Best Job Posting Data APIs in 2026 (Compared)

Finding the right Job Posting API can transform how you access, analyze, and integrate job market data into your applications. Whether you're building a job board, powering sales intelligence, or analyzing hiring trends, choosing the right provider is crucial.

In this comprehensive guide, we'll compare the top job posting data APIs in 2026, breaking down their features, pricing, data coverage, and ideal use cases to help you make an informed decision.

Quick Comparison: Top Job Posting APIs in 2026

Capability	TheirStack	Coresignal	Bright Data	Sumble	Oxylabs	Proxycurl	Hirebase
🌍Sources	✅Boards + ATS + career pages	⚠️LinkedIn-heavy	⚠️Per-source datasets	⚠️LinkedIn jobs + signals	⚠️Scraper API + datasets	⚠️LinkedIn-focused	⚠️Multi-source (plan-dependent)
🧼Deduplication	✅Built-in	❌DIY	❌DIY	⚠️Basic (limited dedup)	❌DIY	❌DIY	⚠️Varies
⚡Freshness	✅Near real-time	⚠️Hours	⚠️Varies	⚠️Up to 24h delay	⚠️Configurable	✅On-demand	✅"Real-time" (vendor claims)
🔔Webhooks	✅Yes	❌No	⚠️Custom	⚠️Signals-only stream	⚠️Custom	❌No	⚠️Varies
🏢Company filters	✅Yes (firmographics + technographics)	⚠️Limited	⚠️DIY	⚠️Function-level filters, no company joins	⚠️DIY	❌No	⚠️Varies

Legend: ✅ built-in · ❌ not supported · ⚠️ possible but requires DIY/custom work

Detailed Review of Each Job Posting API

1. TheirStack"One API" coverage + intent

TheirStack takes a unique approach to technographic data by analyzing millions of job postings worldwide. Instead of only scanning websites for frontend technologies, it reveals what technologies companies are actively hiring for, implementing, and expanding. This means you get buying intent signals alongside comprehensive tech stack data — including backend technologies that website scanners miss entirely.

Strengths

• ✓Global coverage: 226M+ job postings from 195 countries, sourced from 353k+ job boards, company career pages and ATS platforms
• ✓Built-in deduplication across all 353k+ sources — the same job posted on several platforms counts once, so you pay for one record instead of five
• ✓Continuous ingestion, not batched refreshes — high-volume sources are scraped every 10 minutes, 86% of new postings are discovered same-day and 98% within 48 hours
• ✓Job closure tracking — we detect when a posting is filled or removed and record the exact date, so you can measure how long roles stay open
• ✓One request returns up to 500 full job records — no separate call per job to retrieve the data you just searched for
• ✓Cross-filtering in both directions — search jobs by company attributes (industry, size, revenue) and companies by job attributes (title, description, date, location)
• ✓Webhooks push new and closed postings as they happen, so you can keep a database in sync without polling
• ✓Both UI and API — explore data interactively at app.theirstack.com or integrate programmatically, no engineering resources required to get started
• ✓Official MCP server for AI-native workflows — query job data directly from Claude, Cursor, or any MCP-compatible agent
• ✓Bulk datasets available for warehouse ingestion — download or schedule delivery of full data exports
• ✓Self-serve transparent pricing starting free, with plans from $49/mo and one-time purchases available — no subscription required

Considerations

• ℹCoverage follows what companies publish — roles filled internally, through recruiters or never advertised online do not appear, because every record originates in a public job posting.
• ℹNo employee or contact data — we cover jobs and the companies behind them, so teams that also need person-level profiles pair TheirStack with a dedicated contact provider.

Pricing: Free / $49/mo (one-time purchases available) (free tier available)TheirStack →

2. CoresignalData engineers building custom job data pipelines via API

Coresignal is a B2B data infrastructure provider best known for its large employee and company datasets. Its jobs product now spans multiple sources with cross-source merging, but access stays API-first: a search-then-collect flow, a prompt-driven AI Data Search in the dashboard rather than a filterable interface, and monthly credits that expire on the lower plans.

