🏯 Tiktok Profile Scraper (Pay Per Result)
Pay $0.30 for 1,000 posts
🏯 Tiktok Profile Scraper (Pay Per Result)
Pay $0.30 for 1,000 posts
Looking for Lead Generation? Intelligence over any TikTok user, or just keep track of any person? The TikTok Profile Scraper is ready for your consumption. This actor is known as the most customized yet stable and effective solution for extracting Profile data from TikTok.com.
You can access the 🏯 Tiktok Profile Scraper (Pay Per Result) programmatically from your own Python applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll 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 = {
9 "startUrls": [
10 "https://www.tiktok.com/@gordonramsayofficial",
11 "https://www.tiktok.com/@billieeilish",
12 ],
13 "usernames": [
14 "nike",
15 "selenagomez",
16 ],
17 "maxItems": 1000,
18 "customMapFunction": "(object) => { return {...object} }",
19}
20
21# Run the Actor and wait for it to finish
22run = client.actor("apidojo/tiktok-profile-scraper").call(run_input=run_input)
23
24# Fetch and print Actor results from the run's dataset (if there are any)
25print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
26for item in client.dataset(run["defaultDatasetId"]).iterate_items():
27 print(item)
28
29# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start🏯 Tiktok Profile Scraper (Pay Per Result) API in Python
The Apify API client for Python is the official library that allows you to use 🏯 Tiktok Profile Scraper (Pay Per Result) API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
API DojoActor Metrics
50 monthly users
-
9 stars
94% runs succeeded
13 hours response time
Created in Dec 2023
Modified a day ago
