Hey folks,

Wanted to share a Chrome extension I’ve been using for Instagram data collection, and also open up a discussion about one of the more interesting technical challenges it solves — rate limit handling on Instagram’s end.

The extension is called Instagram Comments Scraper. The core functionality is simple: paste any public Instagram post URL, click “Start Parsing,” and it exports all comments to CSV or Excel. No API keys, no auth, no backend — everything runs locally inside the browser.

What caught my attention technically

Instagram doesn’t publicly document its rate limits, and they vary per IP. Most scraping tools just break or throw an unhandled error when they hit a limit. This extension handles it differently:

-– When a rate limit error is detected, it enters a “Cooldown Mode” automatically with a visible countdown timer — If the error persists after the cooldown, the wait period doubles (2x backoff) — Once a successful request goes through, it switches back to Normal mode

It’s essentially an adaptive exponential backoff implemented at the extension level, without any server-side coordination. For anyone who’s built crawlers or scrapers before, you’ll recognize this pattern — it’s the same approach you’d use with any API that has undisclosed throttling rules.

Data output structure

Each exported row contains:

-– id — text — username — profile_url — profile_pic_url — date

Clean enough to pipe directly into pandas, load into Airtable, or just work with in Excel.

Security design worth noting

No password or OAuth token required — the extension only accesses public comment data from the post URL you explicitly provide. All processing is local (no external server calls), and there’s a built-in human-like delay system to keep request patterns within safe thresholds.

For anyone building something similar or thinking about browser extension architecture for data collection — curious how you’d approach the rate limit problem differently. The doubling cooldown works well in practice but I wonder if there’s a smarter signal to use beyond just “did the last request fail.”

Also happy to discuss the broader pattern of local-first browser extensions for data work — seems like an underexplored space compared to cloud-based scraping pipelines.