Ambitionsbox Salaries Spider ## Introduction The Ambitionsbox Salaries Spider is a powerful Apify Actor designed to scrape and extract detailed salary data from AmbitionBox, India's largest platform for employee reviews and salary insights. It enables users to gather comprehensive compensation information for specific companies, including job profiles, experience levels, and average salaries, making it an invaluable tool for HR professionals, job seekers, and market researchers. By automating data collection, this Actor saves time and ensures access to up-to-date, structured insights for informed decision-making. ## Features - Targeted Data Extraction: Scrapes salary details for a specified company from AmbitionBox, focusing on job profiles, experience ranges, and compensation metrics. - High-Quality Data: Provides reliable, structured data with fields like average CTC, data points, and job counts, sourced directly from user-submitted reviews. - Scalable and Efficient: Built on Apify's robust infrastructure, it handles large datasets quickly and supports seamless integration with other tools. - Customizable Inputs: Allows users to specify the target company for precise, tailored scraping. - JSON Output: Delivers clean, machine-readable results in JSON format, ideal for analysis in spreadsheets, databases, or APIs. - Error-Resilient: Includes built-in handling for common scraping challenges like rate limits and page changes. - No Coding Required: User-friendly interface for non-technical users to run extractions via the Apify platform. ## Input Parameters | Parameter | Type | Required | Description | Example | |-----------|--------|----------|-----------------------------------------------------------------------------|------------------| | Company | string | No | The name or identifier of the company on AmbitionBox to scrape salary data for. | "federal-bank" | ## Example Usage To run the Actor, provide the input in JSON format. Here's an example: json { "Company": "federal-bank" } This will scrape salary data for Federal Bank. The output will be an array of JSON objects, such as: json [ { "job_profile_id": 1140, "job_profile_name": "Probationary Officer", "url_name": "probationary-officer", "min_experience": 0, "max_experience": 2, "min_ctc": 1018999.9580383301, "max_ctc": 1645000, "avg_ctc": 1358080.1355564746, "data_points": 385, "jobs_count": 0, "actor_id": "X9Nh8BDeHtPTbB5OD", "run_id": "lcgn2fkTokjAGImha" } ] ## Use Cases - Market Research and Analysis: Analyze salary trends across industries to benchmark compensation packages. - Competitive Intelligence: Compare salary data for rival companies to inform hiring strategies. - Price Monitoring: Track changes in average salaries over time for economic forecasting. - Content Aggregation: Build datasets for blogs, reports, or dashboards on career insights. - Academic Research: Gather empirical data for studies on labor markets and employee satisfaction. - Business Automation: Integrate with HR tools to automate salary surveys and reporting. ## Installation and Usage 1. Search for "Ambitionsbox Salaries Spider" in the Apify Store 2. Click "Try for free" or "Run" 3. Configure input parameters 4. Click "Start" to begin extraction 5. Monitor progress in the log 6. Export results in your preferred format (JSON, CSV, Excel) ## Output Format The Actor outputs an array of JSON objects, each representing a job profile's salary data. Key fields include: - job_profile_id: Unique identifier for the job profile. - job_profile_name: Name of the job role (e.g., "Probationary Officer"). - url_name: URL-friendly version of the job name. - min_experience and max_experience: Experience range in years. - min_ctc, max_ctc, avg_ctc: Minimum, maximum, and average cost-to-company in currency units. - data_points: Number of data points used for calculations. - jobs_count: Number of job listings (may be 0 if not applicable). - actor_id and run_id: Metadata for the Apify run. This structured format ensures easy parsing and integration. ## Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: https://getdataforme.com/contact/ We're here to help you get the most out of this Actor! ---