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 | ⚠️LinkedIn-heavy | ⚠️Per-source datasets | ⚠️LinkedIn jobs + signals | ⚠️Scraper API + datasets | ⚠️LinkedIn-focused | ⚠️Multi-source (plan-dependent) | |
| 🧼Deduplication | ❌DIY | ❌DIY | ⚠️Basic (limited dedup) | ❌DIY | ❌DIY | ⚠️Varies | |
| ⚡Freshness | ⚠️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 | ⚠️Limited | ⚠️DIY | ⚠️7 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 + intentTheirStack 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
- ✓Detects backend and internal technologies (databases, DevOps, ERPs) from job postings — not just web-facing tech
- ✓Hiring signals act as buying intent — know what companies are investing in, not just using
- ✓Global coverage: 187M+ job postings analyzed from 195 countries, sourced from 327k+ sources
- ✓Real-time updates every minute — catches new technology adoptions as soon as companies post jobs
- ✓Built-in deduplication across all 327k+ sources — the same job posted on multiple platforms counts once, saving credits and eliminating noise
- ✓Single fast API with 40+ filters, webhooks, and sub-second response times
- ✓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 technographic and 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 $59/mo and one-time purchases available — no subscription required
Considerations
- ℹTechnology detection relies on active hiring — companies not posting jobs may have less coverage — TheirStack's detection method depends on companies publishing job postings that mention technologies. Companies in hiring freezes or very small teams that rarely post jobs may have less coverage compared to website scanning approaches.
2. CoresignalData engineers building custom job data pipelines via APICoresignal is a B2B data infrastructure provider known for its LinkedIn-derived datasets of companies, employees, and job postings. While it offers rich people data, many teams find its LinkedIn-only job source, lack of deduplication, high per-record costs, and 6-hour update lag limiting.
Strengths
- ✓349M+ LinkedIn job posting database
- ✓Bulk Collect endpoints for batch retrieval of job records by ID list or filter
Considerations
- ℹLinkedIn-only source — Misses jobs posted only on Indeed, Glassdoor, or company career pages.
- ℹNo deduplication and high costs — Coresignal doesn't deduplicate job listings across sources, which means the same job posted on multiple platforms appears as separate records — inflating your costs. At $294 for 1,500 jobs up to $7,000 for 1M jobs, it's 3-8x more expensive per job record than alternatives that include deduplication.
- ℹSlow update cycle — Coresignal's data updates every 6 hours, compared to near-real-time (minutes) updates from alternatives. For teams that need to act quickly on new job postings — like sales teams reaching out to companies that just started hiring for a specific role — this lag can mean missing the window of opportunity.
- ℹLimited API and no UI — Coresignal's API requires a 2-endpoint flow (search then fetch) with credits that reset monthly without rollover. There's no user interface for exploration or ad-hoc queries. Teams that want both API access and a UI for interactive research need to look at alternatives that offer both.
- ℹ2-endpoint API flow — search returns job IDs, then a separate collect call per ID is needed to get full records. This doubles the number of API calls and credits consumed compared to APIs that return complete data in a single request.
- ℹNo user interface — API-only product with no UI for exploration. Sales and non-technical teams cannot query jobs without engineering resources.
- ℹSeparate credit pools — Search and Collect credits are billed independently, and monthly credits do not roll over. Heavy search usage can exhaust your Search credits even if Collect credits remain.
3. Bright DataEngineering teams building custom job data pipelines with real-time scrapingBright 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 4-5 minute response times compared to pre-indexed APIs.
Strengths
- ✓Multiple source-specific datasets (LinkedIn 57.8M+, Indeed 46.8M+, Glassdoor)
- ✓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
- ✓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.
4. SumbleSmall-scale signal-driven sales workflows needing person-level context alongside jobsSumble 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 (2.7M vs 9.5M+), 24-hour data lag, and limited API filters constraining.
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
Considerations
- ℹSmaller volume — ~1.8M jobs/month vs millions from leading providers. Up to 24h freshness lag.
