Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
Use the Apify Facebook Post Scraper to get post data by adding one or multiple page URLs and the amount of posts you want to scrape.
You’ll get: Links, unique ID, timestamps, content types, captions, hashtags, mentions, likes, comments, shares, media info, post owner info, tags, and locations.
View Apify details: https://apify.com/apify/facebook-posts-scraper
Integrate to your Datastreamer pipelines: https://docs.datastreamer.io/docs/apify#/
URL-based collection of Glassdoor jobs listing. Returns matching jobs listing that contain hiring company, company rating, job position, job location, job description, hiring company’s reported revenue, percentage of employees recommending the company to a friend and more.
How Datastreamer works
Quickly connect Apify's Facebook Post Scraper and Bright Data Glassdoor Job Listings with a Datstreamer Pipeline.
Web data serves as the foundational input for any data pipeline. Pipelines can be powered by diverse data sources, including datasets from our partner ecosystem, proprietary internal systems, or any externally accessible web data.
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.
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.
Add Datastreamer components to your data stack and explore its full capabilities
