Twitter Tweets and Profiles Scraper
6 hours trial then $30.00/month - No credit card required now
Twitter Tweets and Profiles Scraper
6 hours trial then $30.00/month - No credit card required now
Easily search and extract tweets from profiles or directly using a URL with our tool. Scrape tweets and replies effortlessly. Download data in formats like JSON, CSV, XML, RSS, or HTML Table, perfect for integration with various applications, databases, and social media analytics tools.
You can access the Twitter Tweets and Profiles 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 "handles": ["elonmusk"],
10 "userQueries": [],
11 "tweetsDesired": 100,
12 "profilesDesired": 10,
13 "proxyConfig": {
14 "useApifyProxy": True,
15 "apifyProxyGroups": ["RESIDENTIAL"],
16 },
17}
18
19# Run the Actor and wait for it to finish
20run = client.actor("web.harvester/twitter-scraper").call(run_input=run_input)
21
22# Fetch and print Actor results from the run's dataset (if there are any)
23print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
24for item in client.dataset(run["defaultDatasetId"]).iterate_items():
25 print(item)
26
27# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startTwitter Tweets and Profiles Scraper API in Python
The Apify API client for Python is the official library that allows you to use Twitter Tweets and Profiles Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Web HarvesterActor Metrics
326 monthly users
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24 stars
>99% runs succeeded
15 hours response time
Created in Jul 2023
Modified a month ago
