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Integrate Apify Google Maps Scraper into BigQuery
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 BigQuery with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Apify Google Maps Scraper
To support enterprise-scale data integration, pipelines must ingest web data from varied origins, including trusted partners, internal databases, and external web-based assets.
Step 2
Transform, and then add BigQuery
Ready to move fast with web data? Datastreamer offers a full suite of operations—augment, join, store, filter, and more—so you can transform raw data into real insights instantly.
Step 3
That's it! You have just connected Apify Google Maps Scraper and BigQuery
No more hassle with web data. Datastreamer allows you to boost your Pipelines on demand and tackle previously difficult operational issues head-on.