Strengths

• ✓468M+ job postings archived since 2020, active and expired
• ✓Multi-source jobs dataset merges records from job boards, company websites, and ATS platforms into one canonical listing
• ✓Jobs cost 1 credit per record, the cheapest record type in their unified credit pool
• ✓Two high-volume plans price credits aggressively — Scale at $3,000 for 4M credits ($0.00075 each) and Elite at $5,000 for 10M ($0.0005 each), below any per-record API rate
• ✓Multi-source Jobs API (`/v2/job_multi_source/*`) returns cross-source merged listings
• ✓Search is free — only the collect call is billed, at 1 credit per job record
• ✓Bulk Collect retrieves up to 10,000 job records in a single request, by ID list or by Elasticsearch DSL filter, so pulling volume is not one call per job
• ✓An Agentic Search API takes a natural-language query instead of an Elasticsearch DSL one, on every plan including Mini

Considerations

• ℹBase jobs dataset is single-source and un-merged — cross-source deduplication only comes with the multi-source product, so the cheaper tier still returns the same posting several times.
• ℹVolume figures are not reconcilable: "500,000+ job listings added daily" sustained since 2020 would be over 1B postings, not the 468M+ they report; a separate page advertises 1.3M jobs a day for discovery, and a third says the 70M+ active postings are revisited every 24h. None of the four figures defines whether it counts unique postings, one row per source, or updates.
• ℹOnly a handful of sources — the multi-source jobs dataset combines a professional network plus platforms like Indeed and Glassdoor, far from the 353k+ company career pages, job boards and ATS platforms indexed by alternatives.
• ℹNo filterable user interface — the dashboard offers a prompt-driven AI Data Search with previews capped at 100 records, so refining a list means re-prompting rather than adjusting filters, and anything beyond a list export still needs the API and engineering support.
• ℹMonthly credits expire below Premium — on Mini, Starter, Pro, and Growth plans unused credits reset every month with no rollover, so bursty workloads pay for capacity they never use.
• ℹ2-endpoint API flow — search returns job IDs, then a separate collect step is needed to get the full records, so no single request both finds and returns the data.
• ℹNo synchronous bulk path — the endpoint that answers inside the same request returns exactly one job. Volume goes through Bulk Collect, which takes up to 10,000 records per request but is asynchronous: submit, wait for the files to be generated, then download and unzip them.
• ℹOne shared rate limit — 5 req/s on Mini and Starter, rising to 10, 20, 50, 100 and 100+ on Pro, Growth, Premium, Scale and Elite, split across search, collect, bulk collect and webhooks, so per-job collect loops throttle quickly at the low tiers.
• ℹAgentic Search is billed on top of the records — 20 credits per query plus 20 for every 20 results on `/fast`, and 100 plus 20 per 20 results on `/reasoning`, so a natural-language search costs many times what the same DSL query costs.
• ℹNo user interface — API-only product with no UI for exploration. Sales and non-technical teams cannot query jobs without engineering resources.
• ℹNo webhook subscriptions for jobs — webhooks only signal that a bulk file is ready, and change subscriptions that push updates as they happen exist for employee data only, so keeping a job database current means re-running searches yourself.
• ℹSubscription-only — credits are tied to a recurring monthly plan and cannot be bought once for a one-off project.

Pricing: $49/moCoresignal →

3. Bright DataEngineering teams building custom job data pipelines with real-time scraping

Bright Data is a web data infrastructure platform offering proxies, scrapers, and a dataset marketplace. It provides raw data collection capabilities that can be customized for any signal type — including job data as a side offering — though it requires more development effort and has seconds-to-minutes response times compared to pre-indexed APIs.

Strengths

• ✓Multiple source-specific datasets for LinkedIn, Indeed, and Glassdoor, each tens of millions of records
• ✓Flexible delivery: API scraper, pre-built datasets, and MCP server
• ✓Enterprise-grade infrastructure (99.99% uptime SLA) with automatic anti-detection
• ✓Multiple delivery destinations: S3, Google Cloud, Azure, Snowflake, SFTP
• ✓Good enterprise support with dedicated success managers and 24/7 support
• ✓Real-time scraping API with both sync (instant, up to 20 URLs) and async (batch, up to 5,000 URLs) modes
• ✓Pay-as-you-go from $1.50/1K records with no minimum commitment on scraper API, plus a 5,000-record monthly free tier
• ✓Webhook notifications when async scraping jobs complete, with delivery to S3/GCS/Azure/Snowflake

