TikTok Data Extractor
Pricing
from $2.00 / 1,000 results
TikTok Data Extractor
Extract data about videos, users, and channels based on hashtags or scrape full user profiles including posts, total likes, name, nickname, numbers of comments, shares, followers, following, and more.
4.8 (28)
Pricing
from $2.00 / 1,000 results
596
Total users
29K
Monthly users
2K
Runs succeeded
82%
Issues response
2.5 days
Last modified
17 hours ago
id | text | createDate | webVideoUrl | diggCount | shareCount | playCount | collectCount | commentCount |
|---|---|---|---|---|---|---|---|---|
743***45 | How to ***** scraping series! | 2024-11-10 | https://www.tiktok.com/@***/video/743***45 | 42 | 6 | 3182 | 41 | 3 |
744***21 | This is a must **** #leadgen #automations | 2024-12-17 | https://www.tiktok.com/@***/video/744***21 | 78 | 11 | 2434 | 118 | 0 |
747***58 | You need **** #scaleyourbusiness | 2025-02-19 | https://www.tiktok.com/@***/video/74***58 | 98 | 22 | 3883 | 109 | 1 |
The data above is synthetic and does not reflect real-world values. View full dataset
Batch Scrape feature
Open
Can you suggest how we can improve our performance when scraping >500 videos?
Ideally we would break this into smaller batches of lets say 20 so we can perform our work and return results in an incremental solution.
Sviatozar Petrenko (svpetrenko)
Hi, thanks for asking! If by performance you mean speed, then creating small batches will increase the overhead of starting/finishing the actor, which might take ~10 seconds sometimes. You might go with at least 100 items per batch, as that should be obtained pretty quickly.
Otherwise, if you perform downloads, we're working on an optimization that would make them faster several times, coming in the following weeks
