Twitter Tweets Scraper
Pay $0.50 for 1,000 results
Twitter Tweets Scraper
Pay $0.50 for 1,000 results
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.
You can access the Twitter Tweets Scraper 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 "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-starttwitter 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-clientOther API clients include:
Monkey CoderActor Metrics
150 monthly users
-
16 stars
98% runs succeeded
7.5 days response time
Created in Mar 2024
Modified 2 days ago
