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Join Apify's Facebook Comment Scraper with Bright Data LinkedIn
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Apify's Facebook Comment Scraper
Use the Apify Facebook Comment Scraper to collect comments from Facebook posts. Add the post URLs, set the number of comments you want, and optionally choose comment order and whether to include replies.
You’ll get: text, timestamps, like counts, commenter info, reply counts, urls, and nested replies.
Collect and extract LinkedIn company profiles and people profiles using URLs. Returns matching company that include the location, industry, number of employee; and people profile that include the location of the user, current company, experiences, number of connections and more.
Quickly connect Apify's Facebook Comment Scraper and Bright Data LinkedIn with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Apify's Facebook Comment 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
Add Bright Data LinkedIn with Unify or another transformer to combine schemas
Transform your web data at scale with Datastreamer. Whether you're enriching, storing, joining, or filtering, you'll find hundreds of ready-made operations to help you move fast.
Step 3
That's it! You have just connected Apify's Facebook Comment Scraper and Bright Data LinkedIn
Datastreamer transforms how you use web data. Grow your Pipelines without disruption and finally streamline the operational side of your workflow.