
- Sales teams building niche lead lists from public directories or websites
- RevOps teams that need quality controls before leads hit the CRM
- Agencies sourcing prospects for tightly defined B2B campaigns
Extract leads from public sources, enrich and validate them, then import only qualified records into your CRM with source tracking and quality checks.
Create a repeatable lead sourcing workflow with scraped records, enrichment, validation, QA sampling, and CRM import controls.
Quick view
Check the audience, core tools, and access before you start the detailed steps.
Best for
Core tools
6 tools used across the workflow.
Access
Preview the open steps, then unlock the remaining implementation details and prompts.
Why this works
Lead scraping is easy to do badly. The value is not in collecting the most rows; it is in extracting the right records, enriching them, validating contact data, and stopping bad data before it pollutes the CRM. This workflow turns scraping into a governed lead research process.
Expected results
Qualified records
100-500 per batch
A focused no-code scrape plus enrichment can produce this range, but the exact number depends on source size and ICP strictness.
QA sample
20-30 records reviewed
Sampling catches extraction errors, bad source fit, and invalid records before the entire batch enters the CRM.
Time saved
6-12 hours per batch
Scraping, enrichment, and validation reduce manual copy-paste research while preserving human review where it matters.
CRM hygiene
Only approved records imported
The workflow protects the CRM from low-fit, duplicate, unvalidated, or unsupported scraped leads.
Step-by-step workflow
The first 2 steps are open. Pro unlocks the remaining steps, copy-paste prompts, pro tips, tool-by-tool setup guidance, and implementation details.
45 min
45 min
Write the source list and ICP rules before scraping. Include target industries, company size, regions, titles, exclusions, required fields, acceptable source types, and compliance constraints. If the source does not map to a real campaign, do not scrape it.
A lead sourcing rulebook with target criteria, exclusions, and required fields.
Narrow sources beat broad sources. A smaller list from a high-intent directory often performs better than a huge generic scrape.
1-2 hours
1-2 hours
Use Gumloop to create a no-code scraping flow for the approved source. Extract company name, website, location, category, description, profile URL, visible contact info, and any qualification clues. Export the results to Google Sheets with source URL and scrape date for every row.
Raw scraped lead records with source URL, scrape date, and qualification clues.
Always store the source URL. Without it, QA becomes guesswork and reps cannot verify why a lead is in the list.
Pro workflow preview
Previewing 2 of 8 steps
Get the remaining 6 steps, copy-paste prompts, pro tips, tool-by-tool setup guidance, and ongoing workflow and prompt releases.
$9/month
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