Tweet Scraper|$0.25/1K Tweets | Pay-Per Result | No Rate Limits
Pay $0.25 for 1,000 Tweets
Tweet Scraper|$0.25/1K Tweets | Pay-Per Result | No Rate Limits
Pay $0.25 for 1,000 Tweets
Only $0.25/1000 tweets for Twitter scraping, 100% reliability, swift data retrieval.This incredible low price is almost too good to be true.Thanks to our large-scale operations and efficient servers, we can offer you rock-bottom prices that no competitors can match. Don't miss this opportunity !
You can access the Tweet Scraper|$0.25/1K Tweets | Pay-Per Result | No Rate Limits 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 "tweetIDs": [1846987139428635000],
10 "twitterContent": "make -\"live laugh love\"",
11 "searchTerms": [
12 "from:elonmusk since:2024-01-01_00:00:00_UTC until:2024-01-02_00:00:00_UTC",
13 "from:NASA starsince:2024-01-01_00:00:00_UTC until:2024-01-02_00:00:00_UTC",
14 ],
15 "lang": "en",
16 "from": "elonmusk",
17 "to": "",
18 "@": "",
19 "list": "",
20 "near": "",
21 "within": "",
22 "geocode": "",
23 "since": "2021-12-31_23:59:59_UTC",
24 "until": "2024-12-31_23:59:59_UTC",
25 "since_time": "",
26 "until_time": "",
27 "since_id": "",
28 "max_id": "",
29 "within_time": "",
30 "conversation_id": "",
31 "quoted_tweet_id": "",
32 "quoted_user_id": "",
33 "card_name": "",
34 "url": "",
35}
36
37# Run the Actor and wait for it to finish
38run = client.actor("kaitoeasyapi/twitter-x-data-tweet-scraper-pay-per-result-cheapest").call(run_input=run_input)
39
40# Fetch and print Actor results from the run's dataset (if there are any)
41print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
42for item in client.dataset(run["defaultDatasetId"]).iterate_items():
43 print(item)
44
45# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startCheapest Twitter Scraper | $0.25 per 1000 Tweets API in Python
The Apify API client for Python is the official library that allows you to use Tweet Scraper|$0.25/1K Tweets | Pay-Per Result | No Rate Limits API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Kaito Easy APIActor Metrics
254 monthly users
-
50 stars
>99% runs succeeded
5.8 hours response time
Created in Oct 2024
Modified a day ago
