# IMDB People Scraper - Low-cost💲🔥🎭⭐ (`delectable_incubator/imdb-people-scraper-low-cost`) Actor

Scrape IMDb actor and public figure data 🧑‍🎤🎬 with a powerful entertainment database scraper. Extract names, profile images, professions, known roles, and IMDb profile URLs using keyword searches. Ideal for casting research, talent discovery, media analytics and film production insights 📊🚀

- **URL**: https://apify.com/delectable\_incubator/imdb-people-scraper-low-cost.md
- **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community)
- **Categories:** Automation, Lead generation, Videos
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.00005 / actor start

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).


# README

<p align="center">
<img src="https://i.ibb.co/jkNS73wX/readme.png" alt="IMDb People Scraper" width="100%">
</p>

---

## 🎭⭐ IMDb People Scraper | Bulk IMDb Celebrity & Actor Data Scraper | Apify Actor

### 🚀 Extract IMDb People Data in Seconds (No Code)

The **IMDb People Scraper (Apify Actor)** is a powerful, scalable and SEO-optimized tool designed to extract structured data about actors, actresses, directors, and public figures from IMDb.

Simply provide keywords or bulk names and instantly collect detailed celebrity profiles, filmography data, images, nicknames, and known-for titles — perfect for entertainment platforms, casting databases, AI datasets, and media analytics.

---

### 🔥 Why This IMDb Scraper?

✔ Best IMDb People Scraper on Apify

✔ Supports **Bulk Keyword Scraping (Multi-Search Mode)**

✔ Fast & scalable celebrity data extraction

✔ 100% structured JSON / CSV / Excel output

✔ Ideal for entertainment & media intelligence

✔ Perfect for casting agencies, fansites & AI datasets

✔ No coding required

---

### 🎯 What This Scraper Does (IMDb People Data Extraction)

This Apify Actor extracts structured information from IMDb people profiles and search results.

#### 📌 Core Features:

✅ Scrape IMDb people profiles

✅ Bulk keyword search scraping (SEO BOOST 🚀)

✅ Extract full name & disambiguator

✅ Extract IMDb ID

✅ Extract profile image + metadata

✅ Extract AKAs (Also Known As)

✅ Extract nicknames

✅ Extract known-for filmography

✅ Extract movie/TV titles with metadata

✅ Extract IMDb profile links

✅ Clean structured dataset output

✅ High-speed extraction engine

---

### ⚡ Input Configuration (Simple & Powerful)

#### 🔥 BULK KEYWORD MODE (SEO BOOST 🚀)

````

{
"keywords": \[
"tom hanks",
"scarlett johansson",
"leonardo dicaprio",
"robert downey jr",
"zendaya",
"will smith"
],
"maxitems": 50
}

```

Supports both single keyword and bulk celebrity scraping at scale.

---

### 📊 Extracted People Data (Structured Output)

| Field         | Description            |
| ------------- | ---------------------- |
| id            | IMDb unique person ID  |
| name          | Full name              |
| disambiguator | Suffix (II, III, etc.) |
| image_url     | Profile image          |
| image_caption | Image description      |
| image_height  | Image height           |
| image_width   | Image width            |
| akas          | Alternate names        |
| nicknames     | Nicknames list         |
| known_for     | Filmography highlights |
| linkto        | IMDb profile URL       |

---

### 💡 Use Cases (High Demand SEO Keywords)

This IMDb scraper is used for:

🎭 Celebrity database scraping

📊 Entertainment analytics

🎬 Film industry research

🌐 Fan websites & wikis

🤖 AI training datasets (celeb data)

📡 Media monitoring systems

📈 Trend & popularity analysis

⚡ Bulk IMDb data extraction

---

### 🚀 Key Features (Apify SEO Optimized)

⚡ Bulk keyword scraping support

🌍 Global IMDb coverage

📌 Smart search engine extraction

🧠 Clean structured output

📊 High-speed scraping engine

🔁 Auto retry system

💾 Export-ready datasets

⚙️ Scalable cloud execution

---

### 📤 Output Formats Supported

✔ JSON (API Ready)

✔ CSV (Excel analysis)

✔ Excel XLSX

✔ XML

✔ HTML

✔ JSONL

---

### 📦 Example Output

```

\[
{
"id": "nm1034247",
"name": "Kendall Schmidt",
"disambiguator": "II",
"image\_url": "https://m.media-amazon.com/images/M/MV5B....jpg",
"image\_caption": "At an event for Nickelodeon Kids' Choice Awards 2010",
"image\_height": 400,
"image\_width": 306,
"akas": \["Big Time Rush"],
"nicknames": \["K-Dog", "Kendizzle"],
"known\_for": \[
{
"title": "Big Time Rush",
"release\_year": 2009,
"end\_year": 2013,
"title\_type": "TV Series",
"principal\_category": "Actor"
}
],
"linkto": "https://www.imdb.com/name/nm1034247/"
}
]

