# Changelog of Google Trends API & Scraper — pytrends alternative (`insanedev/google-trends-scraper`) Actor

- **URL**: https://apify.com/insanedev/google-trends-scraper/changelog.md
- **Full Actor documentation**: https://apify.com/insanedev/google-trends-scraper.md

## Changelog

### 1.0 — first public release

- Google Trends data for any list of search terms: interest over time, by subregion, US metro area (DMA) and city,
  related queries and related topics (best effort).
- **More than 5 terms on one scale**: up to 50 terms per comparison line, chained through an anchor term, with a
  ladder that re-measures small terms next to terms of similar popularity (`normalization`).
- **Daily data for long periods**: daily windows of up to 269 days stitched and calibrated on Google's weekly or
  monthly series (`dailyData`, `stitching`).
- **Consensus sampling**: every timeline is the per-point median of 3 independent samples (`samples`,
  `samplingSpread`).
- Several regions per run, Google Trends URLs, search by topic id, Google Shopping / YouTube / News / Images.
- Same input and output field names as Apify's Google Trends Scraper.
- Data quality: filler-query flags (`likelyNoise`, `relatedQueriesNoiseShare`), trend direction, seasonality,
  Google data-collection breaks (`dataBreaks`), plain-text `summaryText`, optional low search volume regions.
- Nested (one row per term and region) or flat (one row per data point) output.
- Pay per result; failed requests and terms without data are free.