Instagram Scraper API — Extract Profiles, Posts & Reels

Instagram scraper APIs pull public Instagram data — profiles, posts, comments, reels, hashtags — without you needing Meta's official API approval. This guide covers the main scraping use cases and the ready-to-use Instagram workers in this directory.

What you can scrape on Instagram

Profile data: username, bio, follower count, post counts. Post data: caption, engagement, media URLs. Comments: content, commenter info, likes. Reels: view counts, likes, shares, hashtags. This is the data influencers, brands and market researchers use for benchmarking and campaign analysis.

For influencer research, start with profile scraping by username or URL — follower count and engagement are the two numbers that matter most for vetting a creator.

Profile scraping by username vs. URL

You can look up Instagram profiles either by username (no URL needed, great for batch lists) or by profile URL. The username-based route is usually the most convenient for building a research list of dozens or hundreds of accounts.

After profile data, the highest-value next step is post or reel scraping — that gives you the engagement metrics (likes, comments, views) that actually predict whether an audience is real.

Hashtag and comment scraping

Hashtag scraping finds posts and accounts around a topic — useful for trend discovery and audience building. Comment scraping powers sentiment analysis and community research. Both are bulk-friendly: one keyword or post URL in, structured rows out.

Recommended workers

Ready-to-use scraping APIs from this directory — each with a live health score.

Frequently asked questions