Benchmarks · Threads
The Threads scrapers people use most, measured on the same requests
We ran the same requests through Threads Scraper and through the most used Threads scrapers on the Apify Store, then checked what came back against the source. Measured on October 4 to 6, 2026. Alternatives = the most used scrapers for the same platform on the Apify Store, ranked by monthly users (Apify public statistics). Scrapers change: these are the results on that date, and we keep the raw runs.
Open Threads Scraper on ApifyPosts and search results cost $2.50 per 1,000 on the Free and Starter plans ($2.00 on Scale, $1.75 on Business and above), view counts included, plus $0.005 per run.
What came back
| Test | Quarra | Alternatives |
|---|---|---|
| 20 posts from @zuck, repeat runSame night, October 5. | 9.4 to 10.7 s | 14 and 19 s |
| Same 20 posts, first run on a new Apify accountMeasured October 6. Not run on the alternatives. | 9.1 to 11.7 s | — |
| One profile (@mosseri), checked against the public pageOctober 4 and 5. The 3.4 s one returned Instagram data; the other found the account through a search that returned 9 accounts. | 5.3 s, exact | 3.4 s and 14 to 21 s |
| Likes, replies, reposts, quotes, shares, views and date on 3 posts, checked against the public page a minute laterTheir run was 10 minutes earlier; two counts had moved since. | 21 of 21 values | 3 of 3 posts, at their run time |
| Carousel of 9 media | 9 URLs, the 9 on the page | 11 URLs |
| Replies of a post with 2,502 announced, in the same scraperThe same developer sells replies as a separate scraper. | 1,805 in 87 s | not offered |
Where we are not ahead
- Spreadsheet columns: the most used alternative returns 99 flat columns per post. Ours returns fewer top-level fields, with the author, media, polls and quoted posts as nested objects.
How to export all posts of a Threads account, with view countsThreads API keyword search: limits, permissions and alternativesAll benchmarks and how we measure