Twitter Timeline
3 days trial then $39.99/month - No credit card required now
Twitter Timeline
3 days trial then $39.99/month - No credit card required now
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 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 "username": "elonmusk",
10 "max_posts": 100,
11}
12
13# Run the Actor and wait for it to finish
14run = client.actor("danek/twitter-timeline").call(run_input=run_input)
15
16# Fetch and print Actor results from the run's dataset (if there are any)
17print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
18for item in client.dataset(run["defaultDatasetId"]).iterate_items():
19 print(item)
20
21# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startTwitter Timeline API in Python
The Apify API client for Python is the official library that allows you to use Twitter Timeline API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Jan DaneckiActor Metrics
32 monthly users
-
4 stars
>99% runs succeeded
Created in Mar 2024
Modified 17 days ago
