Know where the jobs originate
JOB POSTING DATA PROVIDERS / 2026
Compare job posting data providers forthe jobs you actually need.
Broad platforms index the visible job market at enormous scale. Specialist providers solve a different problem: precise sources, roles or buyers the broad index does not prioritize. Compare eight providers—and see why fragmented blue-collar employer pages deserve their own data layer.
RESEARCH UPDATED / 09 AUG 2026
BUYER SHORTLIST8 PROVIDERS
01
PROVIDERS REVIEWED8
Broad aggregators, labor-market platforms and direct-employer specialists.
02
COMPARISON BASISUsable records
Sources, market fit, delivery, history, price and downstream work.
03
EVIDENCE STANDARDFirst-party
Vendor facts are attributed to official product, pricing and developer pages.
04
PUBLISHER DISCLOSUREBCJD included
Our specialist model is compared with the same buyer criteria and source ledger.
CHOOSE BY SOURCE / FIT / USABLE RECORD
Include fragmented small-employer pages
Ignore vanity database totals
Bulk, API, feeds, apps or MCP
01 / SELECTION LOGIC
Start with sources and scope, then compare access and price.
Choose a broad provider such as TheirStack, Jobfeed, Lightcast, Coresignal or Job Data Feeds when country breadth, historical scale, established taxonomies or mature delivery infrastructure matter most. Choose a direct-career-page specialist such as People Data Labs when employer-origin sources are central to the use case.
Choose Blue Collar Job Data when the workflow begins with blue-collar roles, smaller employers and fragmented public pages—including non-ATS routes that are hard to turn into structured data. Scope a market and role set, inspect the source-linked sample, then pay for the records delivered through the appropriate bulk, API or MCP path.
02 / PROVIDER MATRIX
Eight approaches to job posting data.
Vendor claims below are attributed, not independently audited. Product tiers can differ materially inside the same company; verify the exact feed, entitlement, country and refresh method in a sample or contract.
| Provider | Source model | Geography / scale | Delivery | Pricing visibility | Best fit / caveat |
|---|---|---|---|---|---|
| TheirStack | Job boards plus ATS and company career sites; normalized and deduplicated | Vendor says 195 countries and 352k sources | App, REST API, webhooks, MCP, CSV and Parquet | Public free tier; API from $59/month; bulk quoted | Broad sales and jobs intelligence; not a pure direct-employer dataset |
| JobDigger | Job boards, staffing sites, corporate careers, MKB pages and documents | Netherlands, Belgium, Germany, France and Austria | Insights UI, custom files, Search API, job-board delivery and ATS integrations | Demo, requirements discussion and custom quote; no public per-record Data/API price | Mature European recruiter and LMI platform; access is sales-led and not blue-collar-specific |
| Jobfeed / Market IQ | Boards, agencies and employer sites; merged, deduplicated and enriched | 15 major markets; vendor says 3B+ current and historical postings | Portal, search API and daily S3 JSONL feeds | Product page says from €100/month; enterprise feed quoted | Established multi-market LMI and taxonomy layer; entry price is not a bulk-feed quote |
| Lightcast | Aggregated postings cleaned, deduplicated and enriched with skills and occupation taxonomies | Vendor says 165+ countries | API, Snowflake and analytics products | Quote | Enterprise LMI and taxonomies; breadth does not mean equal country completeness |
| Coresignal | Base single-source product or Multi-Source boards, websites and ATS data | Worldwide; vendor says 468M+ postings | Search and collect APIs plus bulk JSON, CSV, JSONL and Parquet | API from $49/month; datasets custom / from $1,000 | Flexible developer access; buyers must distinguish Base from Multi-Source |
| Techmap / Job Data Feeds | 127+ ATS pages, boards, aggregators, employment offices and LinkedIn | Vendor says 250 countries and 406M+ postings since 2020 | API, XML, CSV, JSON, Parquet and daily cloud feeds | $1 per 1,000 API records; country feeds from $200/month | Transparent broad mixed-source feed; competitor comparisons are vendor-authored |
| People Data Labs | Job postings directly from employer career pages | Global; vendor says 54k+ companies and 28.8M jobs | Beta Search API, licensed feed and daily S3 deltas | Consultation / pay-per-record; job price not public | Direct-employer input; product is explicitly beta and history begins in 2024 |
| Blue Collar Job Data | Fragmented public employer pages, including non-ATS routes, with a blue-collar and small-employer focus | 21,533 NL records plus a separately qualified 1,030-record US pilot snapshot | Scoped CSV / JSON data, API delivery and a job-posting MCP beta | Pay for records delivered; start with a bounded slice rather than an annual platform contract | Specialist source-linked input for staffing, job boards, AI products and research |
Amounts and scale claims are vendor-published values checked on 09 August 2026. Broad providers also collect employer career sites; the BCJD difference is a purpose-built small-employer blue-collar focus, not a claim that every record is absent elsewhere. Request a matched sample.
03 / BUYING CRITERIA
Six questions prevent most provider-selection mistakes.
Where did the posting originate?
A board, ATS, company career page and reseller feed can represent different evidence and duplication risk.
Which market and role family is deep?
Global availability is not proof of equal completeness for a trade, town or small-employer segment.
What do freshness fields mean?
Ask how first seen, last seen, modified, expired and removed states are observed and delivered.
Which values are source facts or inference?
Separate preserved fields, deterministic normalization and model-assisted classification in the schema.
Can the data fit the workload?
Search APIs, incremental feeds, bulk history and analytics interfaces solve different engineering problems.
Can you use and retain it?
Review licensing, redistribution, retention, provenance, personal-data handling and source-link requirements.
