September 2026 Release Notes - People Data Labs Documentation

Release Name	Dataset Version	Publish Date
September 2026	v35.2	09/15/2026

Welcome to our September 2026 release notes! Back to school season is here, and we’ve got an exciting batch of updates to share for show-and-tell this month: improved salary and compensation data, a new sandbox endpoint for the Job Posting API, improved deduplication, and expanded Job Posting and Technology Data coverage. Check it out:

💰 Inferred Salary Improvements: Expanded and improved salary data, powered by more real-world signals from our job posting dataset.
▶️ Job Posting Sandbox API: A free way to test our Job Posting API using a test dataset of curated job posts.
📈 Data Quality & Coverage Improvements: 65% less duplication of LinkedIn profiles, validation of GitHub URLs, and expanded coverage of Job Posting and Technology Data.
📊 Freshness Updates: This past month, we refreshed 57M+ resume experiences and detected 6.6M+ job changes across our global dataset

✨ Release Updates

Inferred Salary Improvements

Person Data GA ✨ Product Update 📐 Schema Change What’s New? We’ve improved how our inferred_salary field is calculated and added three new fields to provide a more precise and transparent view of estimated compensation. Our updated methodology now incorporates compensation signals from real-world job posts, accounting for factors such as role, seniority, company, geography, and recency. Alongside the existing inferred_salary field, we have also added the following fields: New Inferred Salary Fields

FIELD NAME	FIELD TYPE	FIELD BUNDLE	FIELD DESCRIPTION
`inferred_salary_low`	`Integer`	Inferred Salary	The lower bound (tenth percentile) of the distribution of salaries associated with this role.
`inferred_salary_high`	`Integer`	Inferred Salary	The upper bound (90th percentile) of the distribution of salaries associated with this role.
`inferred_salary_confidence`	`String (Enum)`	Inferred Salary	The confidence tier associated with the inferred salary. Will be one of the Canonical Inferred Salary Confidence Values.

These fields offer a more granular estimated range and additional context about the strength of each salary estimate.

The canonical values for the inferred_salary field are not changing. We are only improving the methodology used to assign those canonical salary buckets to each record.

Example

{
  "inferred_salary": "150,000-250,000",
  "inferred_salary_low": 150000,
  "inferred_salary_high": 210000,
  "inferred_salary_confidence": "high"
}

Why It Matters These improvements make Inferred Salary data more useful across a wider range of compensation, targeting, and analytics workflows. With these updates, you can expect:

More accurate salary estimates across international markets
Greater granularity for compensation above $250k
Broader coverage
More precise estimated salary ranges
A confidence indicator to help evaluate each estimate

By incorporating real-world compensation signals from our Job Posting Dataset, our salary estimates now better reflect current market compensation across roles, companies and geographies. Availability The new fields are included in the premium Inferred Salary field bundle, alongside the existing inferred_salary field. Customers who already have access to this bundle will automatically receive the new fields in their upcoming deliveries. If you’re an enterprise customer and would like access to these fields, please reach out to your Customer Success team. Self-serve customers can add the bundle to their subscription through the API Dashboard under Plans & Billing > Subscriptions > Manage. Additional Resources

Job Posting Sandbox API

Job Posting Data GA ✨ Product Update What’s New? This month, we released a new Sandbox endpoint for our Job Posting Search API; you can now test and build with the Job Posting Search API for free using our new Sandbox endpoint. The Sandbox Job Posting Search API mirrors the functionality of the production API, but runs against a sample of real Job Posting data and does not consume credits. This offers a risk-free environment to test queries, build integrations, and prototype workflows before moving to production. Overview Endpoint: https://sandbox.api.peopledatalabs.com/v5/job_posting/search The Sandbox endpoint supports the same input parameters and returns the same JSON response structure as the production Job Posting Search API. The underlying Sandbox dataset contains a sample of 5,000 real Job Posting records and is refreshed monthly, providing enough data to test workflows including filtering, pagination, and aggregations. Why It Matters Previously, testing the Job Posting Search API required access to production credits. With the new Sandbox endpoint, you can:

Build and test integrations and workflows without consuming credits
Experiment with search queries before using them in production
Test filtering, pagination, and aggregation workflows against real Job Posting Data
Evaluate Job Posting Data without needing test credits provisioned first

Because the Sandbox uses real Job Posting records, you can also evaluate the structure of the underlying data using representative samples.

Sandbox Dataset LimitationsThe Sandbox endpoint uses a small curated dataset of 5,000 job posts and is only updated monthly.Therefore, the Sandbox API is not reflective of the coverage and freshness of the production Job Posting Search API. Instead, this endpoint is intended to provide a free way to test functionality and workflows using the endpoint.If you would like to evaluate the production Job Posting Search API, please reach out to us.

