Twitter (X) Profiles and Tweets Scraper
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Twitter (X) Profiles and Tweets Scraper
2 hours trial then $10.00/month - No credit card required now
This actor allows you to scrape Twitter/X profiles, extract tweets, key metrics, metadata and gather insights such as tweet content, engagement metrics (likes, retweets, replies), and author details. It is handy for social media analysis, marketing research, and tracking public figures or brands.
You can access the Twitter (X) Profiles and 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 "startUrls": ["elonmusk"],
10 "proxy": {
11 "useApifyProxy": True,
12 "apifyProxyGroups": ["RESIDENTIAL"],
13 },
14}
15
16# Run the Actor and wait for it to finish
17run = client.actor("memo23/apify-twitter-profile-scraper").call(run_input=run_input)
18
19# Fetch and print Actor results from the run's dataset (if there are any)
20print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
21for item in client.dataset(run["defaultDatasetId"]).iterate_items():
22 print(item)
23
24# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startTwitter (X) Profiles and Tweets Scraper API in Python
The Apify API client for Python is the official library that allows you to use Twitter (X) Profiles and Tweets Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Muhamed DidovicActor Metrics
69 monthly users
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1 star
97% runs succeeded
Created in Oct 2024
Modified 18 days ago
