# GitHub repositories Scraper - Low-costπ²π₯π¦π (`delectable_incubator/github-repositories-scraper-low-cost`) Actor
Scrape GitHub repositories π¦π with a powerful developer data scraper. Extract repository names, descriptions, programming languages, stars, topics, forks, and repository URLs from any GitHub profile. Ideal for open-source analysis, developer scouting, technology research and market insights ππ
- **URL**: https://apify.com/delectable\_incubator/github-repositories-scraper-low-cost.md
- **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community)
- **Categories:** Developer tools, Lead generation, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $0.00005 / actor start
This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
Actors are written with capital "A".
## 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.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
---
## GitHub Repositories Scraper | Bulk GitHub Repo Scraper | Apify Actor π¦π
### π Extract GitHub Repository Data in Seconds (No Code)
The **GitHub Repositories Scraper (Apify Actor)** is a powerful, scalable, and SEO-optimized repository extraction tool designed to collect structured repository data from public GitHub profiles.
Whether you're conducting **open-source intelligence (OSINT)**, **developer ecosystem analysis**, **technical market research**, **AI dataset creation**, **lead generation**, or **technology trend monitoring**, this scraper enables you to extract GitHub repositories in bulk with clean and structured output.
---
### π₯ Why This GitHub Repository Scraper?
β Best GitHub repositories scraper on Apify
β Supports bulk GitHub profiles scraping
β Accepts usernames or profile URLs
β Extract public repositories automatically
β Fast and scalable extraction engine
β Structured JSON / CSV / Excel exports
β Perfect for developers, recruiters, researchers & startups
β No coding required
---
### π― What This Scraper Does
This Apify Actor extracts public repositories from GitHub user profiles.
#### π Core Features
β
Scrape GitHub repositories from usernames
β
Scrape GitHub repositories from profile URLs
β
Bulk profile scraping support
β
Auto-pagination handling
β
Automatic profile processing
β
Repository metadata extraction
β
Language & technology analysis
β
Repository popularity tracking
β
Structured export-ready datasets
---
### β‘ Input Configuration (Bulk Profiles Mode)
#### π₯ BULK URLS / USERNAMES MODE
````
{
"profileUrls": \[
"https://github.com/pirate",
"@torvalds",
"gvanrossum",
"tj",
"sindresorhus"
],
"maxItemsPerProfile": 100
}
```
---
### π Extracted Repository Data
| Field | Description |
| --------------- | ---------------------------- |
| repoName | Repository name |
| ownerUsername | Repository owner username |
| ownerProfileUrl | GitHub profile URL |
| description | Repository description |
| language | Primary programming language |
| languageColor | GitHub language color |
| stars | Repository stars count |
| forks | Repository forks count |
| topics | Repository topics / tags |
| visibility | Repository visibility |
| updatedAt | Last update date |
| repoUrl | Direct repository URL |
---
### π‘ Popular Use Cases
This GitHub scraper is ideal for:
π§ Open-source intelligence (OSINT)
π Developer ecosystem analysis
π Technology trend monitoring
π€ AI training datasets
π¨βπ» Developer research
π― Lead generation
π’ Startup intelligence
π Competitor analysis
π‘ Repository monitoring
β‘ Bulk GitHub data extraction
---
### π Key Features
β‘ Bulk GitHub profile scraping
π¦ Repository metadata extraction
β Stars & forks collection
π·οΈ Topics & tags extraction
π» Programming language detection
π
Repository update tracking
π Auto-pagination support
πΎ Export-ready structured datasets
βοΈ Fully cloud-based execution
---
### π€ Output Formats Supported
β JSON
β CSV
β Excel (XLSX)
β XML
β HTML
---
### π¦ Example Output
```
{
"repoName": "linux",
"ownerUsername": "torvalds",
"ownerProfileUrl": "https://github.com/torvalds",
"description": "Linux kernel source tree",
"language": "C",
"languageColor": "#555555",
"stars": 180000,
"forks": 58000,
"topics": \[
"kernel",
"operating-system",
"linux"
],
"visibility": "public",
"updatedAt": "2026-02-20T14:12:35Z",
"repoUrl": "https://github.com/torvalds/linux"
}
````
---
### π Preconfigured Dataset Views
#### πΉ Repository Overview
Clean structured repository table.
#### πΉ Detailed Repository Data
Includes topics, languages, stars, forks, and update dates.
#### πΉ Repositories by Owner
Repositories grouped by GitHub profile.
#### πΉ Repositories by Language
Repositories categorized by programming language.
#### πΉ Compact Export
Minimal dataset for lead generation and analysis.
---
### π₯ Why This is the BEST GitHub Repository Scraper on Apify?
β Optimized for Apify search ranking
β Supports bulk usernames & URLs
β High-speed extraction engine
β Clean structured datasets
β Enterprise-ready scalability
β Perfect for GitHub research projects
β Reliable cloud execution
β Automation-friendly workflows
---
### πΈ Pricing
This scraper runs on a **pay-per-result pricing model**.
You only pay for successfully extracted records.
π³ **Price:** $2.99 / 1,000 results
---
### β FAQ
#### Can I scrape multiple GitHub profiles at once?
Yes. Bulk profile scraping is fully supported.
#### Can I use usernames instead of URLs?
Yes. Usernames, @usernames, and profile URLs are supported.
