IMDb API for Openclaw

Integrate 19 specialized IMDb operations into your AI agent for comprehensive title research, cast analysis, and release monitoring.

justoneapi
v1.0.8
Apr 23, 2026
0
937
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install justoneapi-imdb

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install justoneapi-imdb using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is IMDb API?

The IMDb API skill is a robust integration designed for developers and AI agents who require precise entertainment data directly from the world's most authoritative movie database. By wrapping JustOneAPI operations, this skill allows Openclaw Skills to fetch structured data ranging from production status to granular cast and crew details.

This integration is specifically tailored for scenarios where high-fidelity, API-backed answers are required over hallucinated summaries. It provides a technical bridge for agents to interact with IMDb identifiers, ensuring that metadata enrichment and talent research workflows are accurate and reliable within the ecosystem of Openclaw Skills.

IMDb API Use Cases

  • Tracking title release expectations and production statuses for upcoming media monitoring.
  • Enriching existing movie and TV show catalogs with extended details, genres, and image references.
  • Performing deep-dive talent research by retrieving top cast and crew information for specific IMDb IDs.
  • Automating title lookups and base metadata retrieval for media-centric applications.

How IMDb API Works

  1. The AI agent identifies the specific IMDb requirement, such as finding a release date or a cast list.
  2. The agent selects the most efficient operation from the 19 available endpoints, such as titleBaseQuery or titleTopCastAndCrew.
  3. The agent validates input parameters including the mandatory IMDb ID and optional filters like languageCountry.
  4. A command-line request is triggered using the JustOneAPI token to fetch the live IMDb data.
  5. The system processes the JSON response, filtering for the most relevant fields to deliver a structured answer to the user.

IMDb API Setup

To deploy this skill within your Openclaw Skills environment, follow these steps:

Prerequisites

  • Node.js environment installed.
  • A valid Just One API token from the official dashboard.

Environment Configuration

Expose your API token as an environment variable:

export JUST_ONE_API_TOKEN="your_api_key_here"

Command Structure

Invoke operations via the provided runner script:

node ./bin/run.mjs --operation "titleReleaseExpectationQuery" --token "$JUST_ONE_API_TOKEN" --params-json '{"id":"tt1234567"}'

IMDb API Data Schema & Taxonomy

The IMDb API skill organizes data into functional schemas to support complex Openclaw Skills workflows. Below are the primary data categories:

Data Category Key Parameters Typical Output Fields
Release Monitoring id, languageCountry productionStatus, releaseDates, anticipation signals
Extended Metadata id, acceptCache images, genres, detailed plot summaries
Talent & Credits id, limit name, role, profileReference, credits
Basic Lookup id, category titleText, releaseYear, titleType

IMDb API Advanced Features

  • Support for 19 granular IMDb endpoints to minimize data over-fetching and optimize token usage.
  • Localized data retrieval using the languageCountry parameter for international title research.
  • Intelligent cache management with the acceptCache flag to improve response times in high-frequency Openclaw Skills.
  • Structured output rules that ensure the AI agent prioritizes decision-relevant metadata before displaying raw JSON results.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Requires
Bins node
Github Stars: 0
forks: 0

Featured*