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Canaria

How Canaria compares to other job market data providers

A side-by-side look at what each provider actually delivers.

Looking for a shortlist by use case? See the 13 best job posting data providers in 2026. Buyer guides: pricing, where to buy, Coresignal alternatives, Lightcast alternatives.

✓ships this●partial / undisclosed—not in public documentation
CanariaLightcastRevelio LabsLinkUpCoresignalBright Data
Best For
Who each provider actually fits. Pick by use case, not by feature checklist.
Quant funds and HR tech needing job classification, salary, and skills enrichment without enterprise contracts. Includes vertical extensions for healthcare staffing.
Government, academic, and Fortune 500 workforce planning. Strongest taxonomy cross-walks and broadest global breadth.
Investor signals, workforce dynamics, transitions, and diversity analytics, built on postings plus professional profile data.
Economic research and macro hedge funds. Used as a JOLTS proxy on single-source employer-site purity.
AI training data, developer-focused enrichment, and self-serve API users at a low entry price.
Bulk scraped web data for any vertical. Horizontal data infrastructure, not labor-specific.
Unique jobs after deduplication
Apples-to-apples volume after duplicates removed. Headline counts can mix sources.
✓400M+ unique of 1B+ postings (10B+ observations ingested)
Measured on the histdbJul15 build: 1,011,115,180 gross job postings, of which 433,666,433 (42.89%) are unique after semantic deduplication. Those postings are the unique links distilled from 10B+ raw link observations ingested upstream. This column reports the unique count, not gross volume or raw scrape.
●Volume not separately disclosed (18B+ aggregate data points)
As of 2026-05-26: Lightcast reports 18B+ aggregate labor market data points across postings, profiles, and compensation, drawn from 220K+ sources. Canonical post-dedup posting volume is not separately disclosed.
●5B+ COSMOS observations (canonical count not published)
As of 2026-05-26: Revelio's COSMOS publishes a 5B+ figure that combines current and historical postings across 1M+ employer websites and job boards before single-canonical reconciliation. Canonical-unique count is not published.
✓350M+ (single-source, no cross-source dedup needed)
As of 2026-09-15: 350M+ postings indexed since 2007 from 86,000 companies' own career sites across 195 countries. Single-source (employer ATS only), so canonical and observed counts converge.
●482M+ multi-source clustered
As of 2026-09-15: 482M+ job-posting records sourced across LinkedIn, Indeed, Glassdoor, and other public sites. Records are clustered under a unified job_id; no separate canonical-unique count is published.
●127M+ records (no canonical dedup documented)
As of 2026-09-15: 127.1M+ across four prebuilt jobs datasets. Its documentation does not describe reducing records to one canonical row per job.
Historical Coverage
How far back the archive goes. Matters for trend analysis, backtests, and longitudinal studies.
●2022-present
As of 2026-05-26: Canaria's posting archive starts in 2022. Sources refresh daily to hourly; customer tables rebuild via atomic snapshot monthly.
✓US 2010+, Global 2019+
As of 2026-05-26: US postings since 2010; global postings since 2019. 25+ years of labor market data classification expertise overall.
●Postings 2021+, profiles 2007+
As of 2026-05-26: COSMOS job postings begin 2021. Adjacent products go deeper: workforce dynamics 2007+, transitions 2008+, individual profiles 2008+.
✓2007-present
As of 2026-09-15: continuous daily indexing since 2007 from 86,000 companies' career sites in 195 countries. One of the deepest archives in the industry.
●~2020-present
As of 2026-05-26: Historical job-posting coverage from approximately 2020. Coresignal also exposes a Historical Headcount API on the Premium tier.
●~2020-present
As of 2026-05-26: Historical depth not consistently documented across listings; typically marketed as recent multi-year archives plus daily refresh.
Geographic Coverage
What countries you actually get data for. Critical if you have a non-US footprint.
✓US-primary, plus 243 other countries and territories
As of 2026-09-15: 94% of postings are US; 36M+ unique postings come from 243 other countries and territories, led by Canada, the UK, India, Brazil, France and Germany, and non-US volume passed 11M unique postings in 2025. Salary benchmarks are US-only.
✓165+ countries
As of 2026-05-26: 165+ countries covering ~99% of global GDP. Expanded from 41 to 165+ countries in early 2026 (300% footprint increase). Source: lightcast.io.
