Puck Jobs Posting API
and Data Feeds

CareerPuck, headquartered in San Francisco, USA, is a recruitment software built specifically for recruiting teams, talent acquisition leaders, and hiring organizations.

520.3
Average Jobs
per Month
83
Observed Companies
61
Active Companies
21
Max. Countries & Territories

Puck LogoJob Postings from Puck

Puck is an applicant tracking system (ATS) used by many companies to publish job openings on their own career pages. These job postings are publicly available and reflect direct employer hiring activity mainly from USA.

Techmap continuously collects and normalizes job postings from Puck, tracking hiring activity primarily from the USA. On average, we collect 17.3 new Puck job postings per day, resulting in around 520.3 new listings per month. Our system currently tracks postings from more than 83 observed customers.

Puck Job Posting Statistics (last 6 months)

MonthNew JobsCompaniesCountries
2026-085286118
2026-076765721
2026-063573812

How to access Job Postings from Puck?

The easiest way to access job postings from Puck is through Techmap's Job Posting API. By subscribing to the API, you can filter results to return only jobs originating from Puck. With the free BASIC plan, you can test and use 100 queries per month and get up to 1000 free job postings per month (each request returns 10 job postings).

To retrieve job postings from a specific source you can use the query parameter portal - in this case you want to use portal=careerpuck. Additional query paramaters include dateCreated, countryCode, city, hasSalary, workPlace, or timezone - you can find all query parameters in our API documentation.

After subscribing to the API, you receive an API token from RapidAPI and can query the API directly on RapidAPI's website, using any programming language, or through command line tools such as curl. For example, to retrieve all job postings from Puck in the last month you can use this query:

curl -X GET "http://daily-international-job-postings.p.rapidapi.com/api/v2/jobs/search?dateCreated=2026-09&portal=careerpuck" -H "Authorization: Bearer <YOUR-TOKEN>"

What does Techmap's Job Postings API for Puck cover?

Techmap provides Puck job postings in structured, normalized JSON format suitable for analytics and large-scale ingestion. Each job posting includes, among other fields, the job title, full description, location, company, employment type, work place, skills, and source. A complete field list is available in the Job API Data Dictionary and Job Data Overview.

Why use Techmap's Job Postings API for Puck?

Techmap's job posting API for Puck provides normalized postings in a consistent JSON schema, covering diverse industries and occupations with continuous updates. The unified data model handles source variations cleanly, reducing integration overhead in analytics pipelines and job board systems. Bulk data files are available on AWS S3 for high-volume ingestion.

How to build Puck-based Niche Job Boards?

Leverage Puck's job data to build specialized job boards targeting specific industries, skills, or locations. By using high-quality job postings, you can offer tailored opportunities that attract a focused audience. This approach enhances user engagement and positions your platform as a go-to resource for every niche.

How many companies use Puck for hiring?

Techmap tracks job postings from more than 83 observed customers that use Puck as part of their hiring strategy. These companies range from early-stage startups to large multinational enterprises.

What countries are covered by Puck?

Techmap identifies Puck job postings across more than 21 countries - mainly in the USA. Their customers are distributed across these regions and share their job openings to attract applicants.

Is there a free way to test Puck job postings?

Yes. Techmap's Job Posting API has a BASIC subscription plan that allows 100 API free requests returning up to 1000 job postings per month, enabling free evaluation of Puck job data.

Why use a unified job posting API instead of scraping Puck?

A unified API provides normalized data structures, consistent updates, and reduced maintenance overhead compared to scraping individual websites, whose layouts may change frequently.

Request sample data or API access to evaluate Puck coverage for your use case.

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