# Face Finder🕵️ (`api402/face-finder`) Actor

An advanced reverse image search tool for faces across the internet. Discover where an image appears online, find social media profiles, and verify identities using state-of-the-art facial recognition search engines.

- **URL**: https://apify.com/api402/face-finder.md
- **Developed by:** [Synapz (Api402)](https://apify.com/api402) (community)
- **Categories:** AI, Automation, Other
- **Stats:** 5 total users, 3 monthly users, 50.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $18.00 / 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/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

## 🔍 Face Search AI

An advanced, performing fast and highly accurate reverse image searches for faces across the internet. Discover where an image appears online, find social media profiles, track digital footprints, and uncover matched identities from public websites using powerful facial recognition search engines.

### 🌟 Key Features

*   **📂 Direct Image Upload & URL Support:** Easily upload an image directly through the Apify console using the file uploader widget, or provide a public URL to start your search.
*   **🤖 Smart Automation & Captcha Handling:** Features built-in intelligence to simulate human behavior, handle complex website interactions, bypass agreement dialogs, and intelligently solve slider captchas automatically using advanced image pixel analysis.
*   **🌐 Proxy Integration:** Fully compatible with Apify Residential Proxies to ensure robust, uninterrupted searches and avoid geolocation or IP-based blocking.
*   **📊 Comprehensive Structured Output:** Delivers clean JSON dataset results that include Base64 images, match confidence scores, exact source URLs, and unique internal identifiers.
*   **📸 Error & Debug Snapshots:** Automatically captures debugging screenshots if a search fails or a captcha gets blocked, ensuring complete transparency and easy troubleshooting directly from your dataset.

### 🎯 Top Use Cases

*   **🕵️ OSINT & Investigations:** An essential tool for Open-Source Intelligence (OSINT) gathering, verifying identities, identifying bad actors, and detecting fake accounts or catfishing.
*   **🛡️ Brand & Copyright Protection:** Monitor your own face or a client's images to find unauthorized usage, impersonation, or copyright infringement across social media platforms like Instagram, LinkedIn, and websites.
*   **🔎 Research & Journalism:** Trace the origin of viral images and identify individuals from public web records quickly and accurately.

### 🛠️ How it Works

1.  **Input Configuration:** Provide an `image_url` (either a direct HTTP URL or an uploaded file).
2.  **Proxy Setup:** Configure residential proxies for optimal success rates (enabled by default).
3.  **Execution:** The actor deploys a headless browser, navigates to a top facial recognition engine, securely uploads the image, bypasses necessary automated checks, and waits for the search to complete to 100%.
4.  **Data Extraction:** Once the search completes, the actor parses the responses to extract the matched visual profiles and saves them into the dataset.

### 📝 Input Parameters

The Actor is designed for simplicity. Here is a breakdown of the input schema:

*   **Image (`image_url`):** The image you want to scan. You can upload an image file directly from your computer using the UI widget or paste a direct image URL.
*   **Proxy Configuration (`proxy_configuration`):** Residential Proxies are highly recommended (and set as the default) to prevent the search engine from flagging the automated requests as bots.

### 📈 Output Data Structure

The Actor pushes the data directly into your Apify Dataset. Below is a sample of the JSON output format provided for each matched face:

```json
{
  "image": "data:image/webp;base64, ...",
  "score": 85,
  "url": "https://www.instagram.com/*****"
}
````

#### Explanation of Output Fields:

- `image`: A Base64 representation or URL of the matched face found online (renderable directly in the Apify console).
- `score`: The confidence/accuracy match score (usually 0 to 100, where higher is better).
- `url`: The direct link to the social profile or webpage where the face was discovered.

### 💡 Tips for Best Results

- **Use High-Quality Images:** For the best match scores, upload clear, well-lit, high-resolution, front-facing photos without excessive blur, sunglasses, or heavy obstructions.
- **Enable Residential Proxies:** To ensure long-running reliability without IP bans, maintaining the default residential proxies network setting is strongly advised.

# Actor input Schema

## `image_url` (type: `string`):

Upload an image or provide a URL of the image to analyze.

## `proxy_configuration` (type: `object`):

Select proxies to be used. Residential proxies are strongly recommended to avoid blocks.

## Actor input object example

```json
{
  "image_url": "https://play-lh.googleusercontent.com/EicDCzuN6l-9g4sZ6uq0fkpB-1AcVzd6HeZ6urH3KIGgjw-wXrrtpUZapjPV2wgi5R4=w240-h480-rw",
  "proxy_configuration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

## `overview` (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 = {
    "image_url": "https://play-lh.googleusercontent.com/EicDCzuN6l-9g4sZ6uq0fkpB-1AcVzd6HeZ6urH3KIGgjw-wXrrtpUZapjPV2wgi5R4=w240-h480-rw",
    "proxy_configuration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("api402/face-finder").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 = {
    "image_url": "https://play-lh.googleusercontent.com/EicDCzuN6l-9g4sZ6uq0fkpB-1AcVzd6HeZ6urH3KIGgjw-wXrrtpUZapjPV2wgi5R4=w240-h480-rw",
    "proxy_configuration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("api402/face-finder").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 '{
  "image_url": "https://play-lh.googleusercontent.com/EicDCzuN6l-9g4sZ6uq0fkpB-1AcVzd6HeZ6urH3KIGgjw-wXrrtpUZapjPV2wgi5R4=w240-h480-rw",
  "proxy_configuration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call api402/face-finder --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=api402/face-finder",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Face Finder🕵️",
        "description": "An advanced reverse image search tool for faces across the internet. Discover where an image appears online, find social media profiles, and verify identities using state-of-the-art facial recognition search engines.",
        "version": "0.0",
        "x-build-id": "Q8qrr8IgUxmhctOYs"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/api402~face-finder/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-api402-face-finder",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/api402~face-finder/runs": {
            "post": {
                "operationId": "runs-sync-api402-face-finder",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/api402~face-finder/run-sync": {
            "post": {
                "operationId": "run-sync-api402-face-finder",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": [
                    "image_url"
                ],
                "properties": {
                    "image_url": {
                        "title": "Image",
                        "type": "string",
                        "description": "Upload an image or provide a URL of the image to analyze."
                    },
                    "proxy_configuration": {
                        "title": "Proxy Configuration",
                        "type": "object",
                        "description": "Select proxies to be used. Residential proxies are strongly recommended to avoid blocks.",
                        "default": {
                            "useApifyProxy": true,
                            "apifyProxyGroups": [
                                "RESIDENTIAL"
                            ]
                        }
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```