Twitter Timeline Pay Per Result avatar

Twitter Timeline Pay Per Result

Try for free

Pay $0.30 for 1,000 posts

View all Actors
Twitter Timeline Pay Per Result

Twitter Timeline Pay Per Result

danek/twitter-timeline-ppr
Try for free

Pay $0.30 for 1,000 posts

Scrap Twitter timeline fast and easy. It is designed to be fast and efficient, so it can extract a large number of post for low price.

You can access the Twitter Timeline Pay Per Result 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    "username": "elonmusk",
12    "max_posts": 100
13};
14
15// Run the Actor and wait for it to finish
16const run = await client.actor("danek/twitter-timeline-ppr").call(input);
17
18// Fetch and print Actor results from the run's dataset (if any)
19console.log('Results from dataset');
20console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
21const { items } = await client.dataset(run.defaultDatasetId).listItems();
22items.forEach((item) => {
23    console.dir(item);
24});
25
26// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

Twitter Timeline Pay Per Result API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use Twitter Timeline Pay Per Result API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.

Install the apify-client

npm install apify-client

Other API clients include:

Developer
Maintained by Community
Actor metrics
  • 5 monthly users
  • 1 star
  • 100.0% runs succeeded
  • 4.7 hours response time
  • Created in Mar 2024
  • Modified about 1 month ago