# Changelog of LinkedIn Jobs Scraper | $0.9/1K | No Login (Real-Time) (`apivault_labs/linkedin-jobs-scraper`) Actor

- **URL**: https://apify.com/apivault\_labs/linkedin-jobs-scraper/changelog.md
- **Full Actor documentation**: https://apify.com/apivault\_labs/linkedin-jobs-scraper.md

## Changelog

### 1.7 -- 2026-09-18

- Added an MCP-friendly `workflow`, a safe `maxResults` guard, and compact,
  recruiting, and full output presets while preserving legacy API behavior.
- Reorganized the Apify Console form into eight numbered, task-oriented
  sections and made expensive deep/company enrichment opt-in for new UI runs.
- Added typed Dataset fields plus stable `SUMMARY` and `ERRORS` output links.
- Fixed missing job links by deriving the canonical URL from LinkedIn's stable
  job-posting ID whenever a card omits its visible anchor.

### 1.6 -- 2026-09-04

- New `urls` input: paste one or more LinkedIn jobs search URLs (string or list). URL mode replaces the keyword search; supported URL filters (keywords, location, geoId, distance, date posted `f_TPR`, Easy Apply `f_AL`, under 10 applicants `f_EA`, companies `f_C`) are parsed and reused, and multiple URLs are merged with the existing fingerprint dedup.
- New structured filters: `easyApply` and `under10Applicants` in keyword mode.
- Fixed silently-dead filters: LinkedIn's 2026 AI search ignores the old `f_E` / `f_JT` / `f_WT` URL params, so experience level, job type, and remote selections (in both keyword mode and pasted URLs) are now converted into natural-language terms appended to the search keywords, and the dead params are no longer emitted. Posting age (`postedWithin` / `f_TPR`) still works as a real filter.
- Pagination step increased from 25 to 50 so result pages overlap less and yield more unique jobs.
- New detail-page fields when available: `jobPosterName`, `jobPosterTitle`, `jobPosterPhoto`, `jobPosterProfileUrl` (hiring team), `insights`, `workplaceTypes`, `workRemoteAllowed`, `expireAt`, `postedAtTimestamp`.
- New `includeCompanyDetails` flag (default on): fetches each unique company's public LinkedIn page (up to 25 companies, 4 workers, <=12s each, shared wall-clock budget) and adds `companyWebsite`, `companyEmployeesCount`, `companyDescription`, `companyIndustry`.
- All new fields are optional and additive -- existing inputs, outputs, and KV aggregates are unchanged.

### 1.5.1 -- 2026-09-04

- Fixed the "under maintenance" flag: the default-input run exceeded the platform's automated-test time budget (~5 min). Added a 250s wall-clock budget -- the deep-fetch phase now uses a wider worker pool (up to 8), caps each detail-page request at 15s, and stops launching new fetches when the deadline approaches (partial deep data instead of a timed-out run).
- Skills extraction ~7x faster (precompiled patterns + cheap substring prefilter); identical output.
- Missing `keywords` now exits gracefully with a hint instead of failing the run.

### 1.5 -- 2026-08-26

- Refreshed the Store documentation around job-market research and structured recruitment intelligence.
- Added a fictional visual example and clearer availability notes for salary, applicant, company, and application fields.
- Clarified that `recruiterScore` is a company hiring-market signal, not a candidate score.
- Clarified that DEI and pay-transparency fields are keyword-based research indicators, not legal or workplace-quality verdicts.
- Expanded Dataset views with recruiter score, recruiter tier, and canonical job URL.

### 1.5.6 -- 2026-07-22

- Added experience-range, visa, education, funding, urgency, application, company, and timestamp fields when available.
- Improved salary parsing, application-method classification, company-logo handling, and partial-result reliability.

### 1.5.0 -- 2026-07-22

- Increased supported result volume and improved bulk-run performance.
- Added optional detailed job fields while preserving the existing input and output formats.

### 1.4 -- 2026-07-22

- Improved recovery from transient collection failures and refreshed deployment packaging.

### 1.3 -- 2026-05-23

- Added canonical job URLs, parsed location fields, salary tiers, keyword-based inclusion and pay-transparency indicators, outreach helpers, and top-job/company summaries.
- Added additional CSV fields while preserving existing output names.

### 1.2 -- 2026-05-23

- Added normalized salary, freshness, work mode, skills, benefits, seniority, job category, company hiring signals, filters, summaries, and CSV export.
- Added explainable recruiter scoring for market research and sales prioritization.

### 1.0 -- 2026-05-11

- Initial public job-search release with filters, pagination, deduplication, structured output, and pay-per-result billing.