Ship with production-ready hiring data in minutes, not months
Simple Job Data API
Access full ATS-sourced job post data in clean JSON format from thousands of companies hiring globally. Build job boards, lead generation workflows, analytics pipelines, and matching systems without scraper maintenance.
Public endpoints are available for limited testing before subscription.
339,491
New Jobs in The Last 7 Days
1,882,703
New Jobs in The Last 30 Days
39,852,846
Total Jobs in Database
More stats:
From sign-up to first data import in 3 steps
Step 1
Choose your access plan
Pick the plan that matches your use case and generate your API key from the dashboard.
Step 2
Call relevant endpoints
Use /api/jobs/ with filters like title, location, company, remote flag, or date windows.
Step 3
Cache and scale reliably
Store fetched data in your backend, sync updates daily, and keep your product fresh without scraper ops.
Example request
curl -X GET -H "Authorization: Api-Key YOUR_API_KEY" "https://jobdataapi.com/api/jobs/?title=python&max_age=7"
All endpoints are public with live data for testing/structure review in a limited fashion. Add an API key to remove anonymous limits according to your plan.
Popular use cases
Job boards and vertical marketplaces
Backfill your board quickly with daily fresh listings, geo filters, and direct apply links.
See endpoint docsB2B lead generation from hiring signals
Track hiring activity by role, location, and company to enrich sales workflows and intent scoring.
See tutorialRecruiting analytics and labor market research
Analyze trends over time with historical data, industry context, and normalized job metadata.
See filtering optionsAI matching and semantic job search
Use pre-generated embeddings and vector search to power recommendation and matching pipelines.
See exampleHR tech enrichment and company intelligence
Enrich internal tools with company metadata, hiring context, and role-level activity from one API source.
See company and tag docsSalary trend tracking and compensation benchmarks
Use salary fields and currency rates to monitor pay trends across regions, roles, and industries over time.
See salary-related fieldsTalent intelligence for investors and strategy teams
Track hiring momentum by company, role family, and region to surface growth and slowdown signals early.
See jobs and company filtersWorkforce planning for enterprises and consultancies
Benchmark demand for skills, roles, and seniority across markets to inform hiring and location strategy.
See taxonomy and geo docsPricing at a glance
Our pricing is intentionally simple: choose one flat monthly plan based on the feature set you need, then use the API across as many projects as you want. No credits, no usage caps, no overage surprises.
All plans include direct ATS-sourced job data access, clean JSON responses, daily fresh listings, public endpoint testing before subscribing, secure Stripe billing, and the option to cancel any time towards the end of each billing period.
Access lite
$295/mo
Latest jobs feed (past 90 days), ideal for lightweight integrations.
Compare plansAccess pro
$745/mo
Adds expired jobs lifecycle, full-text search, and full company endpoint.
Compare plansAccess pro+
$925/mo
Adds vector embeddings, vector search, salary extras, and role taxonomy.
Compare plansAccess ultra
$1650/mo
Includes full weekly CSV downloads and higher vector search allocation.
Compare plansNeed more detail? View all features, FAQ, and terms on the full pricing page.
Fill your data analytics pipeline or job board with fresh jobs within minutes
There is no need to rely on outdated content from mediocre job sites, build brittle scrapers, or manually curate jobs from the web.
If you want to attract an audience in your niche or industry for your new or established job board, you can get the backfill you need with just a few API calls.
We aggregate job listings from different ATS and HR software providers and put them together into one simple data feed.
One simple jobs API endpoint
Access millions of jobs published since January 2023 behind just one endpoint.
Reliable JSON format
Avoid parsing hell and irregularities with our clean, simple and streamlined job data format.
Tech & knowledge worker jobs
Get access to jobs from thousands of tech companies and startups globally.
Filter for remote jobs easily
Hundreds of thousands of remote job listings in many countries all around the globe.
Feature Highlights
Fast implementation
Subscribe and be ready to go within minutes and get exactly all the listings you need.
Unlimited access
Get unlimited API access to fetch as many job posts as you like. No hourly rate limits or metered billing.
Direct ATS apply links
Provide apply links that lead directly to a companies ATS or website, no redirects to other job platforms.
Quality content
Job posts go through quality filters to ensure only valid and relevant ads are imported into our database.
Manual reviews
We keep humans in the loop to increase data accuracy and validity in addition to our automated QA.
Company info
Every job ad contains the hiring company's name, logo, website and often social media links.
No backlinks required
No need to backlink to anther job site or mention publicly where the data came from.
Daily updates
We collect and process tens of thousands of fresh job posts on a daily basis.
Extensive geo filters
Structured geo data to filter jobs globally by geographical region, country or even down to state and city level
Markdown included
All job descriptions are available in Markdown format in addition to their original HTML version.
