# Apify (`doshikevin361/apify`) Actor

- **URL**: https://apify.com/doshikevin361/apify.md
- **Developed by:** [Kevin Doshi](https://apify.com/doshikevin361) (community)
- **Categories:** Agents, E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

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

## 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

## Facebook Bright Data mirror — Apify Actor

Location: `~/apify-facebook-brightdata-mirror` (home folder में नया project).

### यह Actor क्या करता है?

1. **Apify platform** पर चलने वाला छोटा **Node.js** प्रोग्राम है (Docker image में pack होकर)।
2. **Tech stack:** `apify` npm package (Apify SDK v3) — `Actor.init()` → `getInput()` → `pushData()` → `exit()`।
3. **Dataset में हर item** का shape वही है जो आपके backend में `social-buzzbrand-api/src/crons/facebook.js` Bright Data snapshot के बाद `.map(post => …)` से बनता है (lines ~251–287)।

यानी `runApifyActor()` जो items लौटाता है, वैसा ही structure — ताकि बाद में Bright Data की जगह इस Actor को plug किया जा सके।

### Apify Actor कैसे काम करता है? (short)

| Piece | Role |
|--------|------|
| **Dockerfile** | `apify/actor-node:20` image — Node + Apify runtime |
| **`.actor/actor.json`** | Actor name, version, Dockerfile path, input schema |
| **`src/main.js`** | Entry — Apify SDK calls |
| **`Actor.pushData(obj)`** | हर object default **dataset** में एक row की तरह जाता है (API में `listItems()` वही पढ़ता है) |
| **Input** | Console / API से JSON — `INPUT_SCHEMA` से form बनता है |

Docs: [Actor definition](https://docs.apify.com/platform/actors/development/actor-definition), [JS SDK](https://docs.apify.com/sdk/js).

### Output — हर dataset item में fields (facebook.js mapping के अनुसार)

| Field | Source (Bright Data raw) |
|--------|---------------------------|
| `feedback_id` | `post.post_id` |
| `post_url`, `top_level_url` | `post.url` |
| `text` | `post.content` |
| `likes` | `post.likes` या `count_reactions_type` sum |
| `comments` | `post.num_comments` |
| `shares` | `post.num_shares` |
| `video_views` | `post.video_view_count` |
| `timestamp` | IST-adjusted unix seconds (string) |
| `date_posted` | `post.date_posted` |
| `media` | `post.attachments[]` → Graph-like objects |
| `page_name` | `page_name` / `user_username_raw` |
| `facebook_id` | `profile_id` |
| `page_info.*` | `page_followers`, `page_logo`, … |

पूरा mapping कोड: `src/normalize.js` (comments में line-by-line reference)।

### Local चलाना

```bash
cd ~/apify-facebook-brightdata-mirror
npm install
npx apify-cli run
````

नतीजा: `storage/datasets/default/*.json` में items।

बिना Apify CLI: `node src/test-normalize.js` — सिर्फ normalize JSON print (SDK नहीं)।

### Input options

- **`mockData: true` (default)** — 2 sample Bright Data–like rows normalize करके dataset में भेजता है (shape test के लिए)।
- **`rawPosts: [...]`** — Bright Data export के objects का array; सिर्फ normalize + push (कोई live scrape नहीं)।
- **`mockData: false` और `rawPosts` खाली** — error: real FB scrape इस template में implement नहीं; आगे **Crawlee + Playwright** जोड़ सकते हो (Apify की usual stack)।

### Apify पर upload / GitHub

1. [Apify Console](https://console.apify.com) → account
2. Install CLI: `npm i -g apify-cli` (या `npx apify-cli`)
3. `apify login`
4. Project folder से: `apify push` (या GitHub repo connect करके auto-build)

`.actor/actor.json` में `name` / `version` अपडेट करके push करो।

### असली Facebook scraping

Facebook पर aggressive scraping ToS / technical blocks के अधीन है। Production में अक्सर:

- **Crawlee** (`crawlee` package) + **Playwright** — Apify official stack
- या वही Bright Data dataset जो आप पहले से use कर रहे हो — इस Actor में **`rawPosts`** पास करके सिर्फ **एक ही response format** guarantee करो

इस repo का मुख्य उद्देश्य: **एक ही normalized output contract** + Apify पर deploy करने लायक skeleton।

### GitHub (`doshikevin361/apify`)

Local repo में `main` branch commit तैयार है। **Push** इस मशीन पर login न होने से यहाँ से नहीं हुआ — अपने PC पर:

```bash
cd ~/apify-facebook-brightdata-mirror
git remote -v   ## origin → https://github.com/doshikevin361/apify.git
git push -u origin main
```

GitHub login: **PAT** (Settings → Developer settings) या `gh auth login`, या **SSH** (`git remote set-url origin git@github.com:doshikevin361/apify.git`).

फिर Apify Console → **Link repository** → `doshikevin361/apify` → build।

# Actor input Schema

## `pageUrl` (type: `string`):

e.g. https://www.facebook.com/PageName/ — used when you add real scraping later

## `numOfPosts` (type: `integer`):

Same idea as Bright Data num\_of\_posts

## `startDate` (type: `string`):

Often MM-DD-YYYY as in your cron

## `endDate` (type: `string`):

Empty string = until now

## `mockData` (type: `boolean`):

If true, pushes 2 fake Bright-Data-shaped rows through the same normalizer (for testing dataset shape on Apify).

## `rawPosts` (type: `array`):

Paste JSON array of objects as returned by Bright Data snapshot (one object per post). Actor will ONLY normalize and push — no HTTP scrape.

## Actor input object example

```json
{
  "numOfPosts": 50,
  "mockData": true
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("doshikevin361/apify").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("doshikevin361/apify").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 '{}' |
apify call doshikevin361/apify --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=doshikevin361/apify",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Apify",
        "version": "0.0",
        "x-build-id": "7CNOVR1ivcZXMCQr7"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/doshikevin361~apify/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-doshikevin361-apify",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/doshikevin361~apify/runs": {
            "post": {
                "operationId": "runs-sync-doshikevin361-apify",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/doshikevin361~apify/run-sync": {
            "post": {
                "operationId": "run-sync-doshikevin361-apify",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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",
                "properties": {
                    "pageUrl": {
                        "title": "Facebook page URL",
                        "type": "string",
                        "description": "e.g. https://www.facebook.com/PageName/ — used when you add real scraping later"
                    },
                    "numOfPosts": {
                        "title": "Max posts",
                        "type": "integer",
                        "description": "Same idea as Bright Data num_of_posts",
                        "default": 50
                    },
                    "startDate": {
                        "title": "start_date (Bright Data style)",
                        "type": "string",
                        "description": "Often MM-DD-YYYY as in your cron"
                    },
                    "endDate": {
                        "title": "end_date",
                        "type": "string",
                        "description": "Empty string = until now"
                    },
                    "mockData": {
                        "title": "Emit sample rows only",
                        "type": "boolean",
                        "description": "If true, pushes 2 fake Bright-Data-shaped rows through the same normalizer (for testing dataset shape on Apify).",
                        "default": true
                    },
                    "rawPosts": {
                        "title": "Optional: raw Bright Data post objects",
                        "type": "array",
                        "description": "Paste JSON array of objects as returned by Bright Data snapshot (one object per post). Actor will ONLY normalize and push — no HTTP scrape."
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```