Ashby Jobs Scraper: all open jobs from Ashby job boards

Get every open job from any company's Ashby careers page, or search 13,000+ Ashby jobs already collected in our daily database. One clean row per job with title, company, location, countries, remote flag, department, seniority, tech stack, salary (when published), dates and the apply link.

No browser, no proxies, no login: the Actor reads Ashby's public job board feed, the same data a candidate sees on the careers page, so runs take seconds and do not break when the page design changes.

What you can do with it

• Scrape all jobs from a Ashby job board: paste https://jobs.ashbyhq.com/<company> or just the company slug
• Monitor Ashby careers pages of target companies and get only new jobs every day
• Search Ashby jobs across every company we track by job title, country, remote and salary
• Build a job board, newsletter or Slack alert from Ashby companies
• Export Ashby job postings to CSV, Excel, JSON, Google Sheets or your database
• Feed Ashby jobs to an AI agent through Apify's MCP server

Input

• Ashby job board URLs or company slugs (boardUrls): jobs.ashbyhq.com/<company> (any job link from that board works too). Leave empty to search all Ashby boards we track.
• Job title keywords, exclude keywords, locations, countries, remote only, departments, seniority, technologies, posted within / new within (days), only jobs with salary, include description, include duplicate postings and max results.

Example: all open engineering jobs at two Ashby companies

{ "boardUrls": ["https://jobs.ashbyhq.com/<company>", "another-company"], "keywords": ["engineer"] }

Example: remote Ashby jobs posted in the last 7 days that publish a salary

{ "remoteOnly": true, "postedWithinDays": 7, "salaryOnly": true, "maxResults": 200 }

Output

One row per job:

{
  "title": "Senior Backend Engineer",
  "company": "Acme",
  "ats": "ashby",
  "location": "Remote (US)",
  "countries": ["US"],
  "is_remote": true,
  "department": "Engineering",
  "seniority": "senior",
  "technologies": ["Python", "PostgreSQL", "AWS"],
  "salary_min": 170000,
  "salary_max": 210000,
  "salary_currency": "USD",
  "salary_period": "year",
  "salary_type": "base",
  "visa_sponsorship": null,
  "published_at": "2026-10-01T09:00:00+00:00",
  "first_seen": "2026-10-01",
  "url": "https://jobs.ashbyhq.com/<company>/..."
}

Ashby gives the team, department, employment type, workplace type (remote, hybrid, on-site), secondary locations and, very often, structured compensation; the Actor normalises all of it into the same schema it uses for Greenhouse, Lever, Ashby, Workable, Recruitee, SmartRecruiters, BambooHR and Personio, so you can mix sources without rewriting your code.

Pricing

Pay per result: $0.002 per job, less with an Apify subscription (Bronze $0.0018, Silver $0.0015, Gold $0.0012). Fetching a Ashby board that is not yet in our database costs $0.01 per board; after that it is tracked daily for everyone. There is no fixed fee and no subscription; set Max results or a maximum cost per run to cap spend.

FAQ

Do I need a Ashby account or API key? No. Only public job board data is used.

How fresh is the data? Boards in the database are refreshed every morning. Boards you pass in boardUrls that are not in the database yet are fetched live during your run.

Can I get only new jobs? Yes: schedule the Actor daily with newWithinDays: 1.

Where does the salary come from? From the structured pay fields when Ashby provides them, otherwise from the pay range written in the full job text (for example "Salary: $150,000 - $190,000 per year"). salary_type says whether the range is the base salary (base) or on-target earnings including commission (ote), so sales roles do not inflate your benchmarks. Jobs without a published range have empty salary fields.

Does it say whether a job sponsors visas? visa_sponsorship is true when the posting says it sponsors visas, false when it says it does not, and empty when the posting does not mention it.

How is it different from other Ashby scrapers? Besides scraping the boards you give it, it can search every Ashby company we track at once, it can return only jobs first seen since yesterday, and every row uses the same schema as our other job board Actors, so one pipeline handles all of them.

Why can I get fewer rows than the careers page shows? Large employers often post the same role several times (same title and location). You get one row per company + title + location, and similar_postings says how many identical postings it stands for. Turn on Include duplicate postings to get every posting.

Does it include the full job description? Turn on Include description (plain text, up to ~4,000 characters).

What if a company is not on Ashby? Use ATS Detector to find which job board a company uses.

Data and use

Only public job-posting data is collected, at a low request rate. No personal data about candidates. Please respect the terms of the sites you use the data on and applicable laws.

What it costs

Example	Cost
50 Ashby jobs	about $0.10
all jobs from 10 Ashby boards (~300 jobs)	about $0.60
fetching 10 Ashby boards not yet in the database	about $0.10

You only pay for rows you get. Set Max results (or a maximum cost per run in Apify) to cap spend. Apify's free plan includes monthly credit, so you can try it at no cost. Apify subscribers get automatic Store discounts on some events.

Use it from code, no-code tools or AI agents

Python (pip install apify-client):

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("worthwhile_quinsy/ashby-jobs-scraper").call(run_input={'boardUrls': ['https://jobs.ashbyhq.com/openai'], 'maxResults': 1000})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

JavaScript / Node.js (npm install apify-client):

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('worthwhile_quinsy/ashby-jobs-scraper').call({"boardUrls": ["https://jobs.ashbyhq.com/openai"], "maxResults": 1000});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

One HTTP call (returns the rows directly):

curl -X POST 'https://api.apify.com/v2/acts/worthwhile_quinsy~ashby-jobs-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN' \
  -H 'Content-Type: application/json' \
  -d '{"boardUrls": ["https://jobs.ashbyhq.com/openai"], "maxResults": 1000}'

No-code: connect it to Make, Zapier, n8n, Google Sheets, Slack or a webhook from the Integrations tab, and run it on a Schedule (for example every morning).

AI agents (MCP): use it as a tool in Claude, ChatGPT, Cursor or any MCP client through the Apify MCP server: https://mcp.apify.com?tools=worthwhile_quinsy/ashby-jobs-scraper. Your agent can then ask for live job data in plain language. Use this tool when the user asks for job listings from Ashby job boards or from a specific company's Ashby careers page.

More tools from the same job-data suite

All of these read the same daily database of jobs from company career pages, so results are consistent across tools.

Actor	What it gives you
Company Jobs Search + Hiring Signals	Search all jobs in the database, check your own list of companies, or get per-company hiring signals.
Remote Jobs API	Only remote jobs, ready for job boards, newsletters and alert bots.
Companies Hiring by Tech Stack	B2B buying signals: which companies are hiring for the tools you sell into.
Tech Salary Data API	Salary benchmarks (median, P25, P75) from fresh job postings with published pay.
Company Hiring Trends	Which companies are ramping up hiring, and which are slowing down.
ATS Detector	Which applicant tracking system (Greenhouse, Lever, Ashby...) a company uses, plus its career page.
Greenhouse Jobs Scraper	All open jobs from any Greenhouse job board, or search every Greenhouse board we track.
Lever Jobs Scraper	All open jobs from any Lever job board, or search every Lever board we track.

Questions and feedback

Found a bug, need another filter, field or ATS? Open an Issue on this Actor's page; issues are answered quickly. If it saved you time, a short review helps other people find it.