Pricing

from $0.25 / 1,000 results

Twitter Timeline [Legacy]

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.

Pricing

from $0.25 / 1,000 results

Rating

5.0

(2)

Developer

Jan Danecki

Actor stats

Bookmarked

489

Total users

Monthly active users

22 days ago

Last modified

Categories

Lead generation

Social media

You can access the Twitter Timeline [Legacy] 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 API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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": "unusual_whales",
10    "max_posts": 5,
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(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
18for item in client.dataset(run.default_dataset_id).iterate_items():
19    print(item)
20
21# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Twitter Timeline [Legacy] API in Python

The Apify API client for Python is the official library that allows you to use Twitter Timeline [Legacy] API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Twitter Timeline [Legacy] API in JavaScript

Twitter Timeline [Legacy] API through CLI

Twitter Timeline [Legacy] OpenAPI definition

Twitter Timeline [Legacy] API

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