# Ambitionbox Job Scrapper (`yodeling_elevator/ambitionbox-job-scrapper`) Actor

Production-grade job scraper for AmbitionBox using a **Cheerio-first, Playwright-fallback** architecture. Extracts job listings, enriches with job details and company data, then exports normalized, structured data to Apify Dataset.

- **URL**: https://apify.com/yodeling\_elevator/ambitionbox-job-scrapper.md
- **Developed by:** [ai](https://apify.com/yodeling_elevator) (community)
- **Categories:** Automation, Jobs
- **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.80 / 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.

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

## AmbitionBox Ultra-Fast Job Scraper

Production-grade job scraper for AmbitionBox using a **Cheerio-first, Playwright-fallback** architecture. Extracts job listings, enriches with job details and company data, then exports normalized, structured data to Apify Dataset.

### Architecture Overview

#### Core Principles

- **Nuxt SSR JSON First**: Extract `window.__NUXT__` from HTML using regex (NO JavaScript execution)
- **CheerioCrawler Primary**: Fast, lightweight scraping for all phases
- **PlaywrightCrawler Fallback**: ONLY when Cheerio fails to extract critical fields
- **Three-Phase Pipeline**: Listing → Job Detail → Company Overview
- **Deterministic URL Construction**: Use `companyUrlName` from Nuxt state as single source of truth

#### Data Flow

````

Phase 1: Listing Extraction (CheerioCrawler)
↓ Extract window.**NUXT**.data\[1].jobs
↓ Parse job listings + companyUrlName
↓ Store in KeyValueStore
↓
Phase 2: Job Detail Enrichment (CheerioCrawler)
↓ Extract description, rating, skills
↓ Resolve company URL from companyUrlName
↓ Update KeyValueStore
↓
Phase 3: Company Overview Enrichment (CheerioCrawler)
↓ Extract size, website, industry, description
↓ STRICT employee count validation
↓ Merge job + company data
↓ Calculate confidence score
↓
Export to Apify Dataset

```

#### Performance Targets

- **Concurrency**: 40 requests
- **Throughput**: 1200 requests/minute
- **Timeouts**: 20s handler, 30s navigation
- **Retries**: Max 1, on [429, 500, 502, 503]

### Project Structure

```

cherro-scrapper/
├── src/
│   └── main.js              ## Main orchestration
├── routes/
│   ├── listing.js           ## Phase 1: Listing extraction
│   ├── jobDetail.js         ## Phase 2: Job detail enrichment
│   └── company.js           ## Phase 3: Company overview enrichment
├── utils/
│   ├── nuxtParser.js        ## Nuxt state extraction
│   ├── validators.js        ## Data validation (strict rules)
│   ├── normalizers.js       ## Data normalization
│   └── confidenceScore.js   ## Quality scoring
├── .actor/
│   ├── actor.json           ## Apify actor configuration
│   └── input\_schema.json    ## Input schema
├── package.json
├── Dockerfile
├── .env.example
└── README.md

````

### Installation

#### Local Development

```bash
## Clone repository
cd cherro-scrapper

## Install dependencies
npm install

## Copy environment template
cp .env.example .env

## Edit .env with your configuration
## (Optional: Add APIFY_TOKEN for local testing)

## Run scraper
npm start
````

#### Apify Deployment

```bash
## Install Apify CLI
npm install -g apify-cli

## Login to Apify
apify login

## Push to Apify
apify push

## Run on Apify platform
## Navigate to https://console.apify.com/actors
```

### Configuration

#### Input Parameters

Configure via Apify Console or `INPUT.json`:

```json
{
  "startUrls": [
    "https://www.ambitionbox.com/jobs",
    "https://www.ambitionbox.com/jobs?q=software+engineer"
  ],
  "maxConcurrency": 40,
  "maxRequestsPerMinute": 1200,
  "requestHandlerTimeoutSecs": 20
}
```

#### Environment Variables

See `.env.example` for local testing configuration.

### Data Schema

#### Output Format

Each job record in the dataset contains:

```json
{
  "jobId": "12345",
  "title": "Senior Software Engineer",
  "companyName": "Example Corp",
  "companyUrlName": "example-corp",
  "location": "Bangalore",
  "postedDate": "2025-12-15",
  "salary": {
    "min": 1500000,
    "max": 2500000,
    "currency": "INR"
  },
  "experience": {
    "min": 3,
    "max": 5
  },
  "description": "Job description text...",
  "skills": ["JavaScript", "React", "Node.js"],
  "companyRating": 4.2,
  "employeeCount": {
    "min": 201,
    "max": 500,
    "raw": "201-500"
  },
  "companyWebsite": "https://example.com",
  "industry": "Information Technology",
  "companyDescription": "Company description text...",
  "headquarters": "Bangalore, India",
  "confidenceScore": 87.5,
  "confidenceLevel": "GOOD",
  "scrapedAt": "2025-12-18T09:44:20.000Z",
  "sourceUrl": "https://www.ambitionbox.com/jobs"
}
```

#### Confidence Scoring

Data quality score (0-100) based on field completeness:

- **90-100**: EXCELLENT - All mandatory and most optional fields present
- **75-89**: GOOD - All mandatory fields + some enrichment
- **60-74**: FAIR - Mandatory fields present, limited enrichment
- **40-59**: POOR - Some mandatory fields missing
- **0-39**: VERY\_POOR - Multiple mandatory fields missing

### Critical Implementation Details

#### Employee Count Validation

**STRICT RULES** (implemented in `utils/validators.js`):

✅ **ACCEPT**:

- Ranges: `"201-500"`, `"1-10"`
- Lakh format: `"1 Lakh+"`, `"2 Lakhs"`
- Large numbers: `"10,000+"`, `"5000"`
- K values ≥ 100: `"100k"`, `"500k"`

❌ **REJECT**:

- Contains "follow": `"5.6k followers"`
- K values < 100: `"5.6k"`, `"10k"`, `"50k"`

#### Company URL Resolution

**Priority Order**:

1. **companyUrlName from Nuxt state** (SINGLE SOURCE OF TRUTH)
2. Extract from job detail page anchor
3. Construct slug from company name (LAST RESORT)

Format: `https://www.ambitionbox.com/overview/{companyUrlName}-overview`

#### Nuxt State Extraction

**Method**: Regex-based extraction from HTML string

```javascript
// Extract window.__NUXT__ = {...}
const nuxtRegex = /window\.__NUXT__\s*=\s*({.+?})\s*;?/s;
const match = html.match(nuxtRegex);
const nuxtState = JSON.parse(match[1]);

// Navigate to jobs
const jobs = nuxtState.data[1].jobs;
```

**NO JavaScript execution** - works in CheerioCrawler.

### Troubleshooting

#### Common Issues

**Issue**: No jobs found in Nuxt state

**Solution**:

- Check if AmbitionBox changed their Nuxt state structure
- Verify `data[1].jobs` path is correct
- Enable debug logging to inspect raw Nuxt state

**Issue**: Employee count always null

**Solution**:

- Check if validation rules are too strict
- Inspect raw employee count values in logs
- Adjust selectors in `routes/company.js`

**Issue**: Low confidence scores

**Solution**:

- Review field weights in `utils/confidenceScore.js`
- Check if selectors are extracting data correctly
- Verify company URLs are resolving properly

#### Debug Mode

Enable verbose logging:

```javascript
// In src/main.js, add:
const crawler = new CheerioCrawler({
  // ... other config
  log: {
    level: 'debug',
  },
});
```

### Performance Optimization

#### Recommended Settings

**For maximum throughput**:

```json
{
  "maxConcurrency": 40,
  "maxRequestsPerMinute": 1200
}
```

**For stability** (avoid rate limiting):

```json
{
  "maxConcurrency": 20,
  "maxRequestsPerMinute": 600
}
```

#### Monitoring

Check Apify Console for:

- Request queue size
- Dataset item count
- Failed requests
- Retry histogram

### Dependencies

```json
{
  "apify": "^3.1.10",
  "crawlee": "^3.7.0",
  "cheerio": "^1.0.0-rc.12"
}
```

**NO hallucinated packages** - all dependencies are official and verified.

### License

ISC

### Support

For issues or questions:

1. Check Apify logs for error messages
2. Review this README for troubleshooting steps
3. Inspect KeyValueStore for intermediate data
4. Enable debug logging for detailed output

***

**Built with**: Node.js 18+, Crawlee, Apify, Cheerio

**Architecture**: Cheerio-first, Playwright-fallback

**Performance**: 40 concurrent requests, 1200 req/min throughput

# Actor input Schema

## `targetJobCount` (type: `integer`):

Total number of jobs to collect across all categories.

## `headless` (type: `boolean`):

Run browser in headless mode (no visible UI). Set to false for debugging.

## Actor input object example

```json
{
  "targetJobCount": 200,
  "headless": 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("yodeling_elevator/ambitionbox-job-scrapper").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("yodeling_elevator/ambitionbox-job-scrapper").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 yodeling_elevator/ambitionbox-job-scrapper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Ambitionbox Job Scrapper",
        "description": "Production-grade job scraper for AmbitionBox using a **Cheerio-first, Playwright-fallback** architecture. Extracts job listings, enriches with job details and company data, then exports normalized, structured data to Apify Dataset.",
        "version": "1.0",
        "x-build-id": "4iLAbQaueOyc9ifx0"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/yodeling_elevator~ambitionbox-job-scrapper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-yodeling_elevator-ambitionbox-job-scrapper",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/yodeling_elevator~ambitionbox-job-scrapper/runs": {
            "post": {
                "operationId": "runs-sync-yodeling_elevator-ambitionbox-job-scrapper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/yodeling_elevator~ambitionbox-job-scrapper/run-sync": {
            "post": {
                "operationId": "run-sync-yodeling_elevator-ambitionbox-job-scrapper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": [
                    "targetJobCount"
                ],
                "properties": {
                    "targetJobCount": {
                        "title": "Target Job Count",
                        "minimum": 1,
                        "maximum": 1000,
                        "type": "integer",
                        "description": "Total number of jobs to collect across all categories.",
                        "default": 200
                    },
                    "headless": {
                        "title": "Headless Mode",
                        "type": "boolean",
                        "description": "Run browser in headless mode (no visible UI). Set to false for debugging.",
                        "default": true
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```