# Changelog of Google Maps Local Business Lead Trigger Radar (`nexascout/google-maps-local-business-lead-trigger-radar`) Actor

- **URL**: https://apify.com/nexascout/google-maps-local-business-lead-trigger-radar/changelog.md
- **Full Actor documentation**: https://apify.com/nexascout/google-maps-local-business-lead-trigger-radar.md

## Changelog

### 0.1.6

- Reduced the default Store-test workload to 5 businesses so the Actor can reliably finish with a non-empty dataset inside Apify's five-minute automated test window.
- Disabled recent-review collection in the default input and set the default review sample size to 0; users and saved Tasks can still enable review analysis when needed.
- Updated the README quick-start example to match the safer default input.

### 0.1.5

- Added the required dataset `views` configuration so saved Tasks can be published as standalone Apify Store examples.
- Added focused Lead overview, Contact details, and Change monitoring result views.
- Declared the dataset item schema as JSON Schema Draft 7 for explicit validation compatibility.

### 0.1.4

- Updated the run `OUTPUT` pricing metadata to match the live Store price of $0.008 per analyzed business ($8 per 1,000).

### 0.1.3

- Aligned the public README with the launch price of $0.008 per analyzed local business ($8 per 1,000).
- Clarified that every analyzed business written to the dataset is billable, while `isQualifiedLead` remains a filtering classification.
- Updated the public Actor title and description to match the Store listing.

### 0.1.2

- Increased default Actor memory from 1 GB to 2 GB after production testing showed critical memory pressure at 1 GB.
- Changed the default Google Maps and website-enrichment concurrency from 2 to 1 for safer, more predictable runs.
- Kept concurrency configurable up to 4 for advanced users who explicitly allocate sufficient resources.

### 0.1.0

- Added Google Maps niche and location discovery.
- Added direct Google Maps search and place URL support.
- Added public website email and social-link enrichment.
- Added recent negative-review and owner-response sampling.
- Added persistent baselines and scheduled-run change detection.
- Added explainable lead scoring, outreach reasons, and recommended services.
- Added strict browser, memory, request, and enrichment limits.
- Added initial pricing-safety guidance for analyzed-business events.