Pay $0.30 for 1,000 tweets

🏯 Tweet Scraper V2 (Pay Per Result) - X / Twitter Scraper

apidojo/tweet-scraper

Pay $0.30 for 1,000 tweets

⚡️ Lightning-fast search, URL, list, and profile scraping, with customizable filters. At $0.30 per 1000 tweets, and 30-80 tweets per second, it is ideal for researchers, entrepreneurs, and businesses! Get comprehensive insights from Twitter (X) now!

API clients

API endpoints

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

Node.js

Python

curl

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    "startUrls": [
9        "https://twitter.com/apify/status/1727706472623091883",
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 finish
46run = 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-start