Best Job Datasets in 2026 (Compared)

Whether you're building a job board, training machine learning models, or analyzing hiring trends, access to high-quality bulk job data is essential. Unlike real-time job posting APIs that return results query-by-query, job datasets give you large volumes of structured job data for offline processing, analytics, and powering applications at scale.

In this guide, we compare the top job dataset providers in 2026, covering data volume, source diversity, freshness, pricing, and delivery options.

Quick Comparison: Top Job Datasets in 2026

Capability	TheirStack	Bright Data	Coresignal	Oxylabs	Hirebase	Sumble
📊Data volume	✅226M+ jobs, 195 countries	✅109.6M+ per snapshot (per source)	✅425M+ historical (LinkedIn-heavy)	⚠️Varies by source	⚠️Multi-source, volume varies	⚠️~1.8M jobs/month
🌍Source diversity	✅353k+ sources (boards + ATS + career pages)	⚠️Per-source datasets (LinkedIn, Indeed, Glassdoor)	⚠️Primarily LinkedIn	⚠️Per-source scraping	⚠️Multi-source (plan-dependent)	⚠️LinkedIn + job boards
🧼Deduplication	✅Built-in cross-source	❌DIY (separate datasets per source)	❌DIY	❌DIY	⚠️Varies	⚠️Basic
⚡Update frequency	✅Near real-time (minutes)	⚠️Scheduled snapshots	⚠️Every 6 hours	⚠️Configurable schedule	✅Real-time claims	⚠️Up to 24h delay
📦Export & delivery	✅API + CSV/JSON exports + webhooks	✅API + S3/GCS/Azure + custom pipelines	⚠️API only	✅API + cloud delivery + scheduling	⚠️API + exports	⚠️API only

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

Detailed Review of Each Job Dataset Provider

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. Bright DataBulk job data ingestion into data warehouses for analysis

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
• ✓109.6M+ job records available as pre-built datasets across LinkedIn, Indeed, and Glassdoor
• ✓Multiple delivery formats (JSON, NDJSON, CSV, Parquet) with cloud storage delivery (S3, GCS, Azure, Snowflake, SFTP)
• ✓Flexible refresh schedules: daily, weekly, monthly, quarterly, or custom — with up to 80% discount on monthly subscriptions

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.
• ℹ$250 minimum order — Even small data needs require a minimum purchase of 100K records at $0.0025/record, which is prohibitive for teams needing only thousands of records.
• ℹNo cross-source deduplication — Each source dataset (LinkedIn, Indeed, Glassdoor) is separate. The same job posted on multiple platforms appears as separate records in separate datasets.

Pricing: Variable (free tier available)Bright Data →

3. CoresignalBulk job data analysis and large-scale data ingestion into warehouses

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 dataset consolidates duplicate postings from job boards, company websites, and ATS platforms into single canonical records
• ✓468M+ historical job listings available as bulk flat files in Parquet or JSONL
• ✓Delivery to S3, Google Cloud, Azure, Databricks, or Snowflake at a daily, weekly, or monthly cadence

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.
• ℹDataset pricing starts at $1,000/month with custom quotes based on contract length, locations, and source tier — a much higher entry cost than the API plans
• ℹDeduplication only available in multi-source datasets — base (single-source) datasets still contain duplicates
• ℹNo self-serve dataset purchase — every dataset requires a sales conversation to configure

Pricing: $49/moCoresignal →

4. OxylabsBulk job data ingestion into data warehouses

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
• ✓Pre-parsed job posting datasets with structured fields (title, company, salary, location, seniority, industry)
• ✓Multiple delivery formats (CSV, JSON, Parquet, XML) to AWS S3, GCS, Azure, or S3-compatible storage
• ✓Flexible delivery frequency: one-time, monthly, quarterly, or custom schedules for enterprise

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.
• ℹStarts at $1,000/mo and requires sales engagement — no self-serve dataset purchase available for job data
• ℹLimited to 3 sources (Indeed, Glassdoor, StackShare) — misses company career pages, niche job boards, and ATS platforms that broader aggregators would capture

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

5. HirebaseBulk pulls of current career-page listings on a flat budget

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
• ✓Export API delivers CSV or NDJSON files sized by the same filters as search, included in every paid API plan
• ✓Flat plan pricing makes bulk cost predictable — 250k jobs/month at $249 or unlimited at $999

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.
• ℹExports are one-off async tasks — submit, poll the task status, download from a temporary URL; recurring feeds and warehouse delivery (S3, datasets) exist only as Enterprise custom options.
• ℹHistorical depth is Enterprise-gated — self-serve exports draw on the live index, while the 18M+ archive back to 2023 requires a custom contract.

