Twitter Trends Scraper United States
Pricing
$0.10 / 1,000 results
Twitter Trends Scraper United States
Scrape Twitter trends from United States locations including the 50 states and other notable locations. This actor scrapes in addition the worldwide and united states country trends for 8 periods of time. The US states and other US locations have the Live trends only available.
0.0 (0)
Pricing
$0.10 / 1,000 results
2
Monthly users
5
Runs succeeded
>99%
Response time
1.9 hours
Last modified
5 months ago
You can access the Twitter Trends Scraper United States 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 = { "proxyOptions": { "useApifyProxy": True } }
9
10# Run the Actor and wait for it to finish
11run = client.actor("karamelo/twitter-trends-scraper-united-states").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 United States API in Python
The Apify API client for Python is the official library that allows you to use Twitter Trends Scraper United States API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther 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
$0.10
