# Changelog of LinkedIn Decision-Maker Finder (`netdesignr/linkedin-decision-maker-finder`) Actor

- **URL**: https://apify.com/netdesignr/linkedin-decision-maker-finder/changelog.md
- **Full Actor documentation**: https://apify.com/netdesignr/linkedin-decision-maker-finder.md

## Changelog

### Unreleased

#### Changed

- Disabled legacy custom PPE charge calls by default so live billing relies on the configured Apify dataset-item pricing event unless custom PPE is explicitly enabled.
- Switched the Docker runtime from the Playwright Chrome image to the plain Node actor image because this actor no longer needs a bundled browser.
- Reduced the default and maximum memory to 256 MB for lower per-run platform cost on the HTTP-only runtime.

### 0.1.5 - 2026-05-29

#### Fixed

- Fixed non-LinkedIn company URL parsing so domain-only inputs such as `fagronsterile.com` become useful company search signals instead of empty weak queries.
- Raised company-role discovery confidence for company-only decision-maker searches to reduce false "no results" outputs when candidate title and company match.

### 0.1.4 - 2026-05-29

#### Changed

- Replaced fake Store QA prefills with a deterministic exact-profile match-only run and lowered enrichment defaults to avoid empty/noisy automated tests.

### 0.1.3 - 2026-05-29

#### Changed

- Added an emergency cloud-only profitability freeze until the scheduled Apify pricing correction becomes active.

### 0.1.2 - 2026-05-06

#### Fixed

- Empty Store launches now emit a clear no-charge diagnostic dataset row and exit successfully instead of failing with an opaque validation error.

#### Changed

- Clarified README and input form copy so users know they must provide at least one real input source before running.

### 0.1.1 - 2026-03-26

#### Changed

- Added a clearer README overview of match confidence, enrichment outputs, and lead-routing use cases for Store users.

### 0.1.0 - 2026-03-18

#### Added

- Initial release of LinkedIn Decision-Maker Finder + Enrichment.
- Public-search-based people discovery from queries, rows, people-search URLs, and company URLs.
- Confidence-scored profile matching with explicit match reason codes.
- Public profile enrichment for headline, role, company, experience, education, skills, and about fields.
- Optional public contact enrichment from company websites.
- `RUN_META`, `RUN_SUMMARY`, dataset views, input schema, output schema, README, and tests.