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Lead ResearchadvancedPro

Build a no-code lead scraping system with a strict QA gate

Extract leads from public sources, enrich and validate them, then import only qualified records into your CRM with source tracking and quality checks.

What you will have

Create a repeatable lead sourcing workflow with scraped records, enrichment, validation, QA sampling, and CRM import controls.

Setup time
4-7 hours
Time saved
6-12 hours per lead sourcing batch
Estimated cost
$150 to $700 per month
Tools used
6 tools

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.

Step-by-step workflow

Preview the 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.

1

Define the source and qualification rules

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.

Output

A lead sourcing rulebook with target criteria, exclusions, and required fields.

Google Sheets
Pro tip

Narrow sources beat broad sources. A smaller list from a high-intent directory often performs better than a huge generic scrape.

2

Build the scraper flow in Gumloop

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.

Output

Raw scraped lead records with source URL, scrape date, and qualification clues.

GumloopGoogle Sheets
Pro tip

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

Pro membership

Unlock the full workflow

Get the remaining 6 steps, copy-paste prompts, pro tips, tool-by-tool setup guidance, and weekly new workflows.

$9/month

Normalize and deduplicate the data
Enrich and score accounts in Clay
Find contacts and validate emails
Run a manual QA sample before CRM import
Import approved leads with source tracking
Measure list quality after outreach
See Pro plan
3Normalize and deduplicate the data
Locked
4Enrich and score accounts in Clay
Locked
5Find contacts and validate emails
Locked
6Run a manual QA sample before CRM import
Locked
7Import approved leads with source tracking
Locked
8Measure list quality after outreach
Locked

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.

Related workflows

Continue with workflows that share a similar GTM motion, category, or tool stack.