Twitter Timeline Scraper
Pricing
$4.99 / 1,000 results
Twitter Timeline Scraper
Extract tweets from any public Twitter user's timeline with full metadata, supporting auto-pagination and custom result limits.
5.0 (1)
Pricing
$4.99 / 1,000 results
1
Total users
8
Monthly users
8
Runs succeeded
91%
Issues response
5.7 hours
Last modified
a month ago
You can access the Twitter Timeline Scraper programmatically from your own 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 ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {}9
10# Run the Actor and wait for it to finish11run = client.actor("powerai/twitter-timeline-scraper").call(run_input=run_input)12
13# Fetch and print Actor results from the run's dataset (if there are any)14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])15for item in client.dataset(run["defaultDatasetId"]).iterate_items():16 print(item)17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startTwitter Timeline Scraper API in Python
The Apify API client for Python is the official library that allows you to use Twitter Timeline Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include:
