# Ashby Jobs & Salary Scraper (`scrapers_lat/ashby-jobs-scraper`) Actor
Scrape Ashby job board listings by company. Extract job title, location, department, team, employment type, salary range, equity, posting date, apply URL and full job description. Filter by keyword. Export JSON, CSV or Excel. No login or API key.
- **URL**: https://apify.com/scrapers\_lat/ashby-jobs-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** Jobs, Automation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $2.00 / 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.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
[](https://console.apify.com/actors/tV1dkREUSMIhC3Dzw/input)
## Ashby Jobs & Salary Scraper
> Extract every open job from any company hiring on Ashby, straight from the public board, with title, location, department, salary range and full description
Salary data range, equity, currency
Any company on Ashby
JSON / CSV / Excel output formats
Updated 2026-07-05
### What you get
Point the scraper at one or more companies (use the identifier in a jobs.ashbyhq.com URL, for example Ramp, Notion or Linear) and get every open role on that board as a structured record:
- **title**: the job title
- **company**: the hiring company
- **location**: the primary office or work location for the role
- **isRemote**: whether the role can be worked remotely
- **workplaceType**: remote, hybrid or on-site
- **employmentType**: full time, contract, intern or temporary
- **department**: the department the role sits in
- **team**: the specific team inside the department
- **salaryRange**: the published pay range as shown to candidates
- **salarySummary**: the full compensation summary, including equity notes
- **salaryMin**: the low end of the pay range as a number
- **salaryMax**: the high end of the pay range as a number
- **salaryCurrency**: the pay currency
- **salaryInterval**: the pay period, such as yearly or hourly
- **offersEquity**: whether the role includes equity
- **addressLocality**: the city for the role
- **addressRegion**: the state or region for the role
- **addressCountry**: the country for the role
- **secondaryLocations**: additional locations the role is open in
- **url**: the public job page
- **applyUrl**: the direct application link
- **jobId**: the unique posting ID
- **publishedAt**: when the posting went live
- **compensationTiers\***: the full per-location pay breakdown with base, equity and bonus components
- **descriptionHtml\***: the full job description as HTML
- **descriptionText\***: the full job description as clean plain text
- **observedAt**: when this listing was last seen by the scraper
*\*These fields only appear when Fetch full job description is set to true.*
### Who is it for
| Use case | Who benefits |
|---|---|
| Track open roles and pay ranges at target companies | Recruiters and staffing agencies |
| Benchmark salaries and equity across the market | Compensation and people teams |
| Read hiring signals to time sales and prospecting | Sales and revenue teams |
| Monitor competitor headcount and team growth | Market and competitive researchers |
| Build a live job board or salary aggregator feed | Job board and marketplace builders |
### Frequently Asked Questions
**How do I find a company's Ashby identifier?**
It is the company name in its careers URL. If a company hires through jobs.ashbyhq.com/Ramp, the identifier is Ramp. You can paste the identifier or the full URL and the scraper will normalize it. Add one entry per company you want to scrape.
**Does it include salary data?**
Yes. When a company publishes pay on its postings, every job carries the salary range, minimum and maximum as numbers, currency, pay interval and whether the role offers equity. Companies that do not publish pay simply return empty salary fields.
**How many jobs can it return per company?**
It returns every open role on the board, from a few dozen to several hundred per company. Use Max Items to cap the total across all companies when you only need a sample.
**Can I scrape several companies in one run?**
Yes. Add multiple companies and the scraper collects jobs from each in turn, tagging every record with its company so you can tell them apart. The Max Items limit applies to the combined total.
**How do I filter to specific roles?**
Use the Keyword filter to keep only jobs whose title, department, team, location or description contain your keyword, for example engineer, remote or sales. Leave it empty to return every open job.
### Export, API and AI agents (x402 + MCP)
Export the scraped data to **JSON, CSV or Excel**, pull it as a **dataset** through the Apify **API**, or wire it into your app with **no code**. This web scraper and data extractor also works for bulk data extraction and scheduled runs.
For AI agents: this Actor is available on **x402**, Apify's agentic payment standard built with Coinbase. An AI agent can discover, pay for and run it on its own with a funded wallet and a single HTTP request: no account, no subscription, no API key and no human in the loop. It also runs as an **MCP** tool inside Claude, Cursor and other AI clients out of the box. Learn more about [x402 agentic payments on Apify](https://docs.apify.com/platform/integrations/x402).
### Related scrapers
Need data from the same space? Here are other scrapers we build and maintain:
- [Greenhouse Job Board Listings Scraper](https://apify.com/scrapers_lat/greenhouse-jobs-scraper): Every open role from any company hiring on Greenhouse.
- [Lever Jobs Scraper](https://apify.com/scrapers_lat/lever-jobs-scraper): Open positions from any company hiring on Lever.
- [Indeed Jobs & Salary Scraper](https://apify.com/scrapers_lat/indeed-jobs-scraper): Job listings and salary data from Indeed.
- [Workable Jobs Scraper](https://apify.com/scrapers_lat/workable-jobs-scraper): Open roles from any company hiring on Workable.
### More scrapers at scrapers.lat
This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for Latin American and US public platforms: real estate, jobs, e-commerce, company registries and government data. Browse the full catalog, see live sample output for each one, or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).
---
> This actor is an independent tool and has no affiliation with Ashby. It only accesses data that is publicly available on company job boards. Use it in accordance with Ashby's terms of service.
# Actor input Schema
## `maxItems` (type: `integer`):
Maximum number of job listings to collect across all companies. Optional.
## `withDetails` (type: `boolean`):
When enabled, each job includes the full HTML description, plain-text description and detailed compensation tiers. When disabled, only the listing fields (title, location, department, team, salary range, apply URL, dates) are collected.
## `organizations` (type: `array`):
The Ashby job boards to scrape. Use the company identifier in its careers URL, for example jobs.ashbyhq.com/Ramp means the identifier is "Ramp". You can paste the identifier or the full jobs.ashbyhq.com URL. Add one entry per company.
## `searchQuery` (type: `string`):
Optional keyword to filter jobs after they are fetched. Matches against the job title, department, team, location and description (case-insensitive). Leave empty to return every open job.
## Actor input object example
```json
{
"maxItems": 10,
"withDetails": true,
"organizations": [
"Ramp",
"Notion",
"Linear"
]
}
````
# 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,
"organizations": [
"Ramp",
"Notion",
"Linear"
],
"searchQuery": ""
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/ashby-jobs-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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"maxItems": 10,
"organizations": [
"Ramp",
"Notion",
"Linear",
],
"searchQuery": "",
}
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/ashby-jobs-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"maxItems": 10,
"organizations": [
"Ramp",
"Notion",
"Linear"
],
"searchQuery": ""
}' |
apify call scrapers_lat/ashby-jobs-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/ashby-jobs-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Ashby Jobs & Salary Scraper",
"description": "Scrape Ashby job board listings by company. Extract job title, location, department, team, employment type, salary range, equity, posting date, apply URL and full job description. Filter by keyword. Export JSON, CSV or Excel. No login or API key.",
"version": "0.1",
"x-build-id": "M8AWKI0rTaKYruTvg"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapers_lat~ashby-jobs-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapers_lat-ashby-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapers_lat~ashby-jobs-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapers_lat-ashby-jobs-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapers_lat~ashby-jobs-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapers_lat-ashby-jobs-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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",
"required": [
"organizations"
],
"properties": {
"maxItems": {
"title": "Max Items",
"minimum": 1,
"maximum": 1000000,
"type": "integer",
"description": "Maximum number of job listings to collect across all companies. Optional."
},
"withDetails": {
"title": "Fetch full job description",
"type": "boolean",
"description": "When enabled, each job includes the full HTML description, plain-text description and detailed compensation tiers. When disabled, only the listing fields (title, location, department, team, salary range, apply URL, dates) are collected.",
"default": true
},
"organizations": {
"title": "Companies",
"type": "array",
"description": "The Ashby job boards to scrape. Use the company identifier in its careers URL, for example jobs.ashbyhq.com/Ramp means the identifier is \"Ramp\". You can paste the identifier or the full jobs.ashbyhq.com URL. Add one entry per company.",
"items": {
"type": "string"
}
},
"searchQuery": {
"title": "Keyword filter",
"type": "string",
"description": "Optional keyword to filter jobs after they are fetched. Matches against the job title, department, team, location and description (case-insensitive). Leave empty to return every open job."
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```