The problem. Business listings needed to be collected and kept organized, but manual entry was slow, inconsistent, and impossible to scale.
What I built. An automated scraper that pulls business listings from the web and syncs them straight into Airtable, so the data lands where it's actually used. The pipeline handles the collection, cleaning, and delivery end to end.
Stack. Python, BeautifulSoup, Playwright, Airtable.
Outcome. Automated collection of 10,000 listings with a direct pipeline into Airtable, no manual data entry.
2 likes · 14 views · Oct 19, 2025
A full case study with the problem, what you built, stack, and the 10,000 listings outcome.
