
Twitter Scraper Cheap
Deprecated
Pricing
$0.20 / 1,000 tweets

Twitter Scraper Cheap
Deprecated
Tweet Scraper Cheap searches tweets at the speed of light (with historical data from 2006) - and parses and converts the data to structured formats: HTML table, JSON, CSV, Excel, and XML.
0.0 (0)
Pricing
$0.20 / 1,000 tweets
1
Monthly users
1
Last modified
a year ago
You can access the Twitter Scraper Cheap 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 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 "searchTerms": ["apify"],
10 "searchMode": "live",
11 "maxTweets": 200,
12 "maxTweetsPerQuery": 200,
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 finish
19run = client.actor("microworlds/twitter-scraper-cheap").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-start
Twitter Scraper Cheap API in Python
The Apify API client for Python is the official library that allows you to use Twitter Scraper Cheap API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-client
Other API clients include:
Pricing
Pricing model
Pay per resultThis Actor is paid per result. You are not charged for the Apify platform usage, but only a fixed price for each dataset of 1,000 items in the Actor outputs.
Price per 1,000 items
$0.20