Considerations

• ℹFragmented data — Each source (LinkedIn, Indeed, Glassdoor) is a separate dataset with different schemas. There is no unified, deduplicated view across sources. You build the normalization and deduplication pipeline yourself.
• ℹHigh entry cost for datasets — Dataset minimum order is $250 (100K records at $0.0025/record). Monthly refresh subscriptions with initial payments of ~$23,048 for large snapshots. Only makes sense at multi-million-record scale.
• ℹLimited job filters compared to specialized platforms — Job scraping is constrained to each source's native capabilities. No cross-source advanced filtering like dedicated job intelligence platforms that offer 40+ filters across multiple sources.
• ℹLive scraping latency — The Jobs Scraper API scrapes data live rather than serving from a pre-indexed database, resulting in seconds-to-minutes response times versus sub-second from dedicated job data APIs.
• ℹLive scraping, not pre-indexed — Each API call triggers a real-time scrape of the target site, meaning response times are seconds to minutes rather than milliseconds. Not suitable for real-time applications or user-facing queries.
• ℹSource-specific endpoints — LinkedIn, Indeed, and Glassdoor each require separate scraper configurations. No unified job search across all sources in a single API call.

Pricing: Variable (free tier available)Bright Data →

4. SumbleSmall-scale signal-driven sales workflows needing person-level context alongside jobs

Sumble is an AI-powered sales intelligence platform built by Kaggle founders, offering person-level data, team mapping, and organizational hierarchy from job postings and LinkedIn profiles. While its people-focused approach is unique, many teams find its smaller company coverage (2.6M vs 13M+) and per-attribute credit billing constraining at scale.

Strengths

• ✓Combines job posts with LinkedIn-derived signals
• ✓ML-based title normalization grouping similar roles
• ✓Curated signal alerts with Slack integration
• ✓Find related hiring contacts for any job posting via the /jobs/find-related-people endpoint
• ✓Documented advanced query syntax covering technologies, technology categories, job functions, countries and hiring period
• ✓Versioned OpenAPI 3 spec with interactive Swagger UI, so typed clients can be generated for any language
• ✓Closed-company detection — organizations carry a status and status_reason, and search excludes defunct companies by default

Considerations

• ℹSmaller volume — ~1.8M jobs/month vs millions from leading providers.
• ℹAttribute-priced responses — every paid field on a job or organization adds a credit, so a query that returns rich records costs several times what the same query costs title-only. Budgeting requires modelling the field set, not just the row count.
• ℹLow rate limit — 10 requests per second across all endpoints, which can bottleneck high-volume integrations or parallel data pipelines.
• ℹHard offset cap of 10,000 results per query, so large result sets cannot be paginated through in full. Page size depends on the mode and the fields requested: search returns at most 200 per request, and list mode allows up to 1,000 jobs but drops to 200 when descriptions are requested and 25 when related people are.
• ℹNo first-party SDK — Sumble publishes an OpenAPI spec and generator instructions but ships no maintained client library for Python, JavaScript, or other languages.
• ℹJSON-only responses — no CSV or other format options from the API, requiring custom transformation for analytics workflows.

Pricing: $99/user/mo (free tier available)Sumble →

5. OxylabsEngineering teams building custom job scraping pipelines

Oxylabs is a web scraping infrastructure provider offering proxy services, scraper APIs, and custom datasets. While it has a dedicated Jobs Scraper API for Indeed and Glassdoor and pre-built Job Posting Datasets, it provides raw data collection tools — not pre-processed job intelligence. Teams must build parsers, deduplication, normalization, and filtering themselves.

