![Github Users Scraper avatar](https://images.apifyusercontent.com/Uv_33BCVM9PkowmB35u2nY27elNVc5CngBjsRlXETuI/rs:fill:92:92/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS9qQkdtMjdEQUkwVkU1RDZyMS9pdEpBZXZLdDJZN0VXQmFlcC1PY3RvY2F0LnBuZw.webp)
Github Users Scraper
Try for free
3 days trial then $50.00/month - No credit card required now
View all Actors![Github Users Scraper](https://images.apifyusercontent.com/Uv_33BCVM9PkowmB35u2nY27elNVc5CngBjsRlXETuI/rs:fill:92:92/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS9qQkdtMjdEQUkwVkU1RDZyMS9pdEpBZXZLdDJZN0VXQmFlcC1PY3RvY2F0LnBuZw.webp)
![Github Users Scraper](https://images.apifyusercontent.com/Uv_33BCVM9PkowmB35u2nY27elNVc5CngBjsRlXETuI/rs:fill:92:92/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS9qQkdtMjdEQUkwVkU1RDZyMS9pdEpBZXZLdDJZN0VXQmFlcC1PY3RvY2F0LnBuZw.webp)
Github Users Scraper
dtrungtin/github-users-scraper
Try for free
3 days trial then $50.00/month - No credit card required now
Github Users Scraper is an Apify actor for extracting users or emails from Github. It allows you to extract all watchers, stargazers, and members from a repository page.
The code examples below show how to run the Actor and get its results. To run the code, you need to have an Apify account. Replace <YOUR_API_TOKEN> in the code with your API token, which you can find under Settings > Integrations in Apify Console. Learn more
1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4client = ApifyClient("<YOUR_API_TOKEN>")
5
6# Prepare the Actor input
7run_input = {
8 "startUrls": [{ "url": "https://github.com/dtrungtin/actor-allrecipes-scraper" }],
9 "proxyConfig": { "useApifyProxy": True },
10}
11
12# Run the Actor and wait for it to finish
13run = client.actor("dtrungtin/github-users-scraper").call(run_input=run_input)
14
15# Fetch and print Actor results from the run's dataset (if there are any)
16print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
17for item in client.dataset(run["defaultDatasetId"]).iterate_items():
18 print(item)
19
20# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
Developer
Maintained by Community
Actor metrics
- 8 monthly users
- 2 stars
- 100.0% runs succeeded
- Created in Jun 2020
- Modified 10 months ago
Categories