Custom Web Scraping with Python
Build and run a custom Python scraper for publicly accessible sites when off-the-shelf data providers do not cover the source you need.
What problem does this solve?
Sometimes the list you need does not exist in any data provider — it lives on a directory, marketplace, or association page. Custom scraping is how you build a list nobody else is emailing.
Business outcome
- Access data sources no provider covers
- Build lists your competitors cannot buy
- Structured output ready for enrichment
Last resort after checking data providers. High maintenance.
Ongoing maintenance required — sites change their markup.
How the system fits together
Hover a node for detail, or tap a tool below to see where it runs.
Sometimes the list you need does not exist in Apollo, Clay, or any provider — it exists on a directory, a marketplace, or an association page. Custom scraping is how you build a list nobody else is emailing.
- A working scraper for a public source no provider covers
- Structured output ready for enrichment
- A list your competitors are not working
- GTM engineers
- RevOps teams
- Technical founders
6 steps, start to finish
Common questions
Build it yourself, or have it installed
The documentation above is complete — everything you need is on this page. The only question is whether you want to spend the time.
Free · 3–5 hours
Done with your team
We diagnose the constraint first — if this system isn’t what you need, we’ll say so.