Pay $0.20 for 1,000 tweets

Twitter Scraper Lite - Cheapest and Fastest - Pay Per Result

apidojo/twitter-scraper-lite

Pay $0.20 for 1,000 tweets

Twitter Scraper searches and extracts data from Twitter (with historic data from 2006) - parses and converts the data to structured formats: HTML table, JSON, CSV, Excel, and XML. Super cheap Twitter API for $0.20/1000 tweets. Easy usage, customizable. Perfect for integration for products!

API clients

API endpoints

The code examples below show how to run the Actor and get its results. To run the code, you need to have an Apify account. Replace <YOUR_API_TOKEN> in the code with your API token, which you can find under Settings > Integrations in Apify Console. Learn more

Node.js

Python

curl

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4client = ApifyClient("<YOUR_API_TOKEN>")
5
6# Prepare the Actor input
7run_input = {
8    "searchTerms": ["apify"],
9    "sort": "Latest",
10    "maxItems": 1000,
11    "twitterHandles": [
12        "elonmusk",
13        "cnn",
14    ],
15    "startUrls": ["https://twitter.com/search?q=gpt&src=typed_query&f=live"],
16}
17
18# Run the Actor and wait for it to finish
19run = client.actor("apidojo/twitter-scraper-lite").call(run_input=run_input)
20
21# Fetch and print Actor results from the run's dataset (if there are any)
22print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
23for item in client.dataset(run["defaultDatasetId"]).iterate_items():
24    print(item)
25
26# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start