Web Scraping for Lead Gen: A Practical Guide
Extract business data from any website legally and ethically to build your prospect lists.
Why Scrape for Leads?
Databases like Apollo and ZoomInfo are great, but they miss niche markets. Scraping lets you build custom lists from:
- Google Maps — Local businesses
- Industry directories — Niche B2B companies
- Job boards — Companies actively hiring (= growing)
- Review sites — G2, Capterra for SaaS competitors
Legal Considerations
Always respect robots.txt, rate limits, and personal data laws. Scraping public business data is generally fine; scraping personal data requires more care.
Tool Stack
| Tool | Use Case |
|---|---|
| Playwright | JavaScript-heavy sites |
| Cheerio | Static HTML parsing |
| n8n | Orchestration & scheduling |
| Apify | Managed scraping infrastructure |
Example: Scraping Google Maps
const results = await scrapeGoogleMaps({
query: "marketing agencies in Austin TX",
maxResults: 100,
fields: ["name", "phone", "website", "rating"]
});
Data Cleaning Pipeline
Raw scraped data is messy. Always run it through:
- Deduplication — Remove duplicate entries
- Validation — Check URLs, phone formats
- Enrichment — Add emails via Hunter.io
- Scoring — Rate leads by fit
Putting It All Together
Use n8n to schedule daily scraping runs, pipe results through cleaning, and push verified leads directly to your CRM.
Published February 23, 2026
Building businesses with automation and AI. Sharing workflows, templates, and real strategies that work.
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