✓~150 countries
As of 2026-05-26: Global workforce database covering ~150 countries via profile and posting aggregation.
✓195 countries
As of 2026-09-15: 195 countries, from 86,000 companies' career sites. Coverage varies by employer ATS adoption per country.
✓Global
As of 2026-05-26: Global reach from LinkedIn and aggregator sources.
✓Global
As of 2026-05-26: Horizontal scraping platform with global IP infrastructure; coverage follows whichever job boards or career sites are scraped.
Skills Taxonomy
Whether skills are normalized to stable IDs or shipped as raw text. Affects every downstream skill query.
✓39K+ skills, 3.3K certs, 220+ licenses, 250+ soft skills
As of 2026-08-24: 39,000+ technical skills, 3,300+ certifications, 220+ professional licenses, and 250+ soft skills, 43,000+ canonical entries in total. Built from 120K+ surface-form variants; ships with co-occurrence and monthly trends.
✓34,000+ Open Skills
As of 2026-05-26: 34,000+ Open Skills updated every two weeks. Organized into 31 categories and tied to the Lightcast Occupational Taxonomy. ~13 skills extracted per posting on average.
✓Proprietary (size not disclosed)
As of 2026-05-26: Proprietary skills taxonomy derived from billions of titles, descriptions, skills, and activities. Canonical skill count not publicly published.
●Skills via partner add-on
As of 2026-05-26: LinkUp describes RAW as an unenriched feed; skills analytics are offered through the Compass dashboard and partner integrations rather than a published canonical taxonomy.
—No canonical taxonomy documented
As of 2026-05-26, per its public documentation: required skills are strings extracted from postings; it does not describe canonical skill IDs, a certifications taxonomy or soft-skill separation.
—No taxonomy documented
As of 2026-05-26, per its public documentation: fields are delivered as scraped; it does not describe skill normalization, a canonical taxonomy or certification segmentation.
Job Classification
Standardized occupation and industry codes attached to every posting. Required for any rollup or cross-walk.
✓Occupation, industry, and government code mapping (industry code on 88.77% of postings)
As of 2026-05-26: SOC 6-digit using title plus description context (93% top-5, 73% top-1 across 867 codes), O*NET tags, and a NAICS-2022 four-column rollup (sector, industry group, 6-digit code, title) resolved per employer and carried onto job, company, and place records: a 6-digit industry code on 88.77% of postings and a sector on 90.65%.
✓Broadest cross-walk coverage (proprietary + government codes)
As of 2026-05-26: Lightcast Occupational Taxonomy (LOT) as the primary spine; mapped to SOC, O*NET, ISCO-08, ESCO, and NAICS 2-6 digits. Strongest cross-walk coverage in the market.
✓Proprietary role clusters and company industry codes
As of 2026-05-26: ~1,500 proprietary role clusters. Companies mapped to NAICS, SIC, GICS, and Revelio's own RICS codes. Skills sit on a separate proprietary spine.
✓Government occupation and industry codes
As of 2026-05-26: O*NET-SOC tagging via the GlobalData internal system (LinkUp historically cited 85%+ accuracy). NAICS attached at the company level.
—No standardized codes documented
As of 2026-05-26, per its public documentation: it does not describe occupation or industry classification codes; industry and function appear as text from the source sites.
—No standardized codes documented
As of 2026-05-26, per its public documentation: it does not describe SOC, NAICS, O*NET, ISCO or GICS mapping.
Worker Classification (W2 / 1099 / C2C)
Tax-class breakdown of postings. Essential for staffing platforms and contract-vs-perm market sizing.
✓W2 / 1099 / C2C / statutory
As of 2026-05-26: Canaria classifies each posting as W2, 1099, C2C (corp-to-corp), or statutory-employee. Useful for staffing platforms, IRS-class-aware quant signals, and contract-vs-perm market sizing.
—Not documented
As of 2026-05-26, per its public documentation: no W2 / 1099 / C2C classification is described.
—Not documented
As of 2026-05-26, per its public documentation: COSMOS distinguishes contract work and internships at a coarse level; a W2 / 1099 / C2C breakdown is not described.
—Not documented
As of 2026-05-26, per its public documentation: no worker tax classification is described for LinkUp RAW.
—Not documented
As of 2026-05-26, per its public documentation: no worker tax classification is described.
—Not documented
As of 2026-05-26, per its public documentation: no worker tax classification is described.
Salary Methodology
