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Add Datastreamer components to your data stack and explore its full capabilities

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We’re always happy with any other questions you might have. Send us an email at [email protected]

Join Bright Data Wikipedia with Apify Google Maps Scraper

Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.

About Bright Data Wikipedia

Extract data about articles, categories, and contributors from en.wikipedia.org.

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

View the actor on Apify: https://apify.com/compass/crawler-google-places

Integrate to your Datastreamer pipelines: https://docs.datastreamer.io/docs/apify#/

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How Datastreamer works

Quickly connect Bright Data Wikipedia and Apify Google Maps Scraper with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Bright Data Wikipedia

Effective enterprise integration requires diverse data inputs. Web data—whether from partner ecosystems, proprietary systems, or public sources—offers the scale and flexibility needed to drive data pipelines.

Step 2

Add Apify Google Maps Scraper with Unify or another transformer to combine schemas

Make your web data work harder. With Datastreamer, you can enrich, filter, join, structure, store, or search data effortlessly using hundreds of out-of-the-box operations.

Step 3

That's it! You have just connected  Bright Data Wikipedia and Apify Google Maps Scraper

Web data, unlocked. Datastreamer empowers you to expand your Pipelines as needed while removing friction from your operations.

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Schedule Demo

Experience Seamless Data Integration Yourself

Add Datastreamer components to your data stack and explore its full capabilities

Try it Now

Questions?

We’re always happy with any other questions you might have. Send us an email at [email protected]

Hundreds of ready-to-use-integrations in one place.

Detecting Sentiment and Entities
Enterprise Stack Integrations
Exploring Reviews Kit
Integrating eCommerce Kit
Leveraging Dark Web
Location Enrichments
Location-Based Data Collection
OSINT Starter Kit
Quick KYC and Underwriting Kit
Quick Social Media Integrations
Learn more -->

Get started automating your data pipelines with Datastreamer

Rapidly create, manage, and deploy data pipelines to power your product, using over 38,000+ pre-built, no code capabilities.
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