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Twitter Tweets Scraper

Pricing

$0.50 / 1,000 results

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Twitter Tweets Scraper

Twitter Tweets Scraper

Developed by

Monkey Coder

Monkey Coder

Maintained by Community

Enter the Twitter URL to quickly collect the latest tweet data. Based on the Twitter search interface, with countless quantity and time constraints, the tweet results are sorted in reverse chronological order.

3.3 (2)

Pricing

$0.50 / 1,000 results

52

Total users

1.5k

Monthly users

233

Runs succeeded

79%

Issue response

1.2 days

Last modified

a day ago

You can access the Twitter Tweets 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 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 "start_urls": [{ "url": "https://twitter.com/peckshield" }],
10 "since_date": "2024-03-05",
11 "result_count": "10",
12}
13
14# Run the Actor and wait for it to finish
15run = client.actor("gentle_cloud/twitter-tweets-scraper").call(run_input=run_input)
16
17# Fetch and print Actor results from the run's dataset (if there are any)
18print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
19for item in client.dataset(run["defaultDatasetId"]).iterate_items():
20 print(item)
21
22# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

twitter scraper、tweet scraper、twitter data scraping API in Python

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

Install the apify-client

$pip install apify-client

Other API clients include: