# Company Scout (`tri_angle/company-scout`) Actor

An Actor that finds YCombinator companies matching your criteria, enriches each with its matching LinkedIn company record, and scrapes LinkedIn job postings for the resulting shortlist.

- **URL**: https://apify.com/tri\_angle/company-scout.md
- **Developed by:** [Tri⟁angle](https://apify.com/tri_angle) (community)
- **Categories:** AI, Jobs, Lead generation
- **Stats:** 2 total users, 0 monthly users, 0.0% runs succeeded, 0 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

## Company Scout

An Apify Actor that finds YCombinator companies matching your criteria, enriches each with its matching LinkedIn company record, and scrapes LinkedIn job postings for the resulting shortlist.

### What does Company Scout do?

**Company Scout** discovers startup companies and their hiring signals in one pass:

1. Queries the [YCombinator directory](https://www.ycombinator.com/companies) with your filters (search query, batch, status, industry, region, team size, launch date, hiring state).
2. For each YC company it searches LinkedIn for the matching company page, picks the best candidate by domain, and captures the numeric LinkedIn company ID and jobs-search URL.
3. Scrapes LinkedIn job postings for each matched company.
4. Optionally applies user-defined filters (JS expressions and/or an LLM-evaluated prompt) to prune the result set.

### Why use Company Scout?

- Combine YC's curated startup directory with LinkedIn's canonical company data and live job postings in a single dataset.
- Pre-built enrichment pipeline: no need to hand-roll domain-to-LinkedIn matching, company-ID resolution, and job scraping across three separate actors.
- Filter results with either deterministic JS expressions (`evalFilter`) or an LLM prompt (`llmFilter`) before they hit the dataset.
- Runs on the Apify platform with proxy rotation, scheduling, and API access out of the box.

### How to use Company Scout

1. Set your YC filters (`search_query`, `batch`, `status`, `industry`, `regions`, `min_team_size`, `launched_after`, `is_hiring`, `max_items`).
2. Tune the LinkedIn enrichment options (`linkedin_jobs_count`, `scrape_company`).
3. (Optional) Add `filters` (JS expressions) and/or a `filter_prompt` (LLM instruction) to narrow the shortlist.
4. Run the Actor. Results land in the default dataset.

### Input

See the Input tab in Apify Console for the full form. Input schema lives at `.actor/input_schema.json` and generates the `Input` TypeScript type at `src/generated/input.ts`.

### Output

Each dataset item corresponds to one YC company, with LinkedIn enrichment and jobs attached. The output type is auto-generated from `.actor/dataset_schema.json`:

```ts
// biome-ignore-all lint: generated
// biome-ignore-all format: generated
/* eslint-disable */
/* prettier-ignore-start */
/*
 * This file was automatically generated by json-schema-to-typescript.
 * DO NOT MODIFY IT BY HAND. Instead, modify the source JSONSchema file,
 * and run apify actor generate-schema-types to regenerate this file.
 */

export interface Dataset {
    /**
     * Raw YCombinator company record.
     */
    yCombinator: {
        id: number;
        name: string;
        slug: string;
        ycUrl: string;
        website: string;
        oneLiner: string;
        longDescription: string;
        batch: string;
        status: string;
        stage: string;
        teamSize: number | null;
        industry: string;
        subindustry: string;
        industries: string[];
        regions: string[];
        allLocations: string;
        tags: string[];
        topCompany: boolean;
        isHiring: boolean;
        nonprofit: boolean;
        formerNames: string[];
        logoUrl: string;
        launchedAt: string;
    };
    /**
     * Best-matched LinkedIn company record, or null if no match was found.
     */
    linkedin: {
        id: string;
        universalName: string;
        linkedinUrl: string;
        jobSearchUrl: string;
        name: string;
        tagline?: string | null;
        description?: string | null;
        website?: string | null;
        companyType?: string;
        active?: boolean;
        pageVerified?: boolean;
        employeeCount?: number;
        followerCount?: number;
        employeeCountRange?: {
            start?: number;
            end?: number;
        } | null;
        logo?: string;
    } | null;
    /**
     * LinkedIn job postings scraped for the matched company.
     */
    linkedinJobs: {
        id: string;
        title: string;
        link: string;
        location: string;
        postedAt: string;
        salary?: string;
        seniorityLevel?: string;
        employmentType?: string;
        jobFunction?: string;
        industries?: string;
        applicantsCount?: string;
        applyUrl?: string;
        descriptionText?: string;
        descriptionHtml?: string;
        benefits?: unknown[];
        refId?: string;
        trackingId?: string;
        inputUrl?: string;
        companyName?: string;
        companyLinkedinUrl?: string;
        companyLogo?: string;
        companyWebsite?: string;
        companyDescription?: string;
        companySlogan?: string;
        companyEmployeesCount?: number;
        companyAddress?: {
            type?: string;
            addressCountry?: string;
            addressLocality?: string;
            addressRegion?: string;
            postalCode?: string;
            streetAddress?: string;
        };
        jobPosterName?: string;
        jobPosterTitle?: string;
        jobPosterPhoto?: string;
        jobPosterProfileUrl?: string;
    }[];
}
````

You can download the dataset in JSON, CSV, XML, or Excel format from the Apify Console or via the API.

