> ## Documentation Index
> Fetch the complete documentation index at: https://docs.peopledatalabs.com/llms.txt
> Use this file to discover all available pages before exploring further.

# April 2026 Release Notes (v34.0)

| Release Name | Dataset Version | Publish Date |
| :----------- | :-------------- | :----------- |
| April 2026   | `v34.0`         | 04/21/2026   |

***

**Welcome to our April 2026 release notes!**

This month, we’ve got an exciting new product launch alongside some impactful data quality improvements to share.

Check it out:

* **✨ [Job Posting API](#-beta-launch-job-posting-api-docs)** It's here - our brand new API for real-time access to global hiring data
* 🔧 [**Data Quality & Coverage Improvements**](#commentary): Big jumps in work email deliverability along with improved matching for location and school data across datasets.
* **🪲 [Important Bug Fixes](#bug-fixes)** Squashed key issues to improve deduplication and consistency in our Person dataset
* **📊 [Freshness Updates](#freshness)**: This past month, we [verified 68M+ jobs](#freshness) and [detected 6M+ job changes](#job-changes) across our global dataset

Dive into the full details below, or jump to what interests you using the table of contents below.

***

# Table of Contents

[📣 Announcements](#-announcements)

[✨ New Products and Features](#-new-products-and-features)

* [🆕 Beta Launch: Job Posting API](#-beta-launch-job-posting-api-docs)

[🚀 Data Updates](#-data-updates)

* [Freshness](#freshness)
* [Job Changes](#job-changes)
* [Coverage](#coverage-full-stats-person-company-job-posting-ip)
* [Commentary](#commentary)

[🛠 Improvements and Bug Fixes](#-improvements-and-bug-fixes)

* [Improvements](#improvements)
* [Bug Fixes](#bug-fixes)

***

# 📣 Announcements

<Callout icon="📘" theme="info">
  **Using Email Data? Check out Our New Post on Email Deliverability**

  Improving our Email Deliverability has been a key focus on our Data Roadmap since [last October](https://docs.peopledatalabs.com/changelog/october-2025-release-notes-v320#email-deliverability-improvements-person). This month, we wrote a new blog post that provides a comprehensive overview of this project and where we’re going.

  If email outreach and deliverability is a key focus of yours, this post is definitely worth a read!

  [Building for Email Deliverability](https://www.peopledatalabs.com/blog/post/building-for-email-deliverability)
</Callout>

***

# ✨ New Products and Features

## 🆕 Beta Launch: Job Posting API ([Docs](https://docs.peopledatalabs.com/docs/job-posting-search-api))

<br />

**What’s New**

This month, we’re excited to announce the launch of our new Job Posting API to enable real-time access to complete records from our Job Posting Dataset.

The Job Posting API is a **search endpoint** that allows you to query and retrieve structured job posting records without needing to manage a full dataset.

With this API, you can:

* Search millions of active and historical job postings
* Filter by company, title, location, salary, and more
* Retrieve full job posting records, including raw descriptions and metadata
* Access daily-updated data sourced directly from company career pages

<br />

**Why We Built This**

Our goal with the Job Posting API was to provide a **more flexible and accessible way** to work with job posting data.

While the full [Job Posting Dataset](https://docs.peopledatalabs.com/docs/job-posting-data-overview) is ideal for large-scale use cases, many users need a lighter-weight, query-based solution. This API makes it easier to:

* Access only the data you need, when you need it
* Iterate on searches dynamically without managing full data pipelines
* Integrate real-time hiring data directly into applications and workflows

<br />

**Key Features**

* **Flexible Search Options**: Use simple field filters or full Elasticsearch queries for advanced use cases

* **Built-in Data Cleaning**: Company names, locations, and titles are normalized automatically for easier querying

* **Multi-field Filtering**: Combine filters across multiple attributes using AND logic

* **Bulk Retrieval**: Paginate and pull down all records matching your query

* **Near Real-Time Data**: Job postings are updated within \~24 hours of detection

<Callout icon="📘" theme="info">
  **Check out the Docs!**\
  To learn more and see various use cases in action, take a look at these resources:

  * [Job Posting API Overview](https://docs.peopledatalabs.com/docs/job-posting-search-api)
  * [Quickstart Guide](https://docs.peopledatalabs.com/docs/quickstart-job-posting-search-api)
  * [Use Cases](https://docs.peopledatalabs.com/docs/use-cases-job-posting-search-api)
</Callout>

<br />

**How To Get Started**

The Job Posting API is currently in **beta**.

To get started:

* **PDL Customers**: Reach out to your account team to enable access
* **New to PDL?** [Request access here](https://www.peopledatalabs.com/job-posting-beta-sign-up)

<br />

**What’s Next**

This beta release is the first step in expanding how users interact with our Job Posting Data.

Over the coming months, we plan to:

* Expand data coverage and volume
* Refine the API experience and schema
* Incorporate feedback from early users to guide improvements

Have questions or suggestions? [Let us know](https://feedback.peopledatalabs.com/feature-requests?selectedCategory=job-posting-data)! We’re actively building this product alongside our users.