04 / WHO BUYS JOB DATA
The buyer is not always an enterprise labor-market team.
When access can begin with a precise record set, specialist job data becomes useful to smaller teams and focused products—not only institutions buying an all-market intelligence platform.
Lead generation
Identify employers showing active demand in the trades and territories a desk serves.
Specialist inventory
Add relevant employer vacancies to a vertical board while retaining source context.
Search and agents
Ground semantic discovery and conversational job search in structured, source-linked records.
Data-powered features
Build alerts, employer intelligence and hiring-demand features into a focused product.
Long-tail evidence
Study demand among smaller employers with observation and source fields attached.
Small experiments
Prototype a niche board, dataset or MCP workflow before committing to large recurring volume.
05 / SHORTLISTS BY NEED
There is no single “best” provider—only a best-fit shortlist.
A matched bake-off is more useful than eight sales demos. Give every shortlisted provider the same country, role groups, date window and output fields. Measure source validity, usable unique records, false positives, field completeness, lifecycle behavior and the cost of the records your workflow actually retains.
- For established global labor-market intelligence: compare Lightcast, Jobfeed / Market IQ and the appropriate Coresignal tier.
- For developer-first jobs and sales intelligence: compare TheirStack, Coresignal and Techmap / Job Data Feeds.
- For European recruiter leads and market mapping: evaluate JobDigger and Jobfeed / Market IQ.
- For a direct employer-career-page input: evaluate People Data Labs and inspect its beta status and history window.
- For a blue-collar and small-employer layer with a record-based starting scope: evaluate Blue Collar Job Data against a matched market sample.
06 / EVALUATION METHOD
Run a small evidence test before negotiating scale.
- Write one target definition: country, role families, employer types and date window.
- Request a time-bounded sample from each provider under comparable terms.
- Manually inspect a random sample against the original source where permitted.
- Measure duplicates within the feed and overlap across providers.
- Separate unavailable fields from wrong fields and inferred fields.
- Price the usable unique records and ongoing operational effort, not the headline database size.
DECISION GUIDE
Choose breadth—or choose the overlooked layer on purpose.
A specialist source layer can stand alone for a focused workflow or add small-employer depth to a global platform. It does not need to replace every taxonomy and market to be valuable.
Choose breadth first when…
- You need many countries in one contract.
- Long historical series and mature taxonomies are core requirements.
- Published APIs, feeds and enterprise workflows must already exist.
- The use case spans many industries and job families.
Choose a specialist layer when…
- Blue-collar and smaller employer sources are strategically important.
- You want inspectable public source context.
- A staffing, job-board, AI or research product needs a focused input.
- You want to start with and pay for a defined set of records.
FAQ
Questions buyers ask before they choose.
The short answers are visible in the page; the evidence is listed below.
01What is a job posting data provider?
It collects or licenses job-listing evidence and delivers structured records through an API, feed, dataset or analytics product. Providers differ in source types, geography, taxonomy, lifecycle logic and usage rights.
02Which job posting data provider is best?
There is no universal winner. Global LMI, developer APIs, recruiter leads, direct-employer sources and blue-collar specialist coverage are different jobs. Define the workload and test a matched sample.
03Should I choose an API or bulk job dataset?
Use an API for narrower query-based retrieval and product workflows. Use bulk or incremental feeds for warehouses, research, model training and reproducible analysis at larger volume.
04Does the biggest job database have the best coverage?
Not necessarily. Headline scale can include history, repeated sources, countries or job families outside your scope. Measure valid, usable and unique records in your target slice.
05Do job posting data providers only collect ATS jobs?
No. Several providers in this comparison combine boards, ATS platforms and employer career sites; JobDigger also describes smaller-business pages and documents. Blue Collar Job Data differs by making fragmented blue-collar and small-employer pages—including non-ATS routes—the primary collection thesis rather than claiming other providers never see them.
06Can a small team buy job posting data by record?
Yes. Some providers use credits or per-record economics. Blue Collar Job Data scopes access around the job records delivered, so a staffing desk, niche board, AI builder or researcher can begin with a bounded role and market instead of an annual platform contract.
07Why is Blue Collar Job Data included in its own comparison?
The page is published by Blue Collar Job Data because buyers search for a transparent shortlist. That conflict is disclosed, the company is not ranked first, primary sources are linked and product limitations are stated alongside vendor strengths.
SOURCE LEDGER
What this page is based on.
Product facts were checked against the linked first-party sources. Blue Collar Job Data findings use the 08 August 2026 internal snapshot and the methodology stated on this site.
- TheirStack data and access
Source, geography, volume and collection claims; pricing and access were cross-checked on official pages.
- JobDigger Data
Markets, product use cases, feed options and history claims.
- JobDigger data delivery and Search API
Custom CSV / JSON / XML files, Search API and job-board delivery options.
- Textkernel Jobfeed / Market IQ
Market coverage, product scale, portal and starting-price claims.
- Lightcast Global Job Postings API
Global postings product, refresh model and delivery documentation.
- Coresignal Jobs Data API
Base and Multi-Source product distinction, formats and scale claims.
- Techmap Job Data Feeds
Sources, schema, delivery formats, countries and historical scope.
- People Data Labs job posting data
Direct-employer source model, beta status and claimed dataset size.
- Blue Collar Job Data methodology
Publisher’s current source, observation and disclosure model.
- Dutch job-board coverage study
Original n=174 evidence for the wider small-employer visibility problem; not a provider-specific overlap study.
NEXT STEP
Start with the records your workflow actually needs.
Tell us the country, blue-collar roles, date window and intended workflow. Inspect a representative sample, compare the usable records and scale the data only when it earns the job.