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How Canaria compares to other job market data providers

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

✓ships this●partial / undisclosed—not offered
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. Heavy on 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.
✓1B+ unique (8B+ raw URLs ingested)
As of 2026-05-26: 1B+ unique canonical postings after semantic deduplication. Empirical row count 927M+ at the 2026-04-30 build. 8B+ raw posting URLs ingested upstream of the canonical dedup step. Headline reports the canonical-unique count, not the 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.
✓315M+ (single-source, no cross-source dedup needed)
As of 2026-05-26: 315M+ postings indexed since 2007 across 80,000+ employer career sites. Single-source (employer ATS only), so canonical and observed counts converge.
●452M+ multi-source clustered
As of 2026-05-26: 452M+ 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.
●115-200M scraped records (no canonicalization)
As of 2026-05-26: 114.6M+ across four prebuilt jobs datasets; 200M+ exposed via the Jobs Data API. Records are raw scraped, not canonicalized to a single deduped 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 2026-05-26: 19 years of continuous daily indexing since 2007 across 80,000+ employer 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
As of 2026-05-26: US is the primary coverage today. EMEA expansion is on the 2026 roadmap. If you need broad cross-country labor data right now, Canaria is not the fit.
✓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 + posting aggregation. Strongest in markets with high LinkedIn penetration.
✓195 countries
As of 2026-05-26: 195 countries indexed across 80,000+ employer career sites. Coverage varies by employer ATS adoption per country.
✓Global (LinkedIn-driven, US-skewed)
As of 2026-05-26: Global reach driven by LinkedIn coverage plus aggregator sites. Country-level granularity is uneven; US and EU markets are deepest.
✓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.
✓40K+ skills, 3.4K certs, 1.2K licenses, 260 soft skills
As of 2026-05-26: 40,000+ technical skills, 3,400+ certifications, 1,200+ professional licenses, 260 soft skills. Built from 100K+ 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 RAW ships unenriched. Skills analytics ride on the Compass dashboard and partner integrations rather than a published canonical taxonomy.
—No canonical taxonomy
As of 2026-05-26: Coresignal returns required skills as raw strings extracted from postings. No canonical skill IDs, no certifications taxonomy, no soft-skill separation.
—Raw text only
As of 2026-05-26: Bright Data delivers scraped fields. No skill normalization, no canonical taxonomy, no certifications or soft-skill 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 on every record
As of 2026-05-26: SOC 6-digit using title plus description context (94% top-5, 73% top-1 across 867 codes), O*NET tags, and NAICS-2022 four-column rollup (sector, industry group, 6-digit code, title) on every job, company, and place.
✓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
As of 2026-05-26: No occupation or industry classification codes attached. Plain-text industry and function strings from the source sites only.
—No standardized codes
As of 2026-05-26: Raw scraped fields only. No 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 classified
As of 2026-05-26: No W2 / 1099 / C2C classification published in Lightcast feeds.
—Not classified
As of 2026-05-26: COSMOS distinguishes contract work and internships at a coarse level, but does not break out W2 / 1099 / C2C tax classifications.
—Not classified
As of 2026-05-26: LinkUp RAW does not classify worker tax category.
—Not classified
As of 2026-05-26: Coresignal does not classify worker tax category.
—Not classified
As of 2026-05-26: Bright Data does not classify worker tax category.
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 only, no estimates
As of 2026-05-26: Lightcast extracts advertised salary ranges from postings (no modeled estimates). 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 only (raw)
As of 2026-05-26: Salary captured as a raw text field when the posting includes one. No salary model, no benchmark cells, no CI.
●Posted only (raw)
As of 2026-05-26: Salary range captured from the job ad text when present. No prediction model, no 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 score, abstain threshold 0.95
As of 2026-05-26: Every classified field ships a confidence score (occupation code, seniority, remote, employment, normalized title). Default 0.95 abstain threshold lets buyers filter on quality directly in queries.
●Methodology disclosed, no per-row score
As of 2026-05-26: Lightcast publishes methodology and quality KPIs (skills coverage, classification accuracy), but does not ship a confidence score on each enriched field in the data feed.
—No per-field score
As of 2026-05-26: Revelio does not expose per-field confidence scores on COSMOS records. Salary estimates ship as point predictions without published CI per row.
