8 Best Job Posting Data Providers for U.S. Market Research (2026)

Read advertised demand with the right denominator

Job advertisements reveal changing skill requirements, employer priorities and regional demand. They do not count completed hires: reposting, multiple locations and one advert covering several openings complicate the picture. Collection rules must match the research question.

This shortlist helps U.S. research teams choose between historical datasets, enriched analytical services and current-job APIs. The providers serve international markets and are not all U.S.-headquartered. Confirm the contracted U.S. geography, employer sample and research rights before purchasing.

How we chose the eight

We reviewed current official product pages, technical documentation, pricing and U.S. offerings on November 4, 2026. Selection emphasizes delivery, timestamps, historical access, duplicate handling, usable fields and commercial boundaries. These are editorial use-case judgments; we did not benchmark coverage, inspect paid records or validate vendor accuracy claims.

Prices are USD where currency and billing basis could be verified. Quoted feeds and small API plans are different purchases. Compare equivalent geography, dates, volume, refreshes and publication permissions; request a representative sample.

The eight providers at a glance

A current vacancy search, a historical archive and a classified demand series solve different research problems. Match the best-fit label to the output you actually need.

1. Xverum — best overall editorial pick for structured hiring-demand feeds

Xverum is our first evaluation choice for teams combining job-posting signals with company context. Its jobs dataset documents daily refreshes, location and role segmentation, and JSON, CSV and Parquet delivery with API access. Those options suit a recurring analytical pipeline rather than manual vacancy searches.

Its published coverage is worldwide. Ask for a U.S. sample and written details on source employers, historical depth, removal timestamps and duplicate rules; the product page does not establish a complete U.S. archive. Dataset access is offered by a U.S. entity, with licensing restrictions that require review.

A public numerical jobs-dataset USD price was not verified. Request scoped terms, including permitted analysis and publication. Ask Xverum people-search credit plans should not be treated as job-feed pricing.

2. LinkUp RAW — best for long employer-site posting history

LinkUp RAW collects postings directly from employer career sites and documents history since 2007 with daily updates. Full descriptions, geographic fields and posted, removed and last-checked dates help teams study how advertised demand changes over time. Its product comparison lists full deliveries plus daily updates through file, cloud and Snowflake options.

Choose the product carefully: active-listing Feeds and Compass do not automatically include RAW’s full archive. For historical comparisons, specify the required archive version and point-in-time treatment.

Public numerical USD pricing was not verified; obtain a quote for the U.S. employer universe, history, delivery and licensed use. Direct employer sourcing is a defined collection strategy, not evidence that every employer or vacancy is covered.

3. Lightcast — best for classified regional demand analysis

Lightcast is a strong fit when the question concerns skills, occupations or regional demand rather than raw adverts alone. Its U.S. job-posting data documents history from January 2010, daily updates, deduplication and standardized company, title, skill and geographic fields. APIs support integration into analytical workflows.

Confirm access at the product level. Aggregate counts and limited posting samples do not imply unrestricted full-text bulk delivery. Permissions determine which records and fields are available.

Historical classifications and deduplication are reprocessed periodically, so a revised series is not necessarily an immutable point-in-time archive. Ask about reproducible versions for backtesting. Public numerical USD pricing was not verified; request the relevant API or data-share quote.

4. Coresignal — best for developer-managed collection and analytics

Coresignal’s Multi-Source Jobs API brings together postings from company sites, professional networks, applicant-tracking systems and aggregators, with cross-source duplicate resolution. Documented U.S. coverage and filters for employer, role, location and skills make it useful for building a tailored research pipeline.

The API retrieves records; it does not perform the downstream analytics. Your team must design aggregation, time-series logic and quality checks. Confirm active versus historical coverage for the specific package.

The Mini plan lists US$49 per month for 2,500 credits. A full job-record collection uses one credit; ordinary DSL searches are free, while other operations can cost credits. Bulk datasets are separately quoted. A small API allowance is not a complete historical-market dataset.

5. Revelio Labs COSMOS — best for employer and occupation comparisons

COSMOS combines employer-site, job-board and staffing-firm postings, then deduplicates and maps them to company identifiers, occupations, seniority and geography. Revelio offers posting-level records and monthly aggregated statistics, making it useful for comparing U.S. employers within a standardized structure.

Daily refresh is available; confirm the contracted delivery frequency and historical scope. Feed destinations include S3, Snowflake, Databricks and SFTP, with API access also available. Treat predicted classifications and expected-hire measures as derived fields, not observed hiring outcomes.

Feed and API access use scoped annual agreements; a public numerical COSMOS rate was not verified. The advertised Terminal subscription is a separate product. Request the actual U.S. data slice, schema and permitted publication terms.

6. JobsPikr — best for scoped historical and recurring feeds

JobsPikr documents U.S. coverage, daily updates and fields for employer, title, location, description and salary. Teams can receive API access or CSV, XML and JSON exports, with destinations including S3 and FTP. This is useful when a research project needs a defined geography and delivery schedule.

Its historical service offers observations collected since 2019. Verify the requested period and market: a platform-wide start date does not establish complete history for every research slice.

Plans use monthly download credits, while richer fields and cross-source deduplication vary by tier. A comparable USD research-feed price was not conclusively verified. Confirm currency, historical access, enrichment and export rights in the chosen quote rather than treating every advertised plan as equivalent.

7. Bright Data — best for source-specific dataset deliveries

Bright Data offers separate LinkedIn, Indeed and Glassdoor jobs datasets rather than a single interchangeable market census. Buyers can choose subsets and recurring deliveries, with formats including CSV, JSON and Parquet and destinations such as APIs, S3, Snowflake, Azure and SFTP. Its official Indeed-data research demonstrates U.S. posting coverage.

This suits teams that need a particular source and can reconcile it with other feeds. Confirm historical dates, update scope and cross-source deduplication before adding multiple datasets together. Distinguish advertised pay from estimated salary fields.

The jobs dataset page lists a US$250 minimum order. Final cost depends on the selected records and refresh configuration; this is not a monthly unlimited plan. Separately priced scraping APIs are a different purchase.

8. Adzuna — best for licensed U.S. search and salary-data evaluation

Adzuna’s public Job Search API documents U.S. support, keyword and location searches, salary distributions and historical average-salary data. It can help evaluate a focused search or salary question. Search descriptions are snippets, so the API is not a substitute for a licensed full-text historical archive.

The free key is for evaluation. Current terms restrict organizational trials to coverage, quality and usability checks; commercial analysis or ongoing organizational research needs written permission. Do not assume that publishing only aggregated results removes that requirement.

A numerical commercial USD price was not publicly verified. Confirm research, publication, attribution, retention and volume rights in the agreement. Historical salary aggregates should not be described as a complete archive of individual past adverts.

Choose the research design before the feed

For historical demand, compare the same employers, regions and dates across samples. Inspect duplicate identifiers, repost handling, first-seen and removal timestamps, missing salaries and occupation mappings. Keep the raw observation separate from vendor classifications and your own estimates.

For current-job products, test delay, deletions and update costs. For published reports, settle attribution, retention and redistribution rights. Price access, history, refreshes, enrichment and engineering together. A cheap retrieval plan can be costly to turn into a reproducible study.