Whether salary is posted, predicted, or fused from multiple sources. Drives accuracy and EU Pay Transparency posture.
✓3-source fusion, 95% CI per cell, 99% BLS-backed
As of 2026-05-26: Three-leg fusion of employer-posted + employee-reported (Glassdoor) + BLS OES via inverse-variance weighting. 44K+ SOC x state cells, 99% BLS-backed, 52% Glassdoor-supplemented, 95% CI on every cell.
●Posted salary (no modeled estimates documented)
As of 2026-05-26: Lightcast describes extracting advertised salary ranges from postings, with no modeled estimates described. Hourly-to-annual conversion uses country-specific work hours; FX refreshed roughly every 4 weeks.
✓Predicted (model ensemble)
As of 2026-05-26: Modeled compensation trained on H-1B, Glassdoor, and posting data using an XGBoost + BART ensemble. Salary Board acquisition (May 2025) expanded global comp coverage.
●Posted + Revelio modeled add-on
As of 2026-05-26: LinkUp RAW carries posted salary fields when present. Modeled salary available through Compass partner integrations rather than the base feed.
●Posted salary as captured
As of 2026-05-26, per its public documentation: salary is captured as a text field when the posting includes one; it does not describe a salary model, benchmark cells or confidence intervals.
●Posted salary as captured
As of 2026-05-26, per its public documentation: the salary range is captured from the job ad text when present; it does not describe a prediction model or benchmark grid.
Deduplication & Identity
How they collapse duplicate listings, and whether posting IDs persist across deliveries (critical for longitudinal use).
✓Two-stage (exact + semantic) with stable jobID across refreshes
As of 2026-05-26: Two-stage dedup: exact key match, then vector similarity + locality-sensitive hashing + graph-based transitive matching. 40-60% dedup rate across multi-source ingest. Five written identifier-stability contracts: jobID persists across refreshes; companyID, locationID, skillID, and SOC code all stable across deliveries.
✓Cross-source 60-day window (~80% dedup rate)
As of 2026-05-26: Two-step pipeline. Up to 80% of collected postings are deduplicated. Cross-source matching uses normalized title + company + location across a rolling 60-day window. Cross-delivery posting-ID stability is not publicly documented.
✓Dynamic similarity matching
As of 2026-05-26: Revelio markets a dynamic deduplication model rather than rigid rule-based dedup. Specific signal weights, thresholds, and posting-ID stability behavior across deliveries are not publicly disclosed.
✓Single-source purity (no dedup needed)
As of 2026-05-26: LinkUp sources exclusively from employer career sites, so there is no cross-source duplication to resolve. Job IDs derive from employer ATS records, which are stable per employer source.
●Multi-source clustered under unified job_id
As of 2026-05-26: Postings clustered into a unified job_id across LinkedIn, Indeed, Glassdoor, and other sources. Clustering algorithm is not publicly disclosed in detail; cross-delivery job_id stability not separately documented.
●Multi-source dedup (method not published)
As of 2026-05-26: Bright Data does not publish a deduplication methodology for its jobs datasets. Listings emphasize freshness and validation rather than canonical dedup or stable IDs.
Quality Flag Per Field
Whether each enriched field carries its own confidence score. Lets buyers filter on quality in queries.
✓Per-field confidence scores, calibrated for occupation, industry and title
As of 2026-05-26: Occupation code, industry code and normalized title ship a confidence score calibrated to the probability the value is correct, so buyers can filter on quality directly in queries. Seniority, employment type and work mode ship the model's raw score, useful for ranking rather than as a success rate.
●Methodology disclosed; no per-row score documented
As of 2026-05-26: Lightcast publishes methodology and quality KPIs (skills coverage, classification accuracy); its documentation does not describe a confidence score on each enriched field in the data feed.
—No per-field score documented
As of 2026-05-26, per its public documentation: it does not describe per-field confidence scores on COSMOS records or a published confidence interval per salary estimate.
—No per-field score documented
As of 2026-05-26, per its public documentation: it does not describe per-field confidence in LinkUp RAW; Compass quality framing is at the aggregate level.
—No per-field score documented
As of 2026-05-26, per its public documentation: it does not describe per-field confidence scores; documented quality signals are source attribution and last-updated timestamps.
