Twitter Scraper
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Pay $1.50 for 1,000 tweets
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Twitter Scraper
microworlds/twitter-scraper
Try for free
Pay $1.50 for 1,000 tweets
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.
The code examples below show how to run the Actor and get its results. To run the code, you need to have an Apify account. Replace <YOUR_API_TOKEN> in the code with your API token, which you can find under Settings > Integrations in Apify Console. Learn more
1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4client = ApifyClient("<YOUR_API_TOKEN>")
5
6# Prepare the Actor input
7run_input = {
8 "searchTerms": ["apify"],
9 "searchMode": "live",
10 "maxTweets": 1000,
11 "maxTweetsPerQuery": 1000,
12 "maxRequestRetries": 6,
13 "handle": ["@cnn"],
14 "urls": ["https://twitter.com/search?q=gpt&src=typed_query&f=live"],
15}
16
17# Run the Actor and wait for it to finish
18run = client.actor("microworlds/twitter-scraper").call(run_input=run_input)
19
20# Fetch and print Actor results from the run's dataset (if there are any)
21print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
22for item in client.dataset(run["defaultDatasetId"]).iterate_items():
23 print(item)
24
25# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startDeveloper
Caleb DavidMaintained by Community
Actor metrics
- 795 monthly users
- 39 stars
- 99.1% runs succeeded
- 1.4 days response time
- Created in Jul 2023
- Modified 2 days ago
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