scrapesmith
Instagram Comments Scraper⚡ Instagram Comments Scraper – Extract comments, usernames, likes, replies & timestamps from any public post or reel. Bulk scraping, no login needed. Export to JSON, CSV or Excel. Starts at $0.50/1,000 results.
Publisher description, verbatimon Instagram, by users in the last 30 days among actors classified to this platform.
best #4 for “instagram comment”
Affordable and fast with ability to grab very large comment sets, but it fails on reliability, sometimes truncates results and is limited to ~100 comments.
| Theme | Sentiment | Said | What they mean |
|---|---|---|---|
| Does it run | 0 praised · 4 complained | 4 | Instagram session cookies are rejectedunreliable; often fails to run“Top scraper, not working atm, but scraped 200k comments a couple weeks back and logged an issue to get it back online, should be a quick fix. It appears the scraper is failing because Instagram is rejecting the current session cookies.” — 5/5 |
| Does it return everything | 1 praised · 1 complained | 2 | can scrape very large comment setssometimes does not return full results |
| Caps and ceilings | 0 praised · 1 complained | 1 | limit of 100 comments per scrape“Is there a reason why only 100 comments are possible at once per post?” — 4/5 |
| What it costs | 2 praised · 0 complained | 2 | affordable and cost-efficient scraping service“Recommend! Affordable and works as expected. Had a small scraping issue at first, but it was resolved quickly.” — 5/5 |
| How fast | 1 praised · 0 complained | 1 | fast scraping performance and throughput“Cost efficient and fast, but for some reason not returning full results. Unsure why after multiple pulls...” — 4/5 |
| Does the publisher answer | 1 praised · 0 complained | 1 | responsive support with quick resolution |
The actors either side of #29 of 1,425, ranked by users in the last 30 days. Same platform, adjacent adoption — the comparable set.
| # | Actor | Grade | Price / 1k | Users /30d | Success | Rating | Age | Fresh | |
|---|---|---|---|---|---|---|---|---|---|
| 24 | B | EVT$0.50 /1k dataset-item | 4182,568 total | 99.9% | 5.0 | 9m | fresh | ||
| 25 | B | RES$2.30 /1kfair price | 4174,492 total | 100.0% | 4.1 | 3.7y | fresh | ||
| 26 | B | EVT$0.50 /1k dataset-item | 4092,385 total | 99.9% | 3.8 | 9m | fresh | ||
| 27 | B | RES$2.50 /1khigh price | 4072,963 total | 99.2% | 4.2 | 9m | aging | ||
| 28 | B | EVT$9.00 /1k user-batch-50 | 4011,381 total | 98.6% | 5.0 | 5m | fresh | ||
| 29 | B | RES$0.50 /1kgood price | 3572,256 total | 99.9% | 4.4 | 11m | fresh | This | |
| 30 | B | RES$1.00 /1kgood price | 3451,378 total | 92.4% | 5.0 | 8m | fresh | ||
| 31 | C | RES$5.00 /1ksteep price | 3302,358 total | 94.7% | 4.3 | 10m | aging | ||
| 32 | B | EVT$3.00 /1k username-request | 3271,748 total | 99.9% | 4.7 | 18m | fresh | ||
| 33 | B | RES$1.10 /1kfair price | 3246,376 total | 99.7% | 5.0 | 16m | fresh | ||
| 34 | B | RES$2.50 /1khigh price | 314919 total | 99.3% | — | 9m | aging |
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