# GitHub Followers Scraper β Developer Leads (`haketa/github-followers-scraper`) Actor
Export the followers of any GitHub user or organization, enriched with name, bio, company, location, website, email and X/Twitter. Build targeted developer and recruiting lead lists β just enter an account, no code or token required.
- **URL**: https://apify.com/haketa/github-followers-scraper.md
- **Developed by:** [Haketa](https://apify.com/haketa) (community)
- **Categories:** Lead generation, Developer tools, Social media
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $1.50 / 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/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/docs.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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
π₯ GitHub Followers Scraper
Turn any GitHub account's followers into an enriched developer lead list.
    
Pick any GitHub **user** or **organization**, and this Actor exports **everyone who follows them** β each enriched with **name, bio, company, location, website, public email and X/Twitter**. It's the fastest way to build a targeted list of real developers around a project, a tool, a competitor, or a thought leader.
> π **No token, no login, no code.** Type an account name and press **Start**. A GitHub token is optional and only speeds up very large jobs.
---
### β¨ Why you'll love it
- π― **Laser-targeted leads** β the followers of an account are already interested in that person, product, or topic.
- π§βπ» **Real developer profiles** β name, company, location, website, X/Twitter and public email in every row.
- π’ **Users *and* organizations** β scrape the followers of a person (e.g. `torvalds`) or a company org (e.g. `vercel`).
- π **Works without a token** β most competitors force you to create API keys. This one doesn't.
- π§Ή **Clean, deduplicated output** β spreadsheet-ready, only the columns that matter.
- β‘ **Fast & cheap** β enriches ~100 followers in well under a minute.
---
### π₯ Who it's for
| You are⦠| Use it to⦠|
| :-- | :-- |
| 𧲠**Recruiter / tech sourcer** | Find developers by language, company and location around a project they follow. |
| π οΈ **Dev-tool / SaaS marketer** | Reach the exact developers following your competitor or a related tool. |
| π **Founder / DevRel** | Understand and reach your own (or a rival's) developer audience. |
| π **Market researcher** | Map the community around a framework, library or company. |
| π€ **Agency / consultancy** | Build outreach lists of engineers in a specific niche. |
---
### β‘ Quick start
1. Open the Actor.
2. In **GitHub accounts**, type one or more usernames or profile URLs β e.g. `torvalds`, `vercel`, `https://github.com/microsoft`.
3. Press **Start**. (Leave everything on default for a ready-made sample of ~100 enriched followers.)
4. When it finishes, open the **Output** tab to preview.
5. Hit **Export** β **Excel / CSV / JSON**, or send to **Google Sheets**, **Airtable**, **Zapier**, **Make**, or your app via API.
---
### 𧩠Input options (all optional)
#### π€ GitHub accounts Β· `usernames`
The users or organizations whose followers you want. Enter a **username** (`torvalds`) or paste a **profile URL** (`https://github.com/vercel`). Add as many as you like.
#### π’ Max followers (total) Β· `maxItems`
Stop after this many followers in total. Defaults to **100**. Set **0** for no limit.
#### π’ Max followers per account Β· `maxFollowersPerAccount`
Optional cap per account β handy when scraping several accounts at once so one big account doesn't use up your whole budget. **0** = no per-account cap.
#### β¨ Enrich follower profiles Β· `enrichProfiles`
On by default. Collects full details for every follower (name, bio, company, location, website, public email, X/Twitter). Turn **off** for a faster username-only list.
#### π GitHub token Β· `githubToken` *(optional)*
Leave empty to run token-free. For very large jobs, paste a **free** GitHub personal access token to run faster and enrich via the API. Your token is stored securely and only used for your run.
#### π Proxy Β· `proxyConfiguration`
Recommended and on by default. Standard **datacenter proxies** are enough.
---
### π§ͺ Example inputs
π€ Followers of one developer (default-style run)
```json
{ "usernames": ["torvalds"], "maxItems": 100 }
````
π’ Followers of a company org
```json
{ "usernames": ["vercel"], "maxItems": 500 }
```
𧲠Several accounts, capped per account
```json
{
"usernames": ["gaearon", "yyx990803", "https://github.com/sveltejs"],
"maxItems": 600,
"maxFollowersPerAccount": 200
}
```
β‘ Fast username-only list (no enrichment)
```json
{ "usernames": ["kentcdodds"], "maxItems": 1000, "enrichProfiles": false }
```
***
### π€ Output
Every follower is one flat, spreadsheet-ready row. Only the fields that exist for a given profile are included, so your export stays clean.
