Twitter Scraper
Deprecated
Pricing
$1.50 / 1,000 tweets
Twitter Scraper
Deprecated
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.
5.0 (1)
Pricing
$1.50 / 1,000 tweets
61
Total users
13.2k
Monthly users
39
Runs succeeded
>99%
Last modified
8 months ago
You can access the Twitter Scraper programmatically from your own 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 ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_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 finish19run = 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:
