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Join Bright Data Glassdoor Job Listings with Apify Instagram Comments Scraper
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Bright Data Glassdoor Job Listings
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.
About Apify Instagram Comments Scraper
Retrieve comments from posts by calling Apify's Instagram Comments Scraper within your pipeline!
To set up this Actor, you will need to add Instagram posts or reels to extract the comments from, the desired number of comments, and optionally, the order of comments, and replies.
For each Instagram post, you will extract:
Comment details: comment text, timestamp, and number of likes.
Commenter profile: username, full name, profile picture URL, and account status (private or public).
Engagement data: number of replies and whether the commenter is verified.
Post association: URL of the Instagram post the comment belongs to.
Replies (if any): nested replies under the main comment.
Quickly connect Bright Data Glassdoor Job Listings and Apify Instagram Comments Scraper with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Bright Data Glassdoor Job Listings
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 Instagram Comments Scraper 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 Bright Data Glassdoor Job Listings and Apify Instagram Comments Scraper
Datastreamer transforms how you use web data. Grow your Pipelines without disruption and finally streamline the operational side of your workflow.