# IMDb Person Details Scraper (`coder_zoro/imdb-person-details-scraper`) Actor

Fetch full IMDb details for one or more persons (actors, directors, etc.) using their IMDb IDs. Returns structured JSON including biography, filmography, known for titles, awards, and other metadata.

- **URL**: https://apify.com/coder_zoro/imdb-person-details-scraper.md
- **Developed by:** [Zoro](https://apify.com/coder_zoro) (community)
- **Categories:** Automation
- **Stats:** 112 total users, 1 monthly users, 100.0% runs succeeded, 2 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.99 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

IMDb Person Details Bulk Scraper – Apify Actor

## Overview

Fetch full IMDb details for one or more persons (actors, directors, etc.) using their IMDb person IDs.\
The actor calls the IMDb scraper API for each ID and pushes structured JSON responses to the Apify dataset.

## User Input

keyword_1 (array of strings, required)
Paste one or more IMDb person IDs in the input field, each on a new line. Each line will be processed as a separate person.

Example Input:

```json
{
  "keyword_1": [
    "nm0366389",
    "nm0000138"
  ]
}
```

## Output

Each entry in the Apify dataset corresponds to a single IMDb person and may include:

- name
- biography
- birth date / death date
- known for movies/series
- filmography (list of titles)
- awards
- IMDb ID
- other metadata

Example Output:

```json
{
  "id": "nm0366389",
  "name": "Kevin Hart",
  "birthDate": "1979-07-06",
  "deathDate": null,
  "bio": "Kevin Darnell Hart is an American comedian and actor...",
  "knownFor": [
    {"title": "Jumanji: Welcome to the Jungle", "year": 2017},
    {"title": "Central Intelligence", "year": 2016}
  ],
  "filmography": [
    {"title": "Ride Along 2", "year": 2016, "role": "Ben Barber"}
  ],
  "awards": [
    {"title": "MTV Movie Award", "year": 2015, "category": "Best Comedic Performance"}
  ]
}
```

## How to Run

1. Paste IMDb person IDs in the input field (one per line).
2. Run the actor. Each person's structured JSON will appear in the Apify dataset.
3. Download the dataset in JSON, CSV, or Excel format from the Apify console if needed.

# Actor input Schema

## `keyword_1` (type: `array`):

Paste IMDb person IDs, one per line. Each line will be processed as a separate person.

## Actor input object example

```json
{
  "keyword_1": [
    "nm0366389",
    "nm0000138"
  ]
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "keyword_1": [
        "nm0366389",
        "nm0000138"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("coder_zoro/imdb-person-details-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "keyword_1": [
        "nm0366389",
        "nm0000138",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("coder_zoro/imdb-person-details-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "keyword_1": [
    "nm0366389",
    "nm0000138"
  ]
}' |
apify call coder_zoro/imdb-person-details-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,coder_zoro/imdb-person-details-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/I3E0fNpiOraozaicq/builds/e5oIxgfxMLPkNxyYj/openapi.json