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Join Apify Google Maps Scraper with Bright Data Github Code
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Apify Google Maps Scraper
Apify’s Google Maps Scraper that allows you to discover and extract business leads by filtering places based on both search terms and categories. Use capabilities like:
Category-Based Filtering: Filter businesses using Google Maps' extensive category system with over 4,000 available options
Location Targeting: Define your target market using simple location queries (city + country format)
Keyword-Based Discovery: Find businesses using the same search terms you'd enter in Google Maps
Quality Filters: Focus on high-quality leads by setting minimum star ratings
Website Availability Filter: Target only businesses with (or without) websites
Exact Name Matching: Find businesses with exact or partial name matches
Operational Status Filter: Exclude temporarily or permanently closed businesses
Quickly connect Apify Google Maps Scraper and Bright Data Github Code with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Apify Google Maps Scraper
Enterprise-grade data pipelines begin with flexible data ingestion. Web data—sourced from partners, internal platforms, or the open internet—provides the raw inputs needed for integration and transformation.
Step 2
Add Bright Data Github Code with Unify or another transformer to combine schemas
Datastreamer puts data control in your hands. Apply hundreds of operations—filter, enrich, structure, join, and beyond—to unlock the full value of your web data.
Step 3
That's it! You have just connected Apify Google Maps Scraper and Bright Data Github Code
Empower your data team with Datastreamer. Expand your web data Pipelines effortlessly and clear the operational hurdles that once limited your efficiency.