Tiktok Profile Scraper
Pay $2.50 for 1,000 Profiles
Tiktok Profile Scraper
Pay $2.50 for 1,000 Profiles
⚡️ Extract 1000s of TikTok profiles data in minutes! 📈 from a list of usernames or URLs. Get followers count, following count , likes hearts count , bio, video count, and much more data. 💾 Export to JSON, CSV, Excel, XML... 🚀 Automate your TikTok analysis!
You can access the Tiktok Profile Scraper programmatically from your own JavaScript applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6 token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {
11 "urls": [
12 "https://www.tiktok.com/@apifyoffice",
13 "https://www.tiktok.com/@tiktok",
14 "https://www.tiktok.com/@khaby.lame"
15 ],
16 "proxyOptions": {
17 "useApifyProxy": true
18 }
19};
20
21// Run the Actor and wait for it to finish
22const run = await client.actor("karamelo/tiktok-profile-scraper").call(input);
23
24// Fetch and print Actor results from the run's dataset (if any)
25console.log('Results from dataset');
26console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
27const { items } = await client.dataset(run.defaultDatasetId).listItems();
28items.forEach((item) => {
29 console.dir(item);
30});
31
32// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docsTiktok Profile Scraper API in JavaScript
The Apify API client for JavaScript is the official library that allows you to use Tiktok Profile Scraper API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.
Install the apify-client
npm install apify-clientOther API clients include:
karameloActor Metrics
98 monthly users
-
4 stars
>99% runs succeeded
11 hours response time
Created in Sep 2024
Modified 5 days ago
