Twitter Trends Scraper
Pricing
$0.09 / 1,000 results
Twitter Trends Scraper
Scrape the top trends for each data point spanning 8 time periods from live... to... 3 days about trending tweets and hashtags and topics on Twitter from any of the countries listed below. Including volume of tweets. Only $0.09 per 1000 results.
5.0 (1)
Pricing
$0.09 / 1,000 results
15
Total users
367
Monthly users
100
Runs succeeded
>99%
Last modified
2 months ago
You can access the Twitter Trends 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 = { "proxyOptions": { "useApifyProxy": True } }9
10# Run the Actor and wait for it to finish11run = client.actor("karamelo/twitter-trends-scraper").call(run_input=run_input)12
13# Fetch and print Actor results from the run's dataset (if there are any)14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])15for item in client.dataset(run["defaultDatasetId"]).iterate_items():16 print(item)17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startTwitter Trends Scraper API in Python
The Apify API client for Python is the official library that allows you to use Twitter Trends Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include:
