🏯 Twitter (X) List Scraper (Pay Per Result) avatar

🏯 Twitter (X) List Scraper (Pay Per Result)

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Pay $0.40 for 1,000 tweets

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🏯 Twitter (X) List Scraper (Pay Per Result)

🏯 Twitter (X) List Scraper (Pay Per Result)

apidojo/twitter-list-scraper
Try for free

Pay $0.40 for 1,000 tweets

Discover the Twitter (X) List Scraper you've been looking for! Find the ultimate tool for extracting Tweets List from X / Twitter! It offers unparalleled speed and comprehensiveness, ensuring lightning-fast extraction of Tweets.

You can access the 🏯 Twitter (X) List Scraper (Pay Per Result) 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    "startUrls": ["https://twitter.com/i/lists/78783491"],
10    "listIds": [
11        "1657850814910590977",
12        "1199504381886050304",
13    ],
14    "maxItems": 1000,
15    "customMapFunction": "(object) => { return {...object} }",
16}
17
18# Run the Actor and wait for it to finish
19run = client.actor("apidojo/twitter-list-scraper").call(run_input=run_input)
20
21# Fetch and print Actor results from the run's dataset (if there are any)
22print("πŸ’Ύ 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# πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start

🏯 Twitter (X) List Scraper (Pay Per Result) API in Python

The Apify API client for Python is the official library that allows you to use 🏯 Twitter (X) List Scraper (Pay Per Result) API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

pip install apify-client

Other API clients include:

Developer
Maintained by Community

Actor Metrics

  • 22 monthly users

  • 6 stars

  • 49% runs succeeded

  • Created in Nov 2023

  • Modified 6 hours ago