TikTok Live Scraper
Pricing
Pay per event
TikTok Live Scraper
Extract data from TikTok live sessions such as owner ID, profile URL, bio and followers, number of live session guests, viewers, hashtags, or time stamps. Export scraped data, run the scraper via API, schedule and monitor runs or integrate with other tools.
4.6 (5)
Pricing
Pay per event
1
Monthly users
10
Runs succeeded
98%
Last modified
a day ago
You can access the TikTok Live Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, youāll need an Apify account and your API token, found in Integrations settings in Apify Console.
1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = { "categoryLiveUrls": ["https://www.tiktok.com/live/category/lifestyle/chatting"] }
9
10# Run the Actor and wait for it to finish
11run = client.actor("clockworks/tiktok-live-scraper").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("š¾ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16 print(item)
17
18# š Want to learn more š? Go to ā https://docs.apify.com/api/client/python/docs/quick-startšµ TikTok Live Scraper API in Python
The Apify API client for Python is the official library that allows you to use TikTok Live Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Pricing
Pricing model
Pay per eventĀThis Actor isĀ 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.
Actor start
$0.030
Flat charge for starting an Actor run.
Dataset item
$0.003
Each item written to the dataset.
