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Join Bright Data Glassdoor Job Listings with Apify TikTok 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 TikTok Comments Scraper
Retrieve comments from videos by calling Apify's TikTok Comments Scraper. To set up this Actor, you will need to add TikTok video URLs to extract the comments from, the desired number of comments, and optionally, the maximum number of replies per comment.
For each TikTok video, you will extract:
Comment details: comment text, timestamp, and number of likes.
Commenter profile: username, ID, and avatar URL.
Engagement data: number of replies.
Post association: URL of the TikTok video the comment belongs to.
Quickly connect Bright Data Glassdoor Job Listings and Apify TikTok Comments Scraper with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Bright Data Glassdoor Job Listings
Enterprise data pipelines are built on the continuous flow of web data, which can originate from partner networks, internal infrastructures, or any external digital source.
Step 2
Add Apify TikTok Comments 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 Glassdoor Job Listings and Apify TikTok Comments Scraper
Web data, unlocked. Datastreamer empowers you to expand your Pipelines as needed while removing friction from your operations.