#### Are private repositories collected?
No. Only publicly available repositories are extracted.
#### Can I export the data?
Yes. JSON, CSV, Excel, XML, and HTML are supported.
#### Is coding required?
No. This is a fully no-code Apify Actor.
#### Can I monitor repository activity?
Yes. Updated dates, stars, forks, and repository metadata are extracted.
---
### β οΈ Disclaimer
This scraper is an independent automation tool and is not affiliated with, endorsed by, or sponsored by GitHub.
---
### π Related Actors
Explore more PrimeScrape tools for:
π GitHub Intelligence
π Developer Analytics
π’ Company Research
πΌ Lead Generation
π€ AI Training Datasets
π Market Intelligence
π More tools coming soon.
---
### π PrimeScrape Ecosystem
Built for large-scale:
π Data extraction
π€ AI datasets
π’ Business intelligence
π Market research
π― Lead generation
βοΈ Workflow automation
βοΈ Cloud scraping
---
### π¬ Support
βββββ Leave a review if you enjoy this Actor.
π© Need a custom scraper or enterprise solution?
Contact PrimeScrape directly through Apify.
# Actor input Schema
## `profileUrls` (type: `array`):
List of GitHub profile URLs or usernames to scrape repositories from.
Accepted formats:
β’ Full URL: https://github.com/username
β’ Username with @: @username
β’ Plain username: username
Examples:
β’ ['https://github.com/pirate', 'https://github.com/mahmoudimus']
β’ ['@torvalds', '@gvanrossum']
β’ ['pirate', 'mahmoudimus']
Only public repositories will be collected.
## `maxItemsPerProfile` (type: `integer`):
Maximum number of repositories to collect for EACH profile.
The scraper will:
β’ Paginate through the repositories tab (up to 30 repos per page)
β’ Scroll 3 times per page to ensure full content load
β’ Stop when reaching this limit OR after 2 consecutive empty pages
β’ Move to the next profile automatically
Recommended values:
β’ 30 for quick sampling (1 page)
β’ 100-200 for medium scraping
β’ 500+ for comprehensive collection
## Actor input object example
```json
{
"profileUrls": [
"https://github.com/pirate"
],
"maxItemsPerProfile": 30
}
````
# Actor output Schema
## `overview` (type: `string`):
No description
## `detailed_repos` (type: `string`):
No description
## `by_owner` (type: `string`):
No description
## `by_language` (type: `string`):
No description
## `compact_list` (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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"profileUrls": [
"https://github.com/pirate"
],
"maxItemsPerProfile": 30
};
// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/github-repositories-scraper-low-cost").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`πΎ 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);
});
// π Want to learn more π? Go to β 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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"profileUrls": ["https://github.com/pirate"],
"maxItemsPerProfile": 30,
}
# Run the Actor and wait for it to finish
run = client.actor("delectable_incubator/github-repositories-scraper-low-cost").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("πΎ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# π Want to learn more π? Go to β https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"profileUrls": [
"https://github.com/pirate"
],
"maxItemsPerProfile": 30
}' |
apify call delectable_incubator/github-repositories-scraper-low-cost --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=delectable_incubator/github-repositories-scraper-low-cost",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "GitHub repositories Scraper - Low-costπ²π₯π¦π",
"description": "Scrape GitHub repositories π¦π with a powerful developer data scraper. Extract repository names, descriptions, programming languages, stars, topics, forks, and repository URLs from any GitHub profile. Ideal for open-source analysis, developer scouting, technology research and market insights ππ",
"version": "0.0",
"x-build-id": "okMzMaRUBaD8AEaBQ"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/delectable_incubator~github-repositories-scraper-low-cost/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-delectable_incubator-github-repositories-scraper-low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/delectable_incubator~github-repositories-scraper-low-cost/runs": {
"post": {
"operationId": "runs-sync-delectable_incubator-github-repositories-scraper-low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/delectable_incubator~github-repositories-scraper-low-cost/run-sync": {
"post": {
"operationId": "run-sync-delectable_incubator-github-repositories-scraper-low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"required": [
"profileUrls",
"maxItemsPerProfile"
],
"properties": {
"profileUrls": {
"title": "Profile URLs (Bulk) π₯",
"type": "array",
"description": "List of GitHub profile URLs or usernames to scrape repositories from.\n\nAccepted formats:\nβ’ Full URL: https://github.com/username\nβ’ Username with @: @username\nβ’ Plain username: username\n\nExamples:\nβ’ ['https://github.com/pirate', 'https://github.com/mahmoudimus']\nβ’ ['@torvalds', '@gvanrossum']\nβ’ ['pirate', 'mahmoudimus']\n\nOnly public repositories will be collected.",
"default": [
"https://github.com/pirate"
],
"items": {
"type": "string"
}
},
"maxItemsPerProfile": {
"title": "Maximum Repositories Per Profile π―",
"type": "integer",
"description": "Maximum number of repositories to collect for EACH profile.\n\nThe scraper will:\nβ’ Paginate through the repositories tab (up to 30 repos per page)\nβ’ Scroll 3 times per page to ensure full content load\nβ’ Stop when reaching this limit OR after 2 consecutive empty pages\nβ’ Move to the next profile automatically\n\nRecommended values:\nβ’ 30 for quick sampling (1 page)\nβ’ 100-200 for medium scraping\nβ’ 500+ for comprehensive collection",
"default": 30
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```