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Snapchat Profile Scraper

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Pay $2.00 for 1,000 Profiles

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Snapchat Profile Scraper

Snapchat Profile Scraper

karamelo/snapchat-profile-scraper
Try for free

Pay $2.00 for 1,000 Profiles

Extract 1 or 1000s of public Snapchat profiles data, including username, bio, subscriber count, profile picture, and much much more. Scrape Spotlight content to analyze trends and understand user engagement. Works with public, private, and any type of accounts.

You can access the Snapchat Profile 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    "userName": [
10        "shawnmendes1",
11        "https://snapchat.com/add/selenagomez",
12        "loganpaul",
13        "snapchat.com/add/taylorswift",
14    ],
15    "proxyOptions": { "useApifyProxy": False },
16}
17
18# Run the Actor and wait for it to finish
19run = client.actor("karamelo/snapchat-profile-scraper").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

Snapchat Profile Scraper API in Python

The Apify API client for Python is the official library that allows you to use Snapchat Profile Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

pip install apify-client

Other API clients include:

Developer
Maintained by Community
Actor metrics
  • 34 monthly users
  • 2 stars
  • 100.0% runs succeeded
  • Created in Aug 2024
  • Modified 2 months ago