### Pricing

Company Scout orchestrates three downstream Actors. Costs scale with the size of your YC filter set and the number of jobs per matched company. Rough per-YC-company cost:

- LinkedIn company search: 0.001 start + 0.002/candidate (10 candidates by default) ≈ 0.021.
- LinkedIn jobs scrape: variable per posting.

For a 100-company YC batch expect ≈2 for enrichment, plus jobs scraping. Set `linkedin_jobs_count` lower or `scrape_company: false` to reduce cost.

### Tips

- Set `is_hiring: true` to skip companies with no open positions — this is the default.
- Lower `linkedin_jobs_count` if you only need the first page of jobs per company.
- `filters` runs deterministic JS on each enriched company (fast, free). `filter_prompt` runs the LLM in batches of 100 (slower, incurs LLM cost).

### FAQ

- **Where does the data come from?** YCombinator's public directory (via `60eqjQF63gs0tlags`), LinkedIn's public company search (via `taHaRcqil3scbchuI`), and LinkedIn's public jobs pages (via `hKByXkMQaC5Qt9UMN`). No LinkedIn account or cookies required.
- **Can I schedule this?** Yes — use Apify Schedules to run daily, weekly, or on any cron expression.
- **Something looks wrong.** Please file an issue on the Actor's Issues tab.

# Actor input Schema

## `search_query` (type: `string`):

Keyword to search for among YC companies.

## `batch` (type: `array`):

Filter by YC batch (e.g. \['W23', 'S22']). Leave empty for all batches.

## `status` (type: `array`):

Filter by company status (e.g. \['Active', 'Public']). Leave empty for all statuses.

## `industry` (type: `array`):

Filter by industry tags (e.g. \['B2B', 'SaaS']). Leave empty for all industries.

## `regions` (type: `array`):

Filter by region (e.g. \['US', 'Europe']). Leave empty for all regions.

## `min_team_size` (type: `integer`):

Only include companies with at least this many employees.

## `launched_after` (type: `string`):

Only include companies launched after this date (ISO 8601, e.g. '2022-01-01').

## `is_hiring` (type: `boolean`):

Only include companies that are currently hiring.

## `max_items` (type: `integer`):

Maximum number of YC companies to fetch.

## `delta_mode` (type: `boolean`):

Only fetch companies added or updated since the last run.

## `linkedin_jobs_count` (type: `integer`):

Maximum number of LinkedIn job postings to fetch per matched company.

## `scrape_company` (type: `boolean`):

When enabled, the LinkedIn jobs scraper performs an extra request per job to enrich the record with company details (logo, description, website, employee count, address). Disable to reduce cost and speed up runs.

## `filters` (type: `array`):

WARN: This feature is disabled for the time being.
List of JS epressions with `item` in the context (type follows dataset schema). Evaluate to falsy to exclude the evaluated company, truthy to keep it.

## `filter_prompt` (type: `string`):

Prompt passed to the LLM when evaluating filters against each company.

## Actor input object example

```json
{
  "search_query": "",
  "batch": [],
  "status": [],
  "industry": [],
  "regions": [],
  "min_team_size": 1,
  "launched_after": "",
  "is_hiring": true,
  "max_items": 100,
  "delta_mode": false,
  "linkedin_jobs_count": 1000,
  "scrape_company": true,
  "filters": [],
  "filter_prompt": ""
}
```

# 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 = {
    "search_query": "",
    "batch": [],
    "status": [],
    "industry": [],
    "regions": [],
    "min_team_size": 1,
    "launched_after": "",
    "is_hiring": true,
    "max_items": 100,
    "delta_mode": false,
    "linkedin_jobs_count": 1000,
    "scrape_company": true,
    "filters": [],
    "filter_prompt": ""
};

// Run the Actor and wait for it to finish
const run = await client.actor("tri_angle/company-scout").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 = {
    "search_query": "",
    "batch": [],
    "status": [],
    "industry": [],
    "regions": [],
    "min_team_size": 1,
    "launched_after": "",
    "is_hiring": True,
    "max_items": 100,
    "delta_mode": False,
    "linkedin_jobs_count": 1000,
    "scrape_company": True,
    "filters": [],
    "filter_prompt": "",
}

# Run the Actor and wait for it to finish
run = client.actor("tri_angle/company-scout").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 '{
  "search_query": "",
  "batch": [],
  "status": [],
  "industry": [],
  "regions": [],
  "min_team_size": 1,
  "launched_after": "",
  "is_hiring": true,
  "max_items": 100,
  "delta_mode": false,
  "linkedin_jobs_count": 1000,
  "scrape_company": true,
  "filters": [],
  "filter_prompt": ""
}' |
apify call tri_angle/company-scout --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Company Scout",
        "description": "An Actor that finds YCombinator companies matching your criteria, enriches each with its matching LinkedIn company record, and scrapes LinkedIn job postings for the resulting shortlist.",
        "version": "0.0",
        "x-build-id": "rPAbHk9EqSq4uzUwm"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/tri_angle~company-scout/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-tri_angle-company-scout",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/tri_angle~company-scout/runs": {
            "post": {
                "operationId": "runs-sync-tri_angle-company-scout",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/tri_angle~company-scout/run-sync": {
            "post": {
                "operationId": "run-sync-tri_angle-company-scout",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                    "search_query": {
                        "title": "Search query",
                        "type": "string",
                        "description": "Keyword to search for among YC companies.",
                        "default": ""
                    },
                    "batch": {
                        "title": "Batch",
                        "type": "array",
                        "description": "Filter by YC batch (e.g. ['W23', 'S22']). Leave empty for all batches.",
                        "items": {
                            "type": "string"
                        },
                        "default": []
                    },
                    "status": {
                        "title": "Status",
                        "type": "array",
                        "description": "Filter by company status (e.g. ['Active', 'Public']). Leave empty for all statuses.",
                        "items": {
                            "type": "string"
                        },
                        "default": []
                    },
                    "industry": {
                        "title": "Industry",
                        "type": "array",
                        "description": "Filter by industry tags (e.g. ['B2B', 'SaaS']). Leave empty for all industries.",
                        "items": {
                            "type": "string"
                        },
                        "default": []
                    },
                    "regions": {
                        "title": "Regions",
                        "type": "array",
                        "description": "Filter by region (e.g. ['US', 'Europe']). Leave empty for all regions.",
                        "items": {
                            "type": "string"
                        },
                        "default": []
                    },
                    "min_team_size": {
                        "title": "Minimum team size",
                        "minimum": 1,
                        "type": "integer",
                        "description": "Only include companies with at least this many employees.",
                        "default": 1
                    },
                    "launched_after": {
                        "title": "Launched after",
                        "type": "string",
                        "description": "Only include companies launched after this date (ISO 8601, e.g. '2022-01-01').",
                        "default": ""
                    },
                    "is_hiring": {
                        "title": "Is hiring",
                        "type": "boolean",
                        "description": "Only include companies that are currently hiring.",
                        "default": true
                    },
                    "max_items": {
                        "title": "Max items",
                        "minimum": 1,
                        "type": "integer",
                        "description": "Maximum number of YC companies to fetch.",
                        "default": 100
                    },
                    "delta_mode": {
                        "title": "Delta mode",
                        "type": "boolean",
                        "description": "Only fetch companies added or updated since the last run.",
                        "default": false
                    },
                    "linkedin_jobs_count": {
                        "title": "LinkedIn jobs per company",
                        "minimum": 1,
                        "type": "integer",
                        "description": "Maximum number of LinkedIn job postings to fetch per matched company.",
                        "default": 1000
                    },
                    "scrape_company": {
                        "title": "Scrape company details on each job",
                        "type": "boolean",
                        "description": "When enabled, the LinkedIn jobs scraper performs an extra request per job to enrich the record with company details (logo, description, website, employee count, address). Disable to reduce cost and speed up runs.",
                        "default": true
                    },
                    "filters": {
                        "title": "Filters",
                        "type": "array",
                        "description": "WARN: This feature is disabled for the time being.\nList of JS epressions with `item` in the context (type follows dataset schema). Evaluate to falsy to exclude the evaluated company, truthy to keep it.",
                        "items": {
                            "type": "string"
                        },
                        "default": []
                    },
                    "filter_prompt": {
                        "title": "Filter prompt",
                        "type": "string",
                        "description": "Prompt passed to the LLM when evaluating filters against each company.",
                        "default": ""
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```