Twitter Scraper
This Actor is unavailable because the developer has decided to deprecate it. Would you like to try a similar Actor instead?
See alternative ActorsTwitter Scraper
Twitter Scraper searches and extracts data from Twitter (with historic data from 2006) - parses and converts the data to structured formats: HTML table, JSON, CSV, Excel and XML.
You can access the Twitter 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 "searchTerms": ["apify"],
10 "searchMode": "live",
11 "maxTweets": 1000,
12 "maxTweetsPerQuery": 1000,
13 "maxRequestRetries": 6,
14 "handle": ["@cnn"],
15 "urls": ["https://twitter.com/search?q=gpt&src=typed_query&f=live"],
16}
17
18# Run the Actor and wait for it to finish
19run = client.actor("microworlds/twitter-scraper").call(run_input=run_input)
20
21# Fetch and print Actor results from the run's dataset (if there are any)
22print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
23for item in client.dataset(run["defaultDatasetId"]).iterate_items():
24 print(item)
25
26# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startTwitter Scraper API in Python
The Apify API client for Python is the official library that allows you to use Twitter Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Caleb David