Strengths

• ✓Dedicated Jobs Scraper API with support for Indeed, Glassdoor, and other job boards
• ✓Pre-built Job Posting Datasets with parsed fields (title, company, salary, location, seniority)
• ✓Bulk scraping of up to 5,000 URLs per batch with 10-100 req/s depending on plan
• ✓Built-in Scheduler for automated recurring scraping jobs using cron expressions at no extra cost
• ✓Cloud storage delivery to AWS S3, Google Cloud, Azure, and S3-compatible storage
• ✓177M+ proxy pool across 195 countries for geo-targeted job board scraping
• ✓Realtime and Push-Pull (async) integration methods — synchronous for small batches, async with callback URLs for large-scale scraping
• ✓Batch endpoint supporting up to 5,000 URLs per request with 10-100 req/s rate limits
• ✓Free Scheduler add-on for automated recurring job scraping with cron expressions and cloud storage delivery

Considerations

• ℹRaw scraping infrastructure, not job intelligence — Oxylabs provides tools to scrape job boards, not pre-processed job data. You build parsers, deduplication, normalization, and company matching yourself.
• ℹNo cross-source deduplication — Each job board is scraped independently. The same job posted on Indeed and Glassdoor appears as separate records, inflating storage and costs. You must build your own deduplication logic.
• ℹNo job-specific filters or enrichment — No filtering by technology mentioned, company size, industry, or hiring intent. You get raw HTML or basic parsed fields and must build the intelligence layer yourself.
• ℹDataset pricing starts at $1,000/mo — Job Posting Datasets require sales engagement and start at $1,000/month for standard plans, with custom plans priced higher.
• ℹRaw HTML or basic parsed output — API returns page HTML or simple parsed fields, not structured job intelligence. You must build normalization, deduplication, and enrichment yourself.
• ℹPer-result pricing varies by target — Indeed/Glassdoor scraping costs $0.75-1.35/1K results depending on JavaScript rendering needs, making large-scale job collection expensive without optimization.

Pricing: $49/mo (Web Scraper API) (free tier available)Oxylabs →

6. ProxycurlFetching job listings for known companies via API

Proxycurl was a B2B data enrichment API specializing in LinkedIn data extraction, including people profiles, company data, contact information, and job listings. It offered a developer-friendly REST API with credit-based pricing starting at $49/mo. Proxycurl shut down on July 4, 2025 after LinkedIn filed a federal lawsuit in January 2025 over unauthorized use of fake accounts to scrape member data.

Strengths

• ✓Job Listing and Job Profile endpoints for LinkedIn job data
• ✓Structured job data including title, description, location, employment type, and applicant counts
• ✓Low credit cost — 1-2 credits per job request at $0.009-$0.02 per credit
• ✓People and company enrichment APIs available alongside jobs for combined workflows
• ✓Simple REST endpoints — Job Listing (per company) and Job Profile (per job URL) with 1-2 credits per call
• ✓Structured JSON response with title, description, location, employment type, and applicant count fields

Considerations

• ℹLinkedIn-only job source — Proxycurl only extracted jobs from LinkedIn, missing postings from Indeed, Glassdoor, company career pages, and ATS platforms. Providers that aggregate from 353k+ sources capture significantly more jobs.
• ℹPer-company lookup model, not a search API — To get jobs, you needed a company's LinkedIn search ID first, then called the Jobs Listing endpoint per company. There was no way to search across all jobs by keyword, technology, or location in a single query.
• ℹService shut down July 2025 — Proxycurl ceased operations after LinkedIn filed a federal lawsuit in January 2025 over unauthorized data scraping via fake accounts.
• ℹPer-company lookup only — No cross-company job search endpoint. You needed a company LinkedIn ID first, then fetched its jobs. No way to query "all Kubernetes jobs in Berlin" in a single call.
• ℹNo webhooks or real-time alerts — API was request-response only. No push notifications when new jobs appeared.

Pricing: Shut down (was $49/mo)Proxycurl →

7. HirebaseDevelopers integrating fresh career-page listings into applications

Hirebase is a newer job data provider that scrapes company career pages and ATS platforms directly — deliberately skipping aggregator boards — and sells the data through a simple API with aggressive flat pricing at volume.