—No per-field score documented
As of 2026-05-26, per its public documentation: it does not describe per-field confidence scores; documented quality framing covers validation and refresh cadence.
Delivery & Integration
How data lands in your stack: file vs API, refresh cadence, schema versioning.
✓Near-real-time acquisition; daily/weekly/monthly delivery via S3, GCS, Snowflake share, SFTP
As of 2026-05-26: Bulk delivery to customer-owned S3, GCS, Snowflake secure data share, or SFTP. CSV or Parquet. Daily, weekly, or monthly cadence. No public REST API yet; on the 2026 roadmap.
✓REST API, AWS Marketplace, Snowflake Data Share, batch files
As of 2026-05-26: REST API, Snowflake Marketplace + Secure Data Share, AWS Marketplace, Google BigQuery, Databricks, S3, GCS, Azure Blob, and SFTP. Source: lightcast.io/products/data/data-shares.
✓REST API, S3, Snowflake, Databricks
As of 2026-05-26: Flat files via S3, Snowflake, GCS, or zipped link. S3 (Parquet or CSV) is the most popular delivery method. Snowflake Marketplace listing available. Source: data-dictionary.reveliolabs.com.
✓REST API, S3, Snowflake, daily refresh
As of 2026-05-26: File delivery via Snowflake, Azure, Amazon S3, or Google Cloud. LinkUp RAW with daily delivery ships full job records each day. Snowflake Marketplace listing available. Source: data.support.linkup.com.
✓REST API (self-serve), bulk files
As of 2026-05-26: Base Jobs API for query-level access; Bulk Collect API for large requests with results delivered via download link, S3, or GCS. JSONL or Parquet. Source: docs.coresignal.com.
✓REST API, dataset downloads, web scraper builder
As of 2026-05-26: API response, webhook, S3, Snowflake, Azure, GCS, SFTP, or direct download. JSON, NDJSON, CSV, or Parquet (optionally .gz). Source: docs.brightdata.com.
Compliance & Data Lineage
GDPR/CCPA posture + whether salary data is employer-disclosed, scraped, or predicted (matters for EU Pay Transparency).
✓GDPR + CCPA compliant. Public commercial data only, no personal data. Salary lineage flagged per row.
As of 2026-05-26: Public commercial postings only, no individual profile data. GDPR and CCPA compliant. Salary lineage (employer-posted vs employee-reported vs BLS-modeled) flagged on every benchmark cell, which matters for EU Pay Transparency reporting.
✓GDPR + CCPA. Employer-disclosed salary preserved as-is.
As of 2026-05-26: Standard Contractual Clauses for cross-border transfers, EU/EEA/UK data-subject rights honored. Trust center at trust.lightcast.io. Salary data is employer-posted (no modeling), so lineage is straightforward. Source: lightcast.io/privacy-policy.
●GDPR notice published; includes professional profile data
As of 2026-05-26: GDPR privacy notice published; CCPA compliance not separately documented on Revelio's privacy pages. The dataset includes professional profile data. Source: reveliolabs.com/gdpr.
✓GDPR + CCPA. Single-source (employer ATS), no scraped personal data.
As of 2026-05-26: Data sourced exclusively from employer career sites (ATS). No personal profile data, no third-party aggregator scraping. Source: linkup.com.
✓GDPR + CCPA compliance published
As of 2026-05-26: GDPR and CCPA compliance per Coresignal's data-transparency page; founding member of the Ethical Web Data Collection Initiative. Source: coresignal.com/data-transparency.
✓GDPR + CCPA compliance pages published
As of 2026-05-26: GDPR and CCPA compliance pages published. Source: brightdata.com/trustcenter/gdpr.
Price Tier
Total cost of ownership. Enterprise lockouts vs self-serve vs commodity bulk.
✓$$
As of 2026-05-26: Mid-market pricing. API tiers start under $1K/month; bulk products priced per dataset. Free 5,000-record samples on request, flexible contracts.
●$$$$
As of 2026-05-26: Enterprise contracts, typically six figures annually. Pricing not published.
●$$$$
As of 2026-05-26: Enterprise subscription, six-figure annual contracts typical. Pricing not published. No self-serve tier.
●$$$$
As of 2026-05-26: Enterprise contracts (six figures). Available through Nasdaq Data Link and the GlobalData marketplace; pricing not published.
✓$-$$$
As of 2026-09-15: Free tier; self-serve plans from $49/mo to $5,000/mo. Source: coresignal.com/pricing.
✓$
As of 2026-09-15: $250 minimum order; up to $0.0025/record on bulk job-postings datasets. Lowest per-record price in this comparison.
Some providers focus on raw data at low cost, others offer deep enrichment at enterprise pricing. We built Canaria to sit in the middle: research-grade enrichment that's accessible without a six-figure contract.

