TikTok Data Extractor
Pricing
$4.00 / 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 (27)
Pricing
$4.00 / 1,000 results
492
Monthly users
2.9k
Runs succeeded
>99%
Response time
2.4 days
Last modified
a day ago
Popularity Metrics Used in TikTok Data Selection
Closed
I am currently reviewing the dataset and had a question regarding how "popular" videos were defined and selected. Specifically, I noticed that when I scraped the most popular 30 videos from several TikTok accounts, the play count, share count, and comment count were not strictly sorted in descending order.
Could you clarify which parameter(s) were used to determine the "most popular" videos ? Was it based on a single metric (e.g., play count), a weighted combination of multiple engagement metrics, or another method?
Thank you for your time and insights—I appreciate your clarification!
Best regards,
Hello! This is a valid question but, unfortunately, we are only partially responsible for this. Basically we scrape what TikTok API gives us. We are not in control of how TikTok decides which videos are sorted in the "popular" tab.
We try to scrape them in the order of they are presented and we usually are able to but there can be a very rare occasion where a batch of data is faster, making some scraped videos out of the "correct" position, but I would say is a rare occurrence and the displacement will not be disruptive of data (meaning if and when this happen you will not get crazy result like the last video in the list to be on top of your collected data).
Hope this helps. I'll close this issue but feel free to reopen it if you have any other question!
Pricing
Pricing model
Pay per resultThis Actor is paid per result. You are not charged for the Apify platform usage, but only a fixed price for each dataset of 1,000 items in the Actor outputs.
Price per 1,000 items
$4.00
