ats-index

One API to search jobs across every ATS. Full descriptions, salary ranges, 66 verified companies — no API keys, no scraping.

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Why this exists

Every company's careers page sits behind a different ATS — Greenhouse, Lever, Ashby, and more. Getting structured data means writing custom integrations for each one, parsing different response formats, and usually settling for job titles and links with no descriptions.

ats-index gives you one unified API to all of them. Public data, public APIs, no scraping — just the integration work you'd rather not redo.

Try it

npx ats-index fetch stripe --title-filter "product manager" --posted-within-days 14

Returns every PM role posted at Stripe in the last two weeks — title, department, location, salary, full description, direct link.

What you get back

Every job normalizes to this shape, across every platform:

{
  "id": "a1b2c3d4e5f6",
  "company": "Stripe",
  "title": "Senior Product Manager, Integrations",
  "department": "Product",
  "location": "San Francisco, CA",
  "locationType": "hybrid",
  "salary": { "min": 180000, "max": 260000, "currency": "USD" },
  "description": "Lead strategy for Stripe's integration ecosystem...",
  "url": "https://boards.greenhouse.io/stripe/jobs/12345",
  "postedAt": "2026-04-10T14:30:00Z"
}

No custom parsing per company. One schema across Greenhouse, Ashby, and Lever.

What you can build with it

Daily scan at target companies

npx ats-index fetch ramp --title-filter "product manager" --location-include "United States,Remote - US" --posted-within-days 7

Sector sweep

npx ats-index registry search fintech
# Loop fetch_jobs over each slug to scan a whole segment

As a library for your own tools

import { fetchJobs, registry } from 'ats-index';

const jobs = await fetchJobs({
  company: 'ramp',
  titleFilter: 'engineer',
  postedWithinDays: 14,
  limit: 50,
});

Job seekers use it for daily shortlists. Tool builders use it as a foundation for AI agents and career platforms. Researchers use it for hiring-trend analysis.

Install

npm install ats-index

Or run without installing:

npx ats-index fetch <company-slug>

Node.js 18+. No API keys. No configuration.

Data model

Field	Description
title	Full job title
company	Normalized company name
department	Team or department (when provided)
location	City, state, country, or remote
locationType	remote / hybrid / onsite
salary	Min-max range with currency (when available)
description	Full JD in clean markdown
url	Direct link to the posting
postedAt	Publication date (when provided)

Platforms

Platform	Status	Typical use
Greenhouse	Shipped	Most widely used ATS in tech
Ashby	Shipped	Growing fast with startups
Lever	Shipped	Common at mid-stage companies
BambooHR	Planned	Mid-market companies
Workday	Planned	Large enterprises

Adding a new ATS is a single adapter file. See Contributing.

Filters (quick reference)

Flag	What it matches	Use for
--title-filter	Title only	Role identity (PM, engineer, designer)
--filter	Title + department + description	Topic / scope (integrations, growth)
--posted-within-days	Recent postings	Recency cuts
--location-include	Location contains any keyword	Region targeting
--location-exclude	Location contains no keyword	Drop geographic noise
--limit	First N results	Cap output size

All filters AND together. Deep dive on filter design patterns: docs/filters.md.

Roadmap

Shipped

• Greenhouse, Ashby, Lever adapters
• Title / topic / location / date filters
• Salary extraction
• Verified company registry (66 companies)

In progress

• MCP server — expose as a tool for AI assistants (Claude Desktop, Cursor, etc.)

Planned

• BambooHR and Workday adapters
• Temporal tracking (when roles open, close, reopen)
• Change detection

Contributing

Add a company to the registry: submit a PR to the appropriate file in registry/.

Add an ATS adapter: new file in src/adapters/, follow the pattern of existing adapters.

Built by

Prashant R — PM who builds. I write about AI, product work, and the integration layer — where APIs, agents, and products fit together in practice.

• Portfolio + writing: prashantrana.xyz
• LinkedIn

ats-index is one experiment at that intersection. An MCP server version is coming next — turns this into a tool any AI assistant can use.

License

MIT