- ℹLimited API filters — the Jobs /find endpoint exposes only 4 filters (technologies, technology categories, countries, since date), compared to 40+ from alternatives. This makes it difficult to create targeted queries combining multiple criteria like industry, company size, and geography.
- ℹLow rate limit — 10 requests per second across all endpoints, which can bottleneck high-volume integrations or parallel data pipelines.
- ℹSmall result pages — maximum 100 results per request with a hard offset cap of 10,000, making it impractical to paginate through large result sets.
- ℹPro plan caps signals at 20 per day and 9,900 credits per month — enterprise plan required for any meaningful scale.
- ℹNo SDK or client library — all integrations require raw HTTP calls with no official wrappers for Python, JavaScript, or other languages.
- ℹJSON-only responses — no CSV or other format options from the API, requiring custom transformation for analytics workflows.
5. OxylabsEngineering teams building custom job scraping pipelinesOxylabs 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.
6. ProxycurlFetching job listings for known companies via APIProxycurl 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 327k+ 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.
7. HirebaseDevelopers integrating fresh job listings into applicationsHirebase is a newer job data provider focusing on real-time job market intelligence with global coverage and a modern API design.
Strengths
- ✓2M+ live job postings scraped directly from company career pages, updated within 24 hours
- ✓AI-powered spam filtering removes ~60% of expired or fake listings before they reach the API
- ✓DeepSearch semantic vector search (POST /v2/jobs/vsearch) finds roles by meaning, not just keywords
- ✓Simple API key auth with no OAuth complexity — single x-api-key header for all endpoints
- ✓One-time export purchases available (CSV/JSON) from $0.02/job with no subscription required
- ✓Two search modes — keyword search (POST /v2/jobs/search) and semantic DeepSearch (POST /v2/jobs/vsearch) for natural-language job discovery
- ✓Simple API key authentication with no OAuth flow — all requests use a single x-api-key header
- ✓Free tier with 10 API calls/day to evaluate before committing to a paid plan
Considerations
- ℹSmaller scale — 2M+ live jobs from 33,000+ companies vs providers aggregating from 50+ sources with 100M+ total jobs. Coverage gaps are likely in non-US markets and niche industries.
- ℹMinimal company-level filters — Job search only accepts company_name, company_slug, and company_keywords. No filtering by industry, company size, funding stage, or technology stack — limiting its usefulness for targeted prospecting.
- ℹNo technographic detection — Hirebase provides raw job postings but does not extract, normalize, or map technologies to companies. Teams needing tech stack intelligence need a separate provider.
- ℹ24-hour update cycle — Data freshness is within 24 hours, compared to near-real-time (minutes) from alternatives. For time-sensitive sales outreach triggered by new job postings, this lag can matter.
- ℹLimited company filters — Only company_name, company_slug, and company_keywords accepted. Cannot filter by industry, company size, revenue, funding, or technology stack — requiring post-processing for targeted prospecting workflows.
- ℹNo webhooks or push notifications — API is pull-only, so teams must poll for new results rather than receiving real-time alerts when matching jobs appear.
How to Choose the Right Job Posting API
Consider Your Primary Use Case
| Use Case | Recommended API |
|---|---|
| Building a comprehensive job board | TheirStack |
| Sales intelligence & lead generation | TheirStack |
| Market research & analytics | TheirStack |
| Employee data + jobs | Coresignal |
| Job board backfill | TheirStack |
Key Questions to Ask
-
What sources do you need? If you only need LinkedIn, Coresignal or Proxycurl may suffice. For comprehensive coverage, TheirStack is the clear choice.
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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.
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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.
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Do you need real-time updates? TheirStack updates every minute. Coresignal updates every 6 hours.
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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:
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For comprehensive coverage and best value: TheirStack offers the widest coverage (327k+ sources, 195 countries), advanced filtering, real-time updates, and competitive pricing.
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For LinkedIn + employee data: Coresignal combines LinkedIn jobs with detailed employee information.
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For enterprise scraping: Bright Data provides infrastructure for custom, large-scale data extraction.
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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.