#### π Field reference
| Field | π Description |
| :-- | :-- |
| `username` | π§βπ» The follower's GitHub username. |
| `name` | Their display name. |
| `bio` | Profile bio. |
| `company` | π’ Company / organization (often an `@handle`). |
| `location` | π Location. |
| `websiteUrl` | π Personal or company website. |
| `email` | βοΈ Public email β included when the user made it public. |
| `twitter` | π¦ X / Twitter handle. |
| `followersCount` | π₯ How many followers *they* have (influence signal). |
| `followingCount` | How many accounts they follow. |
| `publicRepos` | π¦ Public repositories (with token enrichment). |
| `hireable` | β
Whether they flagged themselves open to work (with token enrichment). |
| `createdAt` | π When they joined GitHub (with token enrichment). |
| `avatarUrl` | πΌοΈ Avatar image. |
| `profileUrl` | π Link to their GitHub profile. |
| `type` | `User` or `Organization`. |
| `followerOf` | Which account they follow (your target). |
#### π§βπ» Sample row
```json
{
"username": "andrew",
"name": "Andrew Nesbitt",
"bio": "Software engineer working on open source sustainability.",
"company": "@ecosyste-ms and @octobox",
"location": "Bristol, UK",
"websiteUrl": "https://nesbitt.io",
"twitter": "teabass",
"followersCount": 3400,
"avatarUrl": "https://avatars.githubusercontent.com/u/1060?v=4",
"profileUrl": "https://github.com/andrew",
"type": "User",
"followerOf": "yyx990803"
}
```
***
### π‘ Use cases in detail
**𧲠Technical recruiting**
Scrape the followers of a project or company your ideal candidates admire, then filter the export by `location`, `company`, `bio` and `websiteUrl` to shortlist engineers β and reach out on their site or X.
**π οΈ Developer-tool go-to-market**
Export the followers of a competitor's org or a complementary library. These are developers already in your category β the warmest possible audience for your tool.
**π Audience & community mapping**
Combine several related accounts (a framework, its creator, its ecosystem orgs) to map the whole community, then dedupe and analyze by company and location.
**π Influencer & partnership research**
Use `followersCount` to spot high-influence developers in a niche for partnerships, sponsorships or advocacy.
***
### π§ Tips for best results
- π€ **Target the right account** β the more focused the account, the more relevant its followers.
- π’ **Use a per-account cap** when scraping several big accounts so the results stay balanced.
- β‘ **Turn off enrichment** for a quick username-only list, then re-run enrichment on the ones you care about.
- π **Add a free token** only if you're pulling very large lists and want maximum speed.
- π§Ή **Deduplication is automatic** within each account.
***
### π Export & integrations
β¬οΈ **Excel Β· CSV Β· JSON Β· XML** Β· π **Google Sheets & Airtable** Β· π **Webhooks & API** Β· π€ **Make, Zapier, n8n**
***
### β FAQ
**Do I need a GitHub token?** β No. The Actor runs fully token-free. A token is optional and only speeds up very large jobs.
**Do I need to write code or provide IDs?** β No. Just type a username or paste a profile URL.
**Can I scrape an organization's followers?** β Yes. GitHub lets people follow organizations, and this Actor collects those followers too.
**Are emails always included?** β Only when a user has made their email public on their profile, so expect it on a minority of rows. Website and X/Twitter are more commonly available.
**How many followers can I get per account?** β Very large accounts are collected up to a high practical limit per account; use the caps to control size and speed.
**Will I get duplicates?** β No. Followers are deduplicated within each account.
**Can I schedule it?** β Yes. Use Apify Schedules to refresh your lists daily, weekly or monthly.
***
### βοΈ Legal & responsible use
This Actor collects only publicly available profile information for legitimate research, recruiting and lead generation. You are responsible for how you use the data, including compliance with applicable laws (such as GDPR and CCPA), platform terms, and anti-spam rules when contacting anyone. Do not use the data for unsolicited bulk messaging or any unlawful purpose, and always respect the privacy and preferences of the people in your results.