***

# 🚀 Data Updates

### Freshness

*The number of jobs and locations verified in our datasets (based on the `job_last_verified` and `location_last_updated` fields).*

**Monthly (v33.2 → v34.0)**\
*Freshness updates over the past month.*

| Dataset | Geography     | Field        | Records Updated |
| :------ | :------------ | :----------- | --------------- |
| Resume  | Global        | `experience` | 68,637,489      |
| Resume  | Global        | `location`   | 96,306,800      |
| Resume  | United States | `experience` | 26,312,224      |
| Resume  | United States | `location`   | 34,430,551      |

### 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 (v33.2 → v34.0)**\
*Freshness updates over the past month.*

| Dataset | Geography     | Records Updated |
| :------ | :------------ | --------------- |
| Resume  | Global        | 6,375,225       |
| Resume  | United States | 1,648,264       |

<br />

## Coverage (Full Stats: [Person](https://docs.peopledatalabs.com/docs/datasets), [Company](https://docs.peopledatalabs.com/docs/company-stats), [Job Posting](https://docs.peopledatalabs.com/docs/jp-stats), [IP](https://docs.peopledatalabs.com/docs/ip-stats))

### Monthly (v33.2 → v34.0)

[**Resume Dataset**](https://docs.peopledatalabs.com/docs/resume-stats)

| Linkage       | Coverage in v33.2 | Coverage in v34.0 | Increase (%) |
| :------------ | ----------------- | ----------------- | ------------ |
| Total Records | 809,343,157       | 807,504,074       | -0.23%       |
| work\_email   | 68,063,562        | 89,503,938        | 31.5%        |
| emails        | 199,458,707       | 225,452,984       | 13.03%       |
| headline      | 181,448,484       | 202,801,405       | 11.77%       |
| mobile\_phone | 55,480,692        | 52,054,473        | -6.18%       |

[**API Dataset**](https://docs.peopledatalabs.com/docs/stats)

| Linkage       | Coverage in v33.2 | Coverage in v34.0 | Increase (%) |
| :------------ | ----------------- | ----------------- | ------------ |
| Total Records | 2,462,179,997     | 2,459,165,018     | -0.12%       |

[**Email Dataset**](https://docs.peopledatalabs.com/docs/email-stats)

| Linkage       | Coverage in v33.2 | Coverage in v34.0 | Increase (%) |
| :------------ | ----------------- | ----------------- | ------------ |
| Total Records | 586,900,394       | 613,121,153       | 4.47%        |

[**Mobile Phone Dataset**](https://docs.peopledatalabs.com/docs/mobile-phone-stats)

| Linkage       | Coverage in v33.2 | Coverage in v34.0 | Increase (%) |
| :------------ | ----------------- | ----------------- | ------------ |
| Total Records | 479,651,097       | 479,255,846       | -0.08%       |

[**Company Dataset**](https://docs.peopledatalabs.com/docs/company-stats)

| Linkage              | Coverage in v33.2 | Coverage in v34.0 | Increase (%) |
| :------------------- | ----------------- | ----------------- | ------------ |
| Total Records        | 74,685,793        | 74,690,041        | 0.006%       |
| affiliated\_profiles | 173,214           | 167,897           | -3.07%       |

[**Job Posting Dataset**](https://docs.peopledatalabs.com/docs/jp-stats)

| Linkage                | Coverage in v33.2 | Coverage in v34.0 | Increase (%) |
| :--------------------- | ----------------- | ----------------- | ------------ |
| Total Records          | 25,931,674        | 30,644,394        | 18.17%       |
| Total Unique Companies | 52,236            | 54,997            | 5.29%        |
| Total Active Postings  | 3,178,613         | 3,875,335         | 21.92%       |

<br />

## Commentary

* **Person Data**
  * This month we saw a 31% increase in coverage of deliverable `work_emails` as a result of our ongoing work to improve our email deliverability. See [improvements](#improvements).
  * We saw an 11% increase in coverage for the `headline` field.
  * We saw a 6% drop in coverage for mobile\_phones in our resume dataset this month.
* **Company Data**
  * We saw a decrease in the fill rate for the `affiliated_profiles` as a result of some [improvements](#improvements) to this field this past month.
* **Job Posting Data**
  * We saw a 5% increase in the number of unique companies tracked in our Job Posting Dataset over the past month.

***

# 🛠 Improvements and Bug Fixes

## Improvements

* **Email Deliverability Improvements**
  * We integrated more validated emails into our data build process and improved our internal benchmarking and QA pipeline for monitoring our email deliverability
  * As a result of these changes, we saw significant increases in both coverage and deliverability this month.
  * Customers should see improvements, but should still expect some continued month-to-month variability in fill rates as this project continues
* **Updated Affiliated Profile Logic**
  * The `affiliated_profiles` field now represents a deduplicated list of all related company IDs (parent and subsidiary affiliated companies). Previously, this was capped at a max of 25 associated record IDs.
* **Location Canononicalization Improvements**
  * We improved location parsing and canonicalization for some specific locations, such as São Paulo, Bangalore/Bengaluru, Mexico City, and accented Brazilian city names.
  * This improves accuracy for international localities, district-style city names, and edge cases involving formatting or diacritics

## Bug Fixes

* **More Reliable Profile Merging**
  * We fixed an issue that prevented some profiles with the same  `linkedin_id` from merging correctly.
* **School Canonicalization Reliability**
  * We resolved cases where the same school raw value could map to different canonical schools.
* **Names with Parenthetical Certifications**
  * We fixed an issue where names containing parenthetical credentials or certifications could be parsed incorrectly, producing malformed name outputs.