—No per-field score
As of 2026-05-26: LinkUp RAW does not ship per-field confidence. Compass dashboard quality framing is at the aggregate level.
—No per-field score
As of 2026-05-26: No per-field confidence scores. Quality signals are limited to source attribution and last-updated timestamps.
—No per-field score
As of 2026-05-26: No per-field confidence scores. Quality framing is limited to 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 compliant. Personal profile data raises heavier compliance footprint.
As of 2026-05-26: GDPR privacy notice published; CCPA compliance not separately documented per Revelio's own privacy pages. Heavy reliance on public LinkedIn-style profile data raises EU/UK data-subject-rights footprint. 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. Lowest compliance surface of the comparison set. Source: linkup.com.
●GDPR + CCPA. LinkedIn-derived data raises ongoing legal questions.
As of 2026-05-26: GDPR and CCPA compliant per Coresignal's data-transparency page; founding member of the Ethical Web Data Collection Initiative. LinkedIn-style profile data carries ongoing legal scrutiny for buyers in EU regulated industries. Source: coresignal.com/data-transparency.
●GDPR + CCPA. Heavy reliance on scraped content; active litigation history.
As of 2026-05-26: GDPR and CCPA compliance pages published. Won Meta v. Bright Data (2024) and X Corp v. Bright Data (2024) establishing public-data scraping precedent, but the litigation history itself is something compliance teams weigh. Source: brightdata.com/trustcenter/gdpr.
Price Tier
Total cost of ownership. Enterprise lockouts vs self-serve vs commodity bulk.
✓$$
As of 2026-05-26: Mid-market pricing. API tiers start under $1K/month; bulk products priced per dataset. Free 5,000-record samples on request, flexible contracts.
●$$$$
As of 2026-05-26: Enterprise contracts, typically six figures annually. Pricing not published. EU Labour Market Plus dataset around $99K/year on AWS Marketplace; US enterprise deals usually higher.
●$$$$
As of 2026-05-26: Enterprise subscription, six-figure annual contracts typical. Pricing not published. No self-serve tier.
●$$$$
As of 2026-05-26: Enterprise contracts (six figures). Available through Nasdaq Data Link and the GlobalData marketplace; pricing not published.
✓$-$$$
As of 2026-05-26: Free tier (200 credits, 7-day expiry); Starter from $49/mo, Pro from $800/mo, Premium from $1,500/mo. Bulk flat-file deals start around $1K and scale up.
✓$
As of 2026-05-26: $250 minimum order; up to $0.0025/record on bulk job-postings datasets. Subscription discounts up to 80% on monthly refresh. Lowest per-record cost in the market.
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 ships posted salary without modeled estimates or a per-field confidence score. Canaria covers US-primary data with comparable enrichment depth, adds a predicted-salary model with 95% confidence intervals and a confidence score on every classified field, at API tiers starting under $1,000 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 from a model ensemble. Its heavy reliance on individual profile data carries a larger compliance footprint. Canaria works only with public commercial postings (no personal profile data), classifies worker tax type (W2, 1099, corp-to-corp, statutory), 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, but returns skills as raw strings with no canonical taxonomy and no standardized occupation or industry codes. Canaria sells enriched intelligence: every posting carries SOC and NAICS codes, taxonomy-matched skills, a predicted salary, and per-field confidence, 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 raw job records at the lowest per-record cost, with no occupation or industry codes, no skills normalization, and no 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 40,000+ skill taxonomy, and per-field confidence scores, with API tiers starting under $1,000 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 raw scraped records: no standardized occupation or industry codes, no canonical skills taxonomy, and no salary modeling. Canaria sells enriched intelligence. Every posting carries SOC and NAICS codes, a normalized title, taxonomy-matched skills, a predicted salary, 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 enriched APIs run roughly $49 to $1,500 per month at Coresignal. Enterprise providers like Lightcast, Revelio Labs, and LinkUp typically charge six figures annually. Canaria sits in the middle, with API tiers starting under $1,000 per month.
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.
Which providers classify worker type such as W2, 1099, or corp-to-corp?
Canaria is the only provider in this comparison that classifies each posting as W2, 1099, corp-to-corp, or statutory employee. Lightcast, Revelio Labs, LinkUp, Coresignal, and Bright Data do not publish 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. Last verified: May 2026. Contact us if you find an error.