How Canaria compares, provider by provider

Canaria vs Lightcast

Lightcast is built for government, academic, and Fortune 500 workforce planning, with the broadest global footprint (165+ countries) and the deepest taxonomy cross-walks. It is an enterprise purchase, typically six figures annually, and its documentation describes posted salary without modeled estimates or a per-field confidence score. Canaria covers the US in depth plus 243 other countries and territories, enriches occupation, industry, title and skills, and adds a predicted-salary model with 95% confidence intervals and per-field confidence scores, calibrated to the probability of being correct for occupation, industry and title, with API plans from $49 per month.

See the full feature comparison ↓

Canaria vs Revelio

Revelio Labs focuses on investor signals, workforce dynamics, and profile-based analytics across roughly 150 countries, with modeled compensation. Its data includes individual professional profiles, which some compliance teams review separately. Canaria works only with public commercial postings (no personal profile data), classifies worker type (W2 vs 1099), and ships a per-field confidence score, at a self-serve price point.

See the full feature comparison ↓

Canaria vs Coresignal

Coresignal targets developers and AI-training buyers with a low-entry self-serve API; its documentation describes skills as extracted strings and does not describe a canonical taxonomy or standardized occupation and industry codes. Canaria sells enriched intelligence: postings arrive with SOC and NAICS codes, taxonomy-matched skills, salary estimates, and per-field confidence scores, after two-stage semantic deduplication produces one canonical record per job.

See the full feature comparison ↓

Canaria vs Bright Data

Bright Data is a horizontal scraping platform delivering bulk job records at the lowest per-record price in this comparison; its documentation does not describe occupation or industry codes, skills normalization, or canonical deduplication. Canaria delivers a canonical, fully enriched record per job with 100+ structured fields, occupation and industry classification, predicted salary, and stable identifiers across deliveries.

