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Join Vetric Social Media Advertisements with Apify Instagram Comments Scraper
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Vetric Social Media Advertisements
Collect ad info and advertiser info from Social Media platform, by adding filters such as country, category, keyword or advertiser.
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 Vetric Social Media Advertisements and Apify Instagram Comments Scraper with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Vetric Social Media Advertisements
Scalable data integration in the enterprise depends on ingesting heterogeneous web data sources. These include data from internal systems, ecosystem partners, and the broader web.
Step 2
Add Apify Instagram Comments Scraper with Unify or another transformer to combine schemas
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.
Step 3
That's it! You have just connected Vetric Social Media Advertisements and Apify Instagram Comments Scraper
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.