REST + MCP

Five public-data endpoints behind one API key.

YouTube transcripts for a single video or an entire channel, Google Trends interest and related queries, and Google Play and App Store reviews. No browsers to drive, no per-source accounts to keep alive, one response shape to parse.

Try it before you sign up with the shared demo key wdt_demo_public. It is rate limited and capped at 10 rows per call on every tool, Google Trends included, and it answers on every tool.

What you get

Every endpoint returns ok, count, seconds and a data array, so an empty result is visible as count: 0 rather than as a missing field.

youtube_transcript

Full transcript text for up to 50 videos in one call, with language, an auto-generated flag, word count, title and channel.

youtube_channel_transcripts

Enumerate a channel, @handle or playlist and get every recent video's metadata and transcript together. Or pass search: your query and go straight from a question to transcripts.

google_trends

Interest over time, interest by region, and top plus rising related queries for up to five keywords.

google_play_reviews

Google Play reviews by app, country and language, including the developer's reply.

app_store_reviews

App Store customer reviews by app, country and sort order, plus the app's own metadata row when Apple's lookup returns one. Apple's public feed comes back with no reviews for some app + country + sort combinations; re-try with another country or sort order.

REST

Send your key as x-api-key or Authorization: Bearer.

curl "https://web-data-toolkit.vercel.app/api/trends?keyword=moissanite%20ring&geo=US" \
  -H "x-api-key: YOUR_KEY"

curl "https://web-data-toolkit.vercel.app/api/youtube/transcript?url=dQw4w9WgXcQ" \
  -H "x-api-key: YOUR_KEY"
PathRequiredCommon options
/api/youtube/transcripturllang, translateTo, segments
/api/youtube/channelsource — channel, playlist, or search: querymax, lang
/api/trendskeywordgeo, timeframe, byRegion, related
/api/google-play/reviewsappcountry, lang, max, rating
/api/app-store/reviewsappcountry, sort, max, minRating, maxRating

MCP

The same five tools, spoken as Model Context Protocol over HTTP, for Claude, Cursor and any other MCP client.

{
  "mcpServers": {
    "web-data-toolkit": {
      "type": "http",
      "url": "https://web-data-toolkit.vercel.app/mcp",
      "headers": { "x-api-key": "YOUR_KEY" }
    }
  }
}

Built for a context window. An MCP result is spent out of the model's context, so these tools return a reading, not a dump. One Google Trends keyword is around 150 rows and about 34,000 characters of JSON; the MCP answer is around 1,300 characters and says where interest sits against the window, the top regions, and the top and rising related queries. Pass raw: true on any tool for every field.

Clients that accept only a URL can pass the key in the query string instead: https://web-data-toolkit.vercel.app/mcp?key=YOUR_KEY. The server is stateless, so there is no session to manage.

Which key works here. Use wdt_demo_public to start. A RapidAPI subscription issues a key for RapidAPI's own gateway, and that key does not authenticate against this endpoint, so it will not work for MCP. For a personal key with higher limits, open an issue and say roughly what volume you need.

Speed

Two runs of our own buyer check through this gateway on 2026-09-22, one call each, minutes apart. Real fetches from the source, not a cache — which is why the two runs differ.

CallTimeRows
YouTube transcript, one video8.1s and 17.6s1
Google Play reviews, one app4.4s and 7.3s6
App Store reviews, one app4.4s and 6.0s6
Google Trends, one keyword, US7.3s and 8.1s154
A channel, two videos with transcripts6.6s and 13.5s3

The first call after an idle period pays a cold start, and a whole channel takes longer than any single call here. The slowest call in those two runs was 27.4 seconds. Set your client timeout to at least 60 seconds.

Honest limits

  1. Public data only. Nothing behind a login, no personal data beyond the public author name a platform already shows on a review.
  2. Transcripts are whatever the platform publishes. Auto-generated captions carry the errors the machine made, and the response tells you which kind you received.
  3. Google Trends numbers are relative interest, the way Google reports them. They are not search volumes.
  4. Review feeds are paginated by the platform, so very large back-catalogues come back in pages rather than all at once.
  5. This is a small independent service. There is no published uptime figure yet because there is not enough history to state one honestly.