````

---

### 🔥 Why This is the BEST IMDb People Scraper on Apify?

✔ Optimized for Apify marketplace ranking

✔ High-performance celebrity data extraction engine

✔ Bulk keyword support (rare feature)

✔ Clean structured entertainment dataset

✔ Enterprise-ready scalability

✔ Perfect for SEO traffic & data marketplaces

---

### 💸 Pricing

This scraper runs on a **pay-per-result pricing model**.

You only pay for successfully extracted records.

💳 **Price:** $1.98 / 1,000 results

---

### ❓ FAQ (SEO BOOST SECTION)

#### Can I scrape multiple celebrities at once?

Yes — Bulk keyword mode is fully supported.

#### Can I extract full filmography?

Yes — known-for section includes structured titles.

#### Is this scraper fast?

Yes — optimized for high-speed IMDb extraction.

#### Is coding required?

No — 100% no-code Apify Actor.

#### Can I export data?

Yes — JSON, CSV, Excel, XML, HTML supported.

---

### ⚠️ Disclaimer

This tool is not affiliated with IMDb.

It is an independent data extraction solution.

---

### 🔗 Related Actors (PrimeScrape Ecosystem)

We are building a full PrimeScrape Entertainment Intelligence Suite.

👉 Coming Soon 🚀

---

### 🌍 PrimeScrape Ecosystem

Built for data scraping, automation, AI training datasets, and entertainment intelligence at scale.

🎬 Entertainment data extraction

📊 Media analytics

🎭 Celebrity intelligence

🤖 AI datasets

⚙️ Automation pipelines

📈 Trend analysis

---

### 📬 Support

⭐⭐⭐⭐⭐ Leave a review if you like this scraper
📩 Contact for custom scraping solutions or enterprise integrations

# Actor input Schema

## `keywords` (type: `array`):

List of keywords to search for on IMDB People (e.g., Director, Actor, Producer)
## `maxitems` (type: `integer`):

Maximum number of results you want to scrape per keyword 📊

## Actor input object example

```json
{
  "keywords": [
    "Director",
    "Actor"
  ],
  "maxitems": 50
}
````

# Actor output Schema

## `results` (type: `string`):

No description

# 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 = {
    "keywords": [
        "Director",
        "Actor"
    ],
    "maxitems": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/imdb-people-scraper-low-cost").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 = {
    "keywords": [
        "Director",
        "Actor",
    ],
    "maxitems": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("delectable_incubator/imdb-people-scraper-low-cost").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "keywords": [
    "Director",
    "Actor"
  ],
  "maxitems": 50
}' |
apify call delectable_incubator/imdb-people-scraper-low-cost --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=delectable_incubator/imdb-people-scraper-low-cost",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "IMDB People Scraper - Low-cost💲🔥🎭⭐",
        "description": "Scrape IMDb actor and public figure data 🧑‍🎤🎬 with a powerful entertainment database scraper. Extract names, profile images, professions, known roles, and IMDb profile URLs using keyword searches. Ideal for casting research, talent discovery, media analytics and film production insights 📊🚀",
        "version": "0.0",
        "x-build-id": "KI7FzSfrDyzA3uhLX"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/delectable_incubator~imdb-people-scraper-low-cost/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-delectable_incubator-imdb-people-scraper-low-cost",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/delectable_incubator~imdb-people-scraper-low-cost/runs": {
            "post": {
                "operationId": "runs-sync-delectable_incubator-imdb-people-scraper-low-cost",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/delectable_incubator~imdb-people-scraper-low-cost/run-sync": {
            "post": {
                "operationId": "run-sync-delectable_incubator-imdb-people-scraper-low-cost",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "required": [
                    "keywords"
                ],
                "properties": {
                    "keywords": {
                        "title": "The keywords you wish to search for on IMDB (People) 🔍🌐",
                        "type": "array",
                        "description": "List of keywords to search for on IMDB People (e.g., Director, Actor, Producer)",
                        "default": [
                            "Director",
                            "Actor"
                        ],
                        "items": {
                            "type": "string"
                        }
                    },
                    "maxitems": {
                        "title": "Maximum number of results you want to scrape per keyword 📊",
                        "type": "integer",
                        "description": "Maximum number of results you want to scrape per keyword 📊",
                        "default": 50
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```