Availability The Sandbox endpoint for our Job Posting Search API is available across all plans and does not consume API credits. To access the Sandbox API, simply query the endpoint with your PDL API key. If you do not have an API key, you can sign up for a free one through our self-serve portal. Getting Started To immediately start sending test queries, check out this quick copy-and-paste code example: Sandbox Example For more test queries to try out, you can also run any of the code samples in the Job Posting Search API Examples page. Simply replace the production Job Posting Search API endpoint in those examples with the sandbox endpoint: To run any Job Posting Search API example with the Sandbox Endpoint:

Replace
`https://api.peopledatalabs.com/v5/job_posting/search`

With
`https://sandbox.api.peopledatalabs.com/v5/job_posting/search`

🚀 Data Updates

Freshness

The number of resume experiences and locations verified in our datasets (based on the job_last_verified and location_last_updated fields). Monthly (v35.1 → v35.2) Freshness updates over the past month.

Dataset	Geography	Field	Records Updated
Resume	Global	`experience`	57,443,384
Resume	Global	`location`	61,896,943
Resume	United States	`experience`	18,433,367
Resume	United States	`location`	18,171,267

Job Changes

The number of person records where the primary job experience changed in our Person Dataset (based on the job_last_changed field). Monthly (v35.1 → v35.2) Job changes detected over the past month.

Dataset	Geography	Records Updated
Resume	Global	6,657,429
Resume	United States	1,460,051

🌐 Coverage

Monthly Highlights (v35.1 → v35.2)

Resume Dataset

Linkage	Coverage in v35.1	Coverage in v35.2	Increase (%)
Total Records	814,867,031	815,476,877	0.07%
`inferred_salary`	274,335,234	346,605,387	26.34%
`headline`	273,446,294	295,097,900	7.92%
`skills`	205,364,885	216,221,372	5.29%
`github_url`	2,075,559	2,182,448	5.15%
`github_username`	2,075,559	2,182,448	5.15%

Full Dataset

Linkage	Coverage in v35.1	Coverage in v35.2	Increase (%)
Total Records	2,464,042,232	2,424,643,098	-1.60%

Company Dataset

Linkage	Coverage in v35.1	Coverage in v35.2	Increase (%)
Total Records	74,672,539	76,606,079	2.59%
`technologies_used`	6,462,182	6,758,244	4.58%
`active_job_postings`	109,709	115,918	5.66%
`deactivated_job_postings`	109,709	115,918	5.66%

Job Posting Dataset

Metric	Coverage in v35.1	Coverage in v35.2	Increase (%)
Total Records	40,614,651	46,188,396	13.72%
Total Unique Companies	109,824	116,514	6.09%
Total Active Postings	6,293,692	7,024,184	11.61%

Technology Data

Coverage in v35.1	Coverage in v35.2	Increase (%)
25,566	25,566	0.00%
22,249	22,571	1.45%
6,462,182	6,758,244	4.58%
53,635,904	55,632,265	3.72%
186,560,858	197,780,611	6.01%

Commentary

Person Data
- inferred_salary coverage in the Resume Dataset increased by 26% following this month’s salary data improvements
- GitHub <> LinkedIn profile linkages increased by 5%, aided by this month’s GitHub URL validation update
- The Full Dataset decreased by approximately 40M records as a result of this month’s LinkedIn deduplication improvements
Company Data
- The number of companies with Technology Data increased by 4.5%
- The number of companies with Job Posting Data increased by 5.7%
Job Posting Data
- Job Posting Dataset coverage continued to expand with 6% more unique companies and 12% more active postings this month
Technology Data
- Total technology mentions increased by 6%, while the number of unique Company<>Technology linkages increased by 3.7%
- We also observed Technology Data across 4.6% more companies this month

🛠 Improvements and Bug Fixes

Improvements

Person Record Deduplication
- We reduced the number of duplicate LinkedIn profiles by 65% by filtering sparse records that duplicate more complete profiles. This removed approximately 40M records from the full dataset (see commentary above).
- These improvements primarily target the full Person Dataset, and do not impact our resume or other datasets.
- Customers using the full Person Dataset may see a decrease in the total number of records. Customers using the person changelog will see a temporary spike in the number of records marked as deleted this month.
GitHub URL Validation
- The github_url field on person records now only contains URLs that return a 200 status. URLs returning a 404 are retained in the profiles array, but will no longer appear as the top-level github_url.
Improved Company Location Coverage
- We expanded our company location sourcing to increase our coverage of locations across records in our Company Dataset.Company Location Coverage

​✨ Release Updates

​Inferred Salary Improvements

​Job Posting Sandbox API

​🚀 Data Updates

​Freshness

​Job Changes

​🌐 Coverage

​Monthly Highlights (v35.1 → v35.2)

Resume Dataset

Full Dataset

Company Dataset

Job Posting Dataset

Technology Data

​Commentary

​🛠 Improvements and Bug Fixes

​Improvements

✨ Release Updates

Inferred Salary Improvements

Job Posting Sandbox API

🚀 Data Updates

Freshness

Job Changes

🌐 Coverage

Monthly Highlights (v35.1 → v35.2)

Commentary

🛠 Improvements and Bug Fixes

Improvements