Social Media Finder
Pay $2.00 for 1,000 Results
Social Media Finder
Pay $2.00 for 1,000 Results
Search for public social media profiles related to given names or nicknames. Find profile handles and URLs across 13 popular social media platforms like TikTok, Twitch, LinkedIn, Medium and more. Export in JSON, CSV, HTML, use API, schedule and monitor runs, integrate scraped data with other tools.
Do you want to learn more about this Actor?
Get a demoYou can access the Social Media Finder 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 "profileNames": ["mr beast"],
10 "socials": [
11 "askfm",
12 "discord",
13 "facebook",
14 "github",
15 "instagram",
16 "linkedin",
17 "medium",
18 "pinterest",
19 "steam",
20 "threads",
21 "tiktok",
22 "twitch",
23 "youtube",
24 ],
25}
26
27# Run the Actor and wait for it to finish
28run = client.actor("tri_angle/social-media-finder").call(run_input=run_input)
29
30# Fetch and print Actor results from the run's dataset (if there are any)
31print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
32for item in client.dataset(run["defaultDatasetId"]).iterate_items():
33 print(item)
34
35# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start📱 Social Media Finder API in Python
The Apify API client for Python is the official library that allows you to use Social Media Finder API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Tri⟁angleActor Metrics
185 monthly users
-
23 stars
>99% runs succeeded
2.8 days response time
Created in Jun 2024
Modified 2 months ago