See the full feature comparison ↓

Frequently Asked Questions

What is a lower-cost alternative to enterprise labor market data providers?
Enterprise providers such as Lightcast, Revelio Labs, and LinkUp typically sell six-figure annual contracts. Canaria is a mid-market alternative: research-grade enrichment including occupation and industry classification, salary benchmarks, a 43,000+ entry skills and credentials taxonomy, and per-field confidence scores, with a free API tier, paid plans from $49 per month, and free 5,000-record samples.
How does Canaria compare to raw job data providers like Coresignal and Bright Data?
Coresignal and Bright Data sell records largely as collected; their public documentation does not describe standardized occupation or industry codes, a canonical skills taxonomy, or salary modeling. Canaria sells enriched intelligence. Postings arrive with SOC and NAICS codes, a normalized title, taxonomy-matched skills, salary estimates, and per-field confidence scores, after two-stage semantic deduplication produces one canonical record per job.
How much does job posting data cost?
Pricing spans three tiers. Bulk raw data is cheapest: Bright Data starts at a $250 minimum order and up to $0.0025 per record. Self-serve APIs start around $49 per month: Coresignal's plans run $49 to $5,000 per month for raw multi-source records, and Canaria's self-serve plans run from a free tier and $49 per month up to $1,499 per month for enriched records. Enterprise providers like Lightcast, Revelio Labs, and LinkUp typically charge six figures annually.
Which job posting data provider has the deepest historical archive?
LinkUp has indexed employer career sites since 2007 and Lightcast covers US postings since 2010, the two deepest archives in this comparison. Revelio Labs postings begin in 2021, Canaria's archive starts in 2022, and Coresignal and Bright Data cover roughly 2020 onward. For long backtests, LinkUp or Lightcast lead; Canaria trades archive depth for enrichment depth and price.
What are the alternatives to Coresignal for job posting data?
The closest alternatives are Bright Data for raw bulk records, Canaria for enriched records at a comparable self-serve price point, and Lightcast, Revelio Labs or LinkUp if an enterprise contract is acceptable. The practical difference is what arrives already resolved. Coresignal's documentation describes postings largely as collected, so occupation coding, industry coding, title normalization and skills matching would fall to the buyer. Canaria delivers those resolved: SOC and NAICS codes, a normalized title against 99,799 canonical roles, taxonomy-matched skills, and one canonical record per job after two-stage semantic deduplication.
Which job posting data provider is best for HR tech platforms?
For an HR tech platform the deciding factor is usually whether the data arrives standardized, because anything unresolved becomes engineering work inside your product. Canaria ships SOC occupation codes, NAICS industry codes, normalized titles, a 43,000+ entry skills and credentials taxonomy and salary benchmarks on every delivery, plus written identifier-stability contracts so a job ID persists across deliveries and your users' saved records do not break. Lightcast and Revelio Labs offer deep enrichment under six-figure annual contracts. Coresignal and Bright Data cost less, and their documentation describes records your team would classify itself.
Which job postings API is best for workforce intelligence and hiring trend analysis?
Trend analysis needs three things that raw feeds rarely provide: consistent occupation and industry coding so a time series means the same thing each month, deduplication so one job posted to five boards is not counted five times, and a stable identifier so a posting can be tracked across deliveries. Canaria provides all three. Its archive runs from 2022 to the present with the US as the primary market plus postings from 243 other countries and territories, roughly 400M unique postings after semantic deduplication, and delivery daily, weekly or monthly as CSV or Parquet over S3, GCS, Snowflake share or SFTP. For backtests that need to start before 2020, LinkUp and Lightcast have the deeper archives.
Which providers classify worker type such as W2, 1099, or corp-to-corp?
Canaria is the only provider in this comparison that publishes a worker-type field (W2 vs 1099), populated on 98.9% of postings. The public documentation of Lightcast, Revelio Labs, LinkUp, Coresignal, and Bright Data does not describe a worker tax classification. This matters for staffing platforms, contract-versus-permanent market sizing, and quant signals built on contingent workforce trends.

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Canaria is not affiliated with, endorsed by, or connected to Lightcast, Revelio Labs, LinkUp, Coresignal, Bright Data, or any other company listed for comparison. All competitor information is sourced from publicly available product documentation and industry reports. Competitor details verified May 26, 2026; volumes and prices re-checked September 15, 2026. A cell marked as not in public documentation means we did not find it in the provider's published materials, not that the provider lacks it. Contact us if you find an error.