Extract data from

Instagram post details

Extract structured details from any Instagram post or Reel into a clean table—ideal for social media marketers, influencer managers, and brand analysts. Capture key metadata like caption, author, engagement metrics, hashtags, and timestamps, then enrich, summarize, and export to Google Sheets, Airtable, or Notion. This template is maintained by Bardeen for reliable, high‑quality Instagram data extraction.

Website to scrape
Instagram post details
Export
CSV
Google Sheets
Airtable
Notion
Data to extract
Premium
More about this Scraper Template

Who it’s for: Social media managers, influencer marketers, brand analysts, and agencies globally who need fast, reliable Instagram post and Reel data for research and reporting. This scraper pulls core post metadata—including caption text, author handle, post URL, publish date, engagement metrics (e.g., likes, comments, and views where available), hashtags, mentions, location (if present), and media links—so you can analyze content performance at scale.

How you’ll use it: Build competitor content trackers, vet influencers with real engagement insights, source UGC, and power campaign reporting. With the Bardeen Chrome extension, you can automatically send rows to Google Sheets, Airtable, or Notion, compute engagement rates, cluster or de-duplicate hashtags, summarize captions with AI, tag content themes, and create ready-to-share scorecards—all from a single workflow.

Quality you can trust: This template is built and actively maintained by Bardeen to adapt to Instagram changes, ensuring stable, accurate scraping and the best-quality data for your workflows.

What to do after you scraped data from a website

With Bardeen, you can do much more than just web scraping. After extracting data from any website, use Bardeen’s powerful automation tools to validate and enrich your data, run additional scrapers on linked pages, or leverage AI to qualify leads and generate content automatically. Once your data is ready, you can easily export it to CSV, Google Sheets, Airtable, or Notion for further analysis and reporting.

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