Google Maps Business Scraper

Step 01

Problem

Getting contact data from local businesses for prospecting requires searching one by one on Google Maps and manually copying information. It's tedious, slow and error-prone.

Step 02

Context and constraints

I built a Playwright scraper that automates Google Maps searches, extracts structured business data (name, address, phone, website, hours, rating, reviews, coordinates) and exports them ready to use.

Role: Scraper developer: automated Google Maps navigation, multi-field extraction, result pagination and structured export.

Step 03

Key decisions

• Playwright with Chromium for visual navigation and precise DOM extraction from Google Maps.
• Full extraction: name, address, phone, website, hours, rating, review count and coordinates.
• Automatic pagination to capture all results from a search query.
• Search by business type and location: parameterizable from command line.
• CSV and JSON output with consistent structure for direct integration into data pipelines.

Step 04

Outcomes

• Automated extraction of hundreds of businesses per search.
• Complete structured data with zero manual intervention.
• Ready for local prospecting campaigns, competitive analysis or commercial databases.

Metrics

• Hundreds of businesses extracted per scraping session.
• 8+ fields extracted per business (name, address, phone, website, hours, rating, reviews, coordinates).
• Automatic pagination until search results are exhausted.

Step 05

Learnings and next improvement

Step 06

Visual resources