Ambition Interview Scraper

Introduction

The Ambition Interview Scraper is a powerful Apify Actor designed to extract interview questions and experiences from AmbitionBox, a popular platform for company reviews and career insights. It enables users to gather valuable data on interview processes for specific companies, helping with recruitment strategies, candidate preparation, and market research. By automating the scraping process, this Actor saves time and provides structured, reliable data for informed decision-making.

Features

• Comprehensive Data Extraction: Scrapes detailed interview questions, answers, job profiles, and metadata from AmbitionBox.
• Customizable Crawling: Allows setting limits on requests to control crawl depth and avoid overloading sources.
• High-Quality Output: Delivers clean, structured JSON data with timestamps and pagination details for easy analysis.
• Reliable and Efficient: Built on CheerioCrawler for fast, lightweight scraping with robust error handling.
• Flexible Input: Supports company-specific queries to target relevant interview data.
• Scalable Performance: Handles multiple pages and large datasets while respecting rate limits.
• Real-Time Insights: Includes scraped timestamps for tracking data freshness.

Input Parameters

Parameter	Type	Required	Description	Example
companyName	string	Yes	Name of the company to scrape interview questions for. This should match the company slug on AmbitionBox.	"federal-bank"
maxRequestsPerCrawl	integer	No	Maximum number of requests that can be made by this crawler. Helps control the scope and prevent excessive API calls.	100

Example Usage

Input

{
  "companyName": "federal-bank",
  "maxRequestsPerCrawl": 100
}

Output

[
  {
    "companyId": 201128,
    "companyName": "federal-bank",
    "answerType": "non_coding_gen_ai",
    "question": "How many branches are there in your area?",
    "containsHtml": false,
    "questionUrl": "how-many-branches-are-there-in-your-area-bjk20q37a",
    "answer": "",
    "answersCount": 2,
    "jobProfile": "Associate",
    "jobProfileUrl": "associate",
    "topics": [],
    "createdOn": "",
    "page": 1,
    "totalPages": 5,
    "currentPage": 1,
    "totalInterviewExperiences": 119,
    "scrapedAt": "2026-01-23T11:34:35.793Z"
  }
]

Use Cases

• Recruitment Analysis: HR teams can analyze interview questions to refine hiring processes and prepare candidates.
• Candidate Preparation: Job seekers can review real interview experiences to anticipate questions for specific roles.
• Market Research: Businesses can benchmark interview practices across companies in their industry.
• Competitive Intelligence: Gather insights into competitors' hiring strategies and job profiles.
• Academic Research: Researchers can study trends in interview questions and company cultures.
• Content Creation: Bloggers and educators can create guides based on aggregated interview data.

Installation and Usage

1. Search for "Ambition Interview Scraper" 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 an interview experience. Key fields include:

• companyId and companyName: Identifiers for the company.
• question and answer: The interview question and any provided response.
• jobProfile and jobProfileUrl: Details about the role.
• page, totalPages, currentPage: Pagination information.
• totalInterviewExperiences: Total count of experiences scraped.
• scrapedAt: Timestamp of when the data was extracted. This structured format ensures easy parsing and integration into databases or analytics tools.

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!