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Join Data365 Facebook data with Apify Google Maps Scraper
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Data365 Facebook data
Collect and extract Facebook posts and profiles using hashtags and keywords. Data365 offers advanced capabilities for collecting Facebook data, helping you understand and popular themes, monitor emerging trends, and even identify potential threats.
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 Data365 Facebook data and Apify Google Maps Scraper with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Data365 Facebook data
Web data is the foundation of any pipeline. You can leverage a wide range of data sources to power your pipelines—whether it's data from our partner network, your internal systems, or any publicly available web data.
Step 2
Add Apify Google Maps Scraper with Unify or another transformer to combine schemas
To accelerate using your web data, you can apply any number of operations to the data. Enrich, augment, join, structure, filter, storage, search, or more! Datastreamer has hundreds of plug-and-play operations that you can apply.
Step 3
That's it! You have just connected Data365 Facebook data and Apify Google Maps Scraper
With Datastreamer it’s never been easier to use web data. You can dynamically expand your Pipelines with more capabilities, and you’ve now been able to solve your operational bottlenecks in working with web data.