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Join Open Measures Telegram with Apify Google Maps Scraper
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Open Measures Telegram
A specialized Telegram product focused on collecting users and channel content associated with the Russian state, Russian-affiliated propaganda, white nationalist groups, and European far-right organizations.
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 Open Measures Telegram and Apify Google Maps Scraper with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Open Measures Telegram
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
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 Open Measures Telegram 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.