# Authentic Jobs Scraper - Design & Developer Jobs (`parseforge/authentic-jobs-scraper`) Actor
Get instant access to active job listings from Authentic Jobs with title, company, location, remote flag, posted date, salary when published and the direct apply link. Perfect for recruiters, agencies, aggregator sites and job hunters. Run on demand or on a recurring schedule and feed every row i.
- **URL**: https://apify.com/parseforge/authentic-jobs-scraper.md
- **Developed by:** [ParseForge](https://apify.com/parseforge) (community)
- **Categories:** Jobs, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
Pay per usage
This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage
## 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
## ๐ผ Authentic Jobs Scraper
> ๐ **Pull Authentic Jobs design and developer postings in seconds.** Title, company, location, posted date, full description and apply URL. multiple table outputs.
> ๐ **Last updated:** 2026-05-27 ยท **๐ 8 fields** per record ยท Live feed ยท Refreshed hourly
Pulls Authentic Jobs postings directly from the public RSS feed at `authenticjobs.com/?feed=job_feed`. Designer, creative and developer roles from Vercel, Stripe, Apple, Linear and hundreds more authentic employers.
---
### Target Audience / Use Cases
| ๐ฏ Target Audience | ๐ก Primary Use Cases |
|---|---|
| Job aggregators | Feed design/dev roles into your board |
| Recruiters | Source niche design and front-end talent |
| Job seekers | Daily watchlists of new roles |
| Researchers | Design industry hiring trends |
| Aggregator builders | Power data products with live job data |
---
### ๐ What this scraper does
- Connects to the official Authentic Jobs RSS feed
- Pulls every active job posting in the feed
- Returns structured rows ready for analysis
- Outputs structured data, spreadsheet, spreadsheet, feed
> ๐ก **Why it matters:** the RSS feed surfaces every fresh design/developer posting hourly. Get it as a structured dataset.
---
### ๐ฌ Full Demo
๐ง Coming soon
---
### โ๏ธ Input
Field
Type
Description
maxItems
integer
Free users: Limited to 10. Paid users: Optional, max 1,000,000.
keyword
string
Optional. Case-insensitive substring filter against title and description.
```json
{ "maxItems": 5 }
````
```json
{ "maxItems": 25, "keyword": "react" }
```
> โ ๏ธ **Good to Know:** the feed exposes the live, currently-active postings. Older closed roles are not returned.
***
### ๐ Output
Key fields: title, company, url, pubDate, categories, description, sourceUrl, scrapedAt.
***
### โจ Why choose this Actor
- ๐ข Backed by the official Authentic Jobs RSS feed
- ๐ข No login or API key required
- ๐ข Up to 1,000,000 records per paid run
- ๐ข Multiple pull outputs
***
### ๐ How it compares to alternatives
| Option | Free | Bulk | Live |
|---|---|---|---|
| Source website | Yes | No | Yes |
| **ParseForge Scraper** | **Yes** | **Yes** | **Live** |
***
### ๐ How to use
1. [Create a free account w/ $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp)
2. Open this actor in the Apify Console
3. Set your input filters (or use the prefill)
4. Click **Start** and wait for the run to finish
5. Use the dataset as multiple table outputs
***
### ๐ผ Business use cases
- Powering a niche design job board
- Sourcing remote design and engineering candidates
- Tracking which companies are hiring designers right now
- Building daily digest emails for designers
***
### ๐ Automating Authentic Jobs Scraper
Trigger runs from Make, Zapier, n8n, Airbyte, GitHub Actions, Google Sheets, Slack, Airtable or any HTTP client via the Apify API.
***
### ๐ Beyond business use cases
- Research and academic studies of the design industry
- Personal job watchlists with custom keyword alerts
- Non-profit talent boards for designers
- Tech experimentation with job-feed pipelines
***
### ๐ค Ask an AI assistant
Open the run URL with ChatGPT, Claude, Perplexity or Copilot for instant insights.
***
### โ Frequently Asked Questions
**Is this affiliated with Authentic Jobs?** No, independent tool.
**Is login required?** No, only public RSS data.
**How fresh is the data?** Pulled live on every run; feed updates hourly.
**Can I filter by keyword?** Yes, the `keyword` input does a case-insensitive substring match.
**Can I pull to spreadsheet?** Yes.
**Can I get the full description text?** Yes, with HTML stripped.
**What's the maximum number of records?** Up to 1,000,000 on paid plans.
**Does the feed include closed jobs?** No, only currently active postings.
**Is the data live?** Yes, every run.
**Will this break if Authentic Jobs changes their site?** The RSS feed is a stable contract; if it changes we update the actor.
***
### ๐ Integrate with any app
Apify API works with REST, webhooks, Make, Zapier, Airbyte, n8n, Slack, Google Drive, GitHub, Airtable.
***
### ๐ Recommended Actors
| Actor | What it does |
|---|---|
| [Google Maps Scraper](https://apify.com/compass/crawler-google-places) | Business listings from Google Maps |
| [LinkedIn Profile Scraper](https://apify.com/curious_coder/linkedin-profile-scraper) | Public LinkedIn profile data |
| [Indeed Scraper](https://apify.com/misceres/indeed-scraper) | Job listings from Indeed |
> ๐ก **Pro Tip:** browse the complete [ParseForge collection](https://apify.com/parseforge).
**๐ Need Help?** [Open our contact form](https://tally.so/r/BzdKgA)
> **โ ๏ธ Disclaimer:** independent tool, not affiliated with Authentic Jobs. Only publicly available data collected.
# Actor input Schema
## `maxItems` (type: `integer`):
Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000
## `keyword` (type: `string`):
Optional. Substring match against job title or description (case-insensitive).
## Actor input object example
```json
{
"maxItems": 10
}
```
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"maxItems": 10
};
// Run the Actor and wait for it to finish
const run = await client.actor("parseforge/authentic-jobs-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`๐พ 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);
});
// ๐ Want to learn more ๐? Go to โ 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 = { "maxItems": 10 }
# Run the Actor and wait for it to finish
run = client.actor("parseforge/authentic-jobs-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("๐พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# ๐ Want to learn more ๐? Go to โ https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"maxItems": 10
}' |
apify call parseforge/authentic-jobs-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=parseforge/authentic-jobs-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Authentic Jobs Scraper - Design & Developer Jobs",
"description": "Get instant access to active job listings from Authentic Jobs with title, company, location, remote flag, posted date, salary when published and the direct apply link. Perfect for recruiters, agencies, aggregator sites and job hunters. Run on demand or on a recurring schedule and feed every row i.",
"version": "0.1",
"x-build-id": "4YbWTgLOSrzefYoxO"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/parseforge~authentic-jobs-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-parseforge-authentic-jobs-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/parseforge~authentic-jobs-scraper/runs": {
"post": {
"operationId": "runs-sync-parseforge-authentic-jobs-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/parseforge~authentic-jobs-scraper/run-sync": {
"post": {
"operationId": "run-sync-parseforge-authentic-jobs-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"maxItems": {
"title": "Max Items",
"minimum": 1,
"maximum": 1000000,
"type": "integer",
"description": "Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000"
},
"keyword": {
"title": "Keyword filter",
"type": "string",
"description": "Optional. Substring match against job title or description (case-insensitive)."
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```