Pricing
from $0.40 / 1,000 tweets
⚡️ Lightning-fast search, URL, list, and profile scraping, with customizable filters. At $0.40 per 1000 tweets, and 30-80 tweets per second, it is ideal for researchers, entrepreneurs, and businesses! Get comprehensive insights from Twitter (X) now!
3.0 (94)
Pricing
from $0.40 / 1,000 tweets
865
22K
2.5K
Issues response
5.5 hours
Last modified
9 hours ago
You can access the 🏯 Tweet Scraper V2 - X / 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 "startUrls": [10 "https://twitter.com/apify",11 "https://twitter.com/search?q=apify%20&src=typed_query",12 "https://twitter.com/i/lists/78783491",13 "https://twitter.com/elonmusk/with_replies",14 ],15 "searchTerms": [16 "web scraping",17 "scraping from:apify",18 ],19 "twitterHandles": [20 "elonmusk",21 "taylorswift13",22 ],23 "conversationIds": [24 "1754067365707563045",25 "1732037140111102460",26 ],27 "maxItems": 1000,28 "sort": "Latest",29 "tweetLanguage": "en",30 "author": "apify",31 "inReplyTo": "webexpo",32 "mentioning": "elonmusk",33 "geotaggedNear": "Los Angeles",34 "withinRadius": "15km",35 "geocode": "37.7764685,-122.4172004,10km",36 "placeObjectId": "96683cc9126741d1",37 "minimumRetweets": 5,38 "minimumFavorites": 5,39 "minimumReplies": 5,40 "start": "2021-07-01",41 "end": "2021-07-02",42 "customMapFunction": "(object) => { return {...object} }",43}44
45# Run the Actor and wait for it to finish46run = client.actor("apidojo/tweet-scraper").call(run_input=run_input)47
48# Fetch and print Actor results from the run's dataset (if there are any)49print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])50for item in client.dataset(run["defaultDatasetId"]).iterate_items():51 print(item)52
53# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use 🏯 Tweet Scraper V2 - X / Twitter Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: