All sources

Rotten Tomatoes

Build a pipeline

Search movies and TV, collect movie reviews, discover critics by letter, and collect critic reviews through the native RT client.

How a pipeline uses this source

SourcesSearch — Find movies and TV titles in the public catalog.
Step
Search
Find movies and TV titles in the public catalog.
Start
Movie Reviews — Read public review metadata for a specific movie.
Step
Movie Reviews
Read public review metadata for a specific movie.
Start
Critic Directory — Read matching public critic profiles from the directory.
Step
Critic Directory
Read matching public critic profiles from the directory.
Start
Critic Reviews — Read public review metadata for a specific critic.
Step
Critic Reviews
Read public review metadata for a specific critic.
Start
Checks — 11 saved checks run against the live site and a stored copy of the page. Last passed 10 Oct 2026. When the site changes, Jason repairs the source and publishes a new revision.
Step
Checks
11 saved checks run against the live site and a stored copy of the page. Last passed 10 Oct 2026. When the site changes, Jason repairs the source and publishes a new revision.
Your Dataset — Rows delivered to your sheet, warehouse, alerts or assistant on the schedule you choose.
Output
Your Dataset
Rows delivered to your sheet, warehouse, alerts or assistant on the schedule you choose.
End
Sources — algolia.net, rottentomatoes.com
Sources
algolia.net, rottentomatoes.com
  1. 01 · sources

    Sources

    algolia.net, rottentomatoes.com

  2. 02

    Search

    Find movies and TV titles in the public catalog.

  3. 03

    Movie Reviews

    Read public review metadata for a specific movie.

  4. 04

    Critic Directory

    Read matching public critic profiles from the directory.

  5. 05

    Critic Reviews

    Read public review metadata for a specific critic.

  6. 06

    Checks

    11 saved checks run against the live site and a stored copy of…

  7. 07 · output

    Your Dataset

    Rows delivered to your sheet, warehouse, alerts or assistant…

What Rotten Tomatoes does

Search movies and TV, collect movie reviews, discover critics by letter, and collect critic reviews through the native RT client.

Collects: Movies and TV, collect movie reviews, discover critics by letter, and collect critic reviews

Reads

www.rottentomatoes.compublic-api.rottentomatoes.com79frdp12pn-dsn.algolia.net

Limitations

Upstream availability is not guaranteed. Search returns a ranked snapshot, not an exhaustive catalogue. Reviews preserve pagination_complete and review_extraction_cap; a cap is not completeness. Full reviews and busy critic-directory letters may exceed the effective host timeout or output bound (current evidence: 300 seconds / 4 MiB) and fail rather than truncate silently. No recursive publisher article extraction. Wrapper timeout accepts 1–3595 seconds with unchanged 240-second default; callers may pass 540 seconds after the host rollout. One-hour / 128 MiB host limits are planned and not certified by these saved tests; enclosing run deadline and cancellation remain binding.

Site and app names identify the source only. Jsonify is not affiliated with or endorsed by them. How Jsonify reads sites, and how a site owner can opt out: for site owners.

Need something different?

Describe it. Get verified rows, kept current.

Migrate from your current tool

Share what you run on your current tool today. Jason, Jsonify’s AI data engineer, reads it and proposes the same pipelines on Jsonify, with checks and repairs built in.

Don’t include passwords or API keys. Exports, task configs and screenshots can be attached in Jsonify on the next step. Privacy

Connect your data assistant

Build datasets and work with your data in Claude, ChatGPT, Copilot or another assistant.

Connect in Claude

  1. Open the Jsonify connector: Open on Claude.ai ↗
  2. Select Connect and sign in to Jsonify.
  3. In a chat, enable Jsonify under + → Connectors and describe the data you need.
Advanced

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No directory? Add it by hand: Settings → Connectors → + Add custom connector, name it Jsonify, paste the server URL below, then Connect.

Server URLhttps://factory.jsonify.com/mcp

Official Claude custom-connector guide ↗

Then say: “build me a dataset of competitor product prices and availability, refreshed daily”. Full instructions per client on /connect.