Twitter Profile Search Scraper
Pay $3.50 for 1,000 results
Twitter Profile Search Scraper
Pay $3.50 for 1,000 results
Paste a search term and extract Twitter usernames, profile photos, follower count, favorite count, latest tweet, and more. Export scraped datasets, run the scraper via API, schedule and monitor runs, or integrate with other tools.
Do you want to learn more about this Actor?
Get a demoYou can access the Twitter Profile Search Scraper 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 "searchTerms": ["Apify"],
10 "tweetsDesired": 100,
11 "profilesDesired": 100,
12}
13
14# Run the Actor and wait for it to finish
15run = client.actor("quacker/twitter-profile-search").call(run_input=run_input)
16
17# Fetch and print Actor results from the run's dataset (if there are any)
18print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
19for item in client.dataset(run["defaultDatasetId"]).iterate_items():
20 print(item)
21
22# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start🧚♀️ Twitter Profile Search Scraper API in Python
The Apify API client for Python is the official library that allows you to use Twitter Profile Search Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
QuackerActor Metrics
52 monthly users
-
8 stars
>99% runs succeeded
5.5 days response time
Created in May 2024
Modified 3 months ago