Strengths

• ✓4.2M+ active listings scraped directly from 300,000+ company career pages across 80+ ATS platforms
• ✓Sub-2-hour average data freshness — sources are scanned 12–24 times a day
• ✓Claimed 99.2% dedup accuracy (one listing per job) plus a filter to exclude recruiting-agency reposts
• ✓Semantic and neural search endpoints find roles by meaning, not just keywords
• ✓Simple API key auth (single x-api-key header), and page 1 of any search works without a key
• ✓Flat volume pricing — $249/mo covers 250k jobs with $1/1k overage, $999/mo is unlimited
• ✓Three search modes — structured keyword search, vector search, and hybrid neural search for natural-language job discovery
• ✓Company API alongside jobs — company search with firmographic filters, per-company job pulls, and market/company insight aggregations
• ✓Expired Jobs endpoint returns removals with a detection date, so a downstream database can be kept in sync
• ✓Free tier (500 jobs/month) and key-less first-page searches to evaluate before paying

Considerations

• ℹNo aggregator-board coverage — LinkedIn, Indeed, and Glassdoor are deliberately excluded, so roles advertised only on boards (and employers whose career page is not among the 300k indexed) never appear.
• ℹPull-only API — no webhooks or push delivery; staying current means polling the search and Expired Jobs endpoints.
• ℹRough edges in the API surface — several documented filters are marked "not currently applied", and the per-company jobs endpoint warns that consecutive pages may return overlapping jobs.
• ℹHistorical data (18M+ records back to 2023) is gated behind the Enterprise plan with custom pricing.
• ℹNo webhooks or push notifications — the API is pull-only, so teams must poll for new results rather than receive alerts when matching jobs appear.
• ℹSingle-company scoping — job search accepts one company_name/company_slug per request and the company-jobs endpoint takes one slug per call, so enriching an account list means one request per account at a 4 req/s rate limit.

Pricing: Free / $49/mo dashboard / $99/mo API (free tier available)Hirebase →

How to Choose the Right Job Posting API

Consider Your Primary Use Case

Key Questions to Ask

1. What sources do you need? If you only need LinkedIn, Coresignal or Proxycurl may suffice. For comprehensive coverage, TheirStack is the clear choice.

2. Do you need to filter by company attributes? If yes, choose TheirStack—most competitors don't support filtering jobs by company size, funding, or tech stack.

3. What's your budget? For cost-effective job data at scale, TheirStack offers the best value. Enterprise customers with unlimited budgets might consider Bright Data.

4. Do you need real-time updates? TheirStack updates every minute. Coresignal updates every 6 hours.

5. Do you need employee data? Only Coresignal offers comprehensive employee data alongside jobs.

Common Use Cases for Job Data APIs

1. Building Job Boards and Aggregators

Job data APIs power thousands of niche job boards worldwide. With the right API, you can:

• Backfill your board with relevant jobs instantly
• Keep listings fresh with real-time updates
• Offer advanced search and filtering to users

Learn more: How to Build a Profitable Niche Job Board

2. Sales Intelligence and Lead Generation

Job postings reveal buying intent. Companies hiring for specific roles often need related tools and services:

• A company hiring DevOps engineers likely needs cloud infrastructure
• A company posting sales roles is probably growing and may need sales tools
• Companies hiring for specific technologies need related services

TheirStack is particularly powerful here, letting you search companies by their job postings and their tech stack.

3. Market Research and Analytics

Understanding hiring trends provides valuable market insights:

• Track which technologies are gaining or losing adoption
• Monitor competitor hiring patterns
• Analyze salary trends and job requirements by role

4. Recruiting Tools and CRMs

Job data can power smarter recruiting workflows:

• Source companies with relevant open positions
• Track when target companies post new roles
• Set up webhooks to get notified of new job postings matching your criteria

Frequently Asked Questions

Conclusion

The best job posting API for you depends on your specific needs:

• For comprehensive coverage and best value: TheirStack offers the widest coverage (353k+ sources, 195 countries), advanced filtering, real-time updates, and competitive pricing.

• For LinkedIn + employee data: Coresignal combines LinkedIn jobs with detailed employee information.

• For enterprise scraping: Bright Data provides infrastructure for custom, large-scale data extraction.

• For simple job board backfill: Bright Data datasets or Oxylabs' scraper APIs cover gaps in your feed with large exports.

Most teams evaluating job data APIs find that TheirStack provides the best combination of coverage, features, and value—especially when you need data from multiple sources in a single, deduplicated view.

Ready to get started? Sign up for a free TheirStack account and start exploring job data today.