Instagram Post Scraper

An Instagram post scraper turns the posts on an account or hashtag into rows of data — the caption, the hashtags, the media type, and the public like and comment counts — so you can compare them instead of scrolling. AllyHub does it across several accounts at once and can re-run on a schedule.

Yes — pulling one account’s or one hashtag’s posts with the standard fields is free. Running a whole competitor set, deep back-catalogs, and scheduled re-runs sit on the paid plans.

No on both. Private accounts sit behind a login AllyHub won’t cross, so only public posts are in scope. And reach and impressions are analytics Instagram shows only to the account’s owner — they’re not on the public post, so no scraper can read them. What a scraper can see is only what the post shows a logged-out visitor: the words, the tags, and the counts on the post itself.

Yes — give AllyHub a hashtag and it pulls the top and recent posts carrying it, each with its caption, tags, and public counts. Point it at several related tags at once to map how a topic is being posted across the space.

It computes one — engagement rate isn’t a field Instagram publishes, so AllyHub works it out from the public likes and comments against the follower count. You get the raw counts too, so you can define the rate your own way if you’d rather.

By hand you read one post at a time and record nothing you can compare; a one-time export tool gives you a file and forgets it. AllyHub structures every post across the set into one comparable dataset and saves the run as a Playbook that compounds with every task.