Expired jobs info
Get to know when jobs expire so you or your users do not have to deal with outdated listings.
access pro
Company filters for jobs
Narrow down your job feed by using advanced filters related to extended company info.
access pro
Full-text search for job posts
Search for keywords or phrases in millions of job descriptions.
access pro
Job post embeddings
Get every job post with pre-generated vector embeddings for semantic search and matching.
access pro+new!
Vector search
Intelligently sift through millions of job descriptions with similarity-based searches.
access pro+new!
Full data CSV file downloads
Kickstart your jobboard or research project by downloading job data all at once in CSV format.
access ultra
Why teams switch from scraper stacks to jobdata API
Most teams switch because they want to stop spending engineering time on fragile sourcing infrastructure and move to a predictable, queryable data layer with built-in geodata, company context, lifecycle tracking, and clear feature tiers.
Explore the full technical details in Docs, and endpoint-specific guides for jobs, companies, expired jobs, vector search, and CSV downloads.
Structured coverage instead of brittle scraping
With one jobs feed, every result already includes linked entities such as company, job types, and normalized geography data across regions, countries, states, and cities. You can query dedicated geo reference endpoints for consistent filtering and faceting, enrich records with company, industry, and company-type metadata, and use expired jobs lifecycle data to handle stale listings without building separate cleanup logic.
Filter depth and search precision out of the box
The API supports granular filtering across company attributes, full geo hierarchy, title and location keywords, language, remote flags, experience levels, date windows, and salary ranges. Multi-value include/exclude and OR operators allow complex retrieval patterns in a single request, while pro-tier full-text description search and optional response shaping via description_md, description_str, and description_off help teams optimize for rendering, analysis, or NLP pipelines.
Simple pricing model with a clear upgrade path and flexibility
Pricing remains flat and predictable across plans, with no credit system, no monthly usage caps, and no overage billing model. Start with core access, then unlock pro features like expired jobs and full-text search, move to pro+ for embeddings, vector search, salary extras, and role taxonomy, and use ultra when they need complete weekly CSV snapshots and relation tables for large-scale backfills and warehouse workflows.
Integration ergonomics for production teams
A consistent pagination structure with count, next, previous, and results simplifies ingestion logic, while documented incremental sync patterns based on IDs and date windows make updates predictable. Teams can onboard quickly with code and no-code examples across curl, Python, Excel, n8n, Make, and Zapier, and reduce downstream transformation work through normalized fields and direct apply links.
| What matters | Build and maintain scrapers | jobdata API |
|---|---|---|
| Time to first data feed | Weeks to months | Minutes |
| Data normalization effort | High ongoing engineering overhead | Clean JSON schema out of the box |
| Search and filtering capability | Custom implementation and constant parser maintenance | Deep filter stack + full-text + vector options by plan |
| Freshness and lifecycle tracking | Fragile pipelines and frequent breakage | Daily processing + expired jobs endpoint for lifecycle handling |
| Bulk and warehouse workflows | Ad hoc exports and custom scripts | Access ultra weekly CSV dumps with relation tables |
| Commercial model and cost predictability | Unpredictable infra and maintenance costs | Flat monthly plans with unlimited usage |
Accuracy and reliability notes
- Expired jobs tracking is best effort and typically 80-90% timely/accurate, with occasional delays.
- An internal 180-day auto-expire rule is applied to very old/stale listings.
- Vector search is documented as experimental and depends on embedding availability and plan limits.
- For stable integrations, use sequential request patterns and caching, and follow documented rate-limit guidance.
See details: expired jobs docs, vector docs, optimization guide, and rate limits.
Ready to integrate?
Review the endpoint docs, test with public requests, then subscribe via the pricing page and switch to authenticated production usage.
If you are leading a project and still evaluating fit, reach out directly for open questions not covered in our FAQ or docs, special integration constraints, plan guidance, non-public sample data requirements, and practical rollout advice for your specific use case.
Tutorials
Automated B2B Lead Generation Using Hiring Signals (Intent Data)
Why job postings are the ultimate intent data
Read more »
Introduction to Using Vector Search and Embeddings through the jobdata API
Unlocking semantic job search and candidate matching by combining pre-generated embeddings with scalable vector databases.
Read more »
A Two-Step Approach to Precision Job Filtering
This tutorial presents a two-step method for optimizing API queries within the Life Sciences and Biotechnology industries, to ensure highly relevant job listings are identified more efficiently and accurately.
Read more »
Using the jobdata API for Machine Learning with Cleaned Job Descriptions
Use our pre-processed job descriptions for machine learning, focusing on job title classification and skills extraction.
Read more »
Fetching and Maintaining Fresh Job Listings
Efficiently fetch and maintain fresh job listings using the jobdata API by retrieving recent jobs and checking for expired listings daily, ensuring a clean and relevant local job database.
Read more »