When a run finishes, the actor now tells Jobo its run id, your Apify user id, whether you are on a paid Apify plan, how many results it was charged for and the total charged, so we can track our Store revenue. Your input and the jobs it returned are not sent. Results and pricing are unchanged.
Jobs now carry an occupation object: what kind of job it is, as a category › subcategory › occupation (e.g. Healthcare › Nursing › Registered Nurse) with its id, ISCO-08 code and O*NET-SOC codes. It is omitted when a job is not classified. The output table gains Occupation and Job category columns. New inputs filter on it: Job Category and Job Subcategory (pick from the list) and Occupations by id (copy occupation.id from any result).
The full company profile (include_company_details) no longer carries personal data or news: founders, leadership, phone_number, email_address and press_references are removed, along with the Founders and Leaders columns in the output table.
Company filters now explain themselves. The run log, the run status message, and a
new COMPANY_MATCH_REPORT output record show which of your companies_include
names matched, which did not, and which are indexed on a different ATS. Zero-result
runs name the cause instead of "No jobs found matching criteria".
The locations field is no longer pre-filled — it silently restricted every run to
a few example cities, which was the most common reason a correct company name
returned nothing.
- Maintenance: input-schema cleanup.
- Added
posted_before for bounded posting-date windows.
- Enforced a minimum
page_size of 1.
- The full
description field now appears directly in the job-listings view.
- Company enrichment is opt-in:
include_company_details defaults to off; jobs carry a lightweight company preview.
- Opt-in company enrichment:
include_company_details replaces the company preview with the full profile (funding, leadership, ratings, tech stack, H1B history), fetched once per unique company.
- New "Company details" output view.
- Richer job shape: AI-extracted
qualifications (typed hard/soft skills, education, certifications), responsibilities, benefits, summary, and normalized_title.
- Geocoded
locations (city / region / country / latitude / longitude).
- New filters: salary range, skills include/exclude, companies include/exclude, work model, experience level, employment type, and negative query syntax.
- Work-authorization signals:
is_work_auth_required, is_h1b_sponsor, is_clearance_required.