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Join Bright Data Github Code with Apify Google Maps Scraper
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Bright Data Github Code
Collect and extract code repositories on Github.
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 Bright Data Github Code and Apify Google Maps Scraper with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Bright Data Github Code
Web data plays a central role in enterprise data integration, serving as a primary input across pipelines. It can be sourced from partner networks, internal systems, or the open web to support scalable data workflows.
Step 2
Add Apify Google Maps Scraper with Unify or another transformer to combine schemas
Accelerate your web data workflows with Datastreamer. Whether it's enriching, joining, filtering, or storing your data, choose from hundreds of pre-built operations ready to deploy instantly.
Step 3
That's it! You have just connected Bright Data Github Code and Apify Google Maps Scraper
Using web data has never been this easy—thanks to Datastreamer. Expand your Pipelines on the fly and overcome the workflow challenges that once slowed you down.