# Github Profile Scraper (`saswave/github-profile-scraper`) Actor

GitHub User Profile Scraper. Extracts data from GitHub profiles, including followers, following, LinkedIn, Twitter, achievements and much more. Ideal for developers, researchers, and marketers. From a list of Github profile or a repository stargazers link

- **URL**: https://apify.com/saswave/github-profile-scraper.md
- **Developed by:** [SASWAVE](https://apify.com/saswave) (community)
- **Categories:** Automation, Lead generation
- **Features:** Limited permissions
- **Stats:** 288 total users, 14 monthly users, 96.8% runs succeeded, 12 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.90 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## GitHub Profile Scraper

Extract public data from GitHub user profiles and repository stargazers at scale.

Powerful data collection for developers, researchers, recruiters, and marketers.

This actor scrapes detailed GitHub profile information including social links, achievements, activity stats, organizations, pinned repositories, and bio data.

### 🚀 Features

### 🔎 GitHub Profile Scraping

Scrape any public GitHub profile and collect:

Username

Full name

Bio description

Location

Website(s)

Email (if public)

GitHub achievements

Followers & following

Contribution statistics

Sponsorship history

Pinned repositories

README profile content

Highlight badges

First commit year

### ⭐ Repository Stargazers Extraction

Pass a GitHub repository URL and automatically extract all stargazer profiles.

Use this for:

Identifying project supporters

Competitor audience analysis

Developer lead generation

Influencer discovery

Community building

### 🔗 Social Profiles Detection

Automatically extracts external profiles if available:

LinkedIn

X (Twitter)

Personal website or blog

### ⚡ Built for Automation

Supports:

Batch processing

Apify schedules

Webhook deliveries

Integration-ready JSON output

### How to extract cookies from your browser

- install EditThisCookie chrome extension
- login to your account and go to your linkedin feed page
- Use the extension and click "export"
- Paste the cookies in the input "cookies" from the actor

The apify documentation has a tutorial on how to do it with screenshots, https://docs.apify.com/tutorials/log-in-by-transferring-cookies#export-your-cookies go to the export your cookies section

### WHY PROVIDE COOKIE

Some profile have private email, only visible when logged in

Providing cookie session will help you extract more contact informations

### Outputs

```json
{
  "user": "https://github.com/rasbt",
  "name": "Sebastian Raschka",
  "username": "rasbt",
  "followers": "19.9k",
  "following": "39",
  "bio": "Machine Learning and AI researcher & currently research engineer at a startup",
  "location": "Madison, WI",
  "emails": [],
  "organization": "@Lightning-AI",
  "websites": [
    "https://magazine.sebastianraschka.com"
  ],
  "other_socials":[],
  "achievements": [
    "Mars 2020 Contributor",
    "Public Sponsor",
    "YOLO",
    "Starstruck",
    "Pull Shark",
    "Pair Extraordinaire",
    "Galaxy Brain",
    "Arctic Code Vault Contributor",
    "Quickdraw"
  ],
  "sponsoring": [],
  "last_year_contribution_number": "1444",
  "X": "https://twitter.com/rasbt",
  "LinkedIn": "https://www.linkedin.com/in/sebastianraschka/",
  "highlights": [
    "Pro"
  ],
  "organization_followed": [
    "https://github.com/conda-forge",
    "https://github.com/psa-lab",
    "https://github.com/iPRoBe-lab",
    "https://github.com/Raschka-research-group",
    "https://github.com/BioPandas"
  ],
  "first_year_commit": "2013",
  "pinned_repos": [
    {
      "name": "LLMs-from-scratch",
      "url": "https://github.com/rasbt/LLMs-from-scratch",
      "description": "Implementing a ChatGPT-like LLM from scratch, step by step",
      "languages": [
        "Jupyter Notebook"
      ],
      "stars": "11.3k",
      "forks": "904"
    }
  ],
  "readme": [
    "Hi there, I am Sebastian 👋",
    "and I am a machine learning and AI researcher with a strong passion for education!",
    "⚡️ As Staff Research Engineer at",
    "Lightning AI",
    ", I am working on the intersection of AI research, software development, and large language models (LLMs).",
    "🎓 Previously, I was an Assistant Professor of Statistics at the",
    "University of Wisconsin-Madison",
    "(tenure track 2018-2025) until 2022, focusing on deep learning and machine learning research.",
    "🎮 But most of all, I am a passionate coder who loves open-source software!",
    "📖 I also love writing and authored several books!",
    "(Links and more info",
    "here",
    ".)",
    "If you are interested in more details, check out",
    "my website",
    "!",
    "Socials",
    "I am also more active on social platforms than I should be!",
    "📝 Substack Blog",
    "Ahead of AI",
    "👨‍💻 Twitter",
    "(@rasbt)",
    "🖇️ LinkedIn",
    "in/sebastianraschka"
  ]
}
```

### 🎯 Use Cases

Ideal for:

Developer recruitment

Lead intelligence

Marketing segmentation

Open-source intelligence (OSINT)

Community analytics

Influencer research

Startup scouting

Sales automation

### ✅ Benefits

✅ No GitHub API key required
✅ No login needed
✅ Works on public profiles
✅ Automation ready
✅ High data completeness
✅ Easy to scale

### 🛟 SUPPORT

Share your runs with the developer team and create issues on error to help us improve actor quality.

You might discover edge case we didn't test yet

We stay available anytime

# Actor input Schema

## `repo_link` (type: `string`):

Used to scrape profile who left a star (stargazers)

## `peoples_links` (type: `array`):

used to scrape profile from the list

## `cookies` (type: `array`):

Check readme on how to extract cookies from browser and paste as input

## Actor input object example

```json
{
  "repo_link": "",
  "peoples_links": [
    "https://github.com/rasbt"
  ]
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "repo_link": "",
    "peoples_links": [
        "https://github.com/rasbt"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("saswave/github-profile-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "repo_link": "",
    "peoples_links": ["https://github.com/rasbt"],
}

# Run the Actor and wait for it to finish
run = client.actor("saswave/github-profile-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "repo_link": "",
  "peoples_links": [
    "https://github.com/rasbt"
  ]
}' |
apify call saswave/github-profile-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,saswave/github-profile-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/XiZTm8w05bW4YKawz/builds/LR3gxxdZ0fE7VevfU/openapi.json