# Actor input Schema
## `usernames` (type: `array`):
The GitHub users or organizations whose followers you want. Type a username (e.g. "torvalds") or paste a profile URL (e.g. https://github.com/vercel). Add as many as you like.
## `maxItems` (type: `integer`):
Stop after collecting this many followers in total across all accounts. Set 0 for no limit.
## `maxFollowersPerAccount` (type: `integer`):
Optional cap per account β handy when scraping several accounts at once. Set 0 for no per-account cap.
## `enrichProfiles` (type: `boolean`):
Collect full details for every follower β name, bio, company, location, website, public email and X/Twitter. Turn off for a faster username-only list.
## `githubToken` (type: `string`):
Optional. Paste a free GitHub personal access token to run larger jobs faster. Leave empty to run without one.
## `proxyConfiguration` (type: `object`):
Recommended for reliable collection. Datacenter proxies are enough for this Actor.
## Actor input object example
```json
{
"usernames": [
"torvalds",
"vercel",
"https://github.com/microsoft"
],
"maxItems": 100,
"maxFollowersPerAccount": 0,
"enrichProfiles": true,
"proxyConfiguration": {
"useApifyProxy": true
}
}
```
# Actor output Schema
## `dataset` (type: `string`):
Open to view, filter and export all collected followers (JSON, CSV, Excel).
# 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 = {
"usernames": [
"torvalds"
],
"maxItems": 100,
"proxyConfiguration": {
"useApifyProxy": true
}
};
// Run the Actor and wait for it to finish
const run = await client.actor("haketa/github-followers-scraper").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 = {
"usernames": ["torvalds"],
"maxItems": 100,
"proxyConfiguration": { "useApifyProxy": True },
}
# Run the Actor and wait for it to finish
run = client.actor("haketa/github-followers-scraper").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 '{
"usernames": [
"torvalds"
],
"maxItems": 100,
"proxyConfiguration": {
"useApifyProxy": true
}
}' |
apify call haketa/github-followers-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=haketa/github-followers-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "GitHub Followers Scraper β Developer Leads",
"description": "Export the followers of any GitHub user or organization, enriched with name, bio, company, location, website, email and X/Twitter. Build targeted developer and recruiting lead lists β just enter an account, no code or token required.",
"version": "0.1",
"x-build-id": "ADKAcvrc3IFConQhj"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/haketa~github-followers-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-haketa-github-followers-scraper",
"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/haketa~github-followers-scraper/runs": {
"post": {
"operationId": "runs-sync-haketa-github-followers-scraper",
"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/haketa~github-followers-scraper/run-sync": {
"post": {
"operationId": "run-sync-haketa-github-followers-scraper",
"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",
"properties": {
"usernames": {
"title": "GitHub accounts",
"type": "array",
"description": "The GitHub users or organizations whose followers you want. Type a username (e.g. \"torvalds\") or paste a profile URL (e.g. https://github.com/vercel). Add as many as you like.",
"items": {
"type": "string"
}
},
"maxItems": {
"title": "Max followers (total)",
"minimum": 0,
"type": "integer",
"description": "Stop after collecting this many followers in total across all accounts. Set 0 for no limit.",
"default": 100
},
"maxFollowersPerAccount": {
"title": "Max followers per account",
"minimum": 0,
"type": "integer",
"description": "Optional cap per account β handy when scraping several accounts at once. Set 0 for no per-account cap.",
"default": 0
},
"enrichProfiles": {
"title": "Enrich follower profiles",
"type": "boolean",
"description": "Collect full details for every follower β name, bio, company, location, website, public email and X/Twitter. Turn off for a faster username-only list.",
"default": true
},
"githubToken": {
"title": "GitHub token (optional)",
"type": "string",
"description": "Optional. Paste a free GitHub personal access token to run larger jobs faster. Leave empty to run without one."
},
"proxyConfiguration": {
"title": "Proxy configuration",
"type": "object",
"description": "Recommended for reliable collection. Datacenter proxies are enough for this Actor.",
"default": {
"useApifyProxy": true
}
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```