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

6. SumbleEnterprise teams already using Snowflake or Databricks who can negotiate a custom data-sharing contract

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
• ✓Enterprise tier offers Snowflake Share and Databricks integration for direct warehouse delivery
• ✓Blob storage delivery available for enterprise customers needing bulk data drops

Considerations

• ℹSmaller volume — ~1.8M jobs/month vs millions from leading providers.
• ℹSelf-serve export is capped at 10,000 rows per session and there is no scheduled data dump — bulk volumes have to go through the API, whose own offset cap is 10,000 per query.
• ℹNo dedicated dataset product — unlike providers offering pre-built downloadable datasets, Sumble requires enterprise contracts for any bulk data delivery.
• ℹWarehouse integrations (Snowflake, Databricks) are enterprise-only with opaque pricing — no self-serve path to bulk data.

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

How to Choose the Right Job Dataset

Consider Your Primary Use Case

Key Questions to Ask

1. How much data do you need? For small projects or prototyping, TheirStack's free tier may suffice. For full-scale snapshots of a single source, Bright Data delivers massive volumes.

2. Do you need deduplicated data? If you're combining data from multiple sources, deduplication is critical. TheirStack is the only provider that deduplicates across all sources automatically — others require you to build your own pipeline.

3. How fresh does the data need to be? For sales intelligence, near real-time matters. For annual market research, monthly snapshots may work. TheirStack updates every minute; Bright Data offers scheduled snapshots.

4. What's your budget? TheirStack starts free and scales from $49/month. Bright Data requires ~$23,000 upfront for a single-source dataset. Factor in engineering time for deduplication and processing with raw data providers.

5. Do you need company enrichment? TheirStack enriches each job record with company firmographics (size, industry, funding, tech stack). Others provide raw job data without company context.

Common Use Cases for Job Datasets

1. Building Job Boards and Aggregators

Job datasets are the fastest way to populate a niche job board with relevant listings:

• Backfill your board with thousands of jobs instantly
• Keep listings fresh with regular data refreshes
• Filter by industry, location, or skill to match your niche

Learn more: How to Build a Profitable Niche Job Board

2. Machine Learning and NLP

Job datasets power a wide range of ML applications:

• Skill extraction: Train models to identify required skills from job descriptions
• Salary prediction: Build models that estimate salaries based on role, location, and requirements
• Job matching: Create recommendation engines that match candidates to openings
• Labor market forecasting: Predict hiring trends by analyzing posting volume over time

3. Market Research and Analytics

Bulk job data enables deep labor market analysis:

• Track which technologies, skills, and roles are growing or declining
• Compare hiring patterns across industries, geographies, and company sizes
• Monitor competitor hiring activity to understand strategic priorities
• Analyze salary trends and compensation benchmarks

4. Sales Intelligence

Job postings are powerful buying signals. Companies hiring for specific roles often need related tools:

• A company hiring data engineers likely needs data infrastructure
• A company posting DevOps roles is probably scaling their cloud infrastructure
• Companies hiring for specific technologies need related services

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

Frequently Asked Questions

Conclusion

The best job dataset for you depends on your specific needs:

• For comprehensive, deduplicated coverage: TheirStack aggregates from 353k+ sources with built-in deduplication, company enrichment, and near real-time updates — starting free.

• For massive single-source snapshots: Bright Data delivers full-scale datasets from individual job boards, ideal for enterprises with custom data pipelines.

• For LinkedIn job data + employee profiles: Coresignal combines LinkedIn-derived job data with employee and company enrichment.

• For DIY scraping infrastructure: Oxylabs provides the proxy and scraper infrastructure to build your own job data pipeline.

Most teams find that TheirStack provides the best balance of coverage, quality, and value — especially when you factor in built-in deduplication and company enrichment that other providers leave to you.

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