AmbitionBox rates every employer in seven categories and lists pay by designation in lakh per year. Our AmbitionBox scraper collects both, plus interview questions.
Plans from €169 a month · Free project assessment · Reply within 1 business day
CSV · Excel · JSON · XML · FTP · SFTP · Amazon S3 · Google Cloud
API, JSON feed or CSV, XLSX and JSON files
ScheduleOne-time, monthly, weekly, daily or 3 times a day
AmbitionBox pages, filters, fields and a schedule
Built, monitored and repaired by our team
API, JSON feed or CSV, XLSX and JSON files
You name the companies, cities, industries or designations, and we turn them into a crawl plan: which company pages to open, which tabs to read - Reviews, Salaries, Interviews, Jobs, Benefits, office locations - and how often to come back. We build the extractors, run them and fix them when AmbitionBox changes its layout. AmbitionBox screens unfamiliar traffic, so pacing, proxy rotation, CAPTCHA handling and rendering come with the service.
Every row carries the company slug from its address, so infosys stays infosys from run to run, and salary rows keep the designation and department exactly as AmbitionBox spells them. A field guide comes with the first file, and refreshes run daily, weekly or on demand.
An AmbitionBox company is a set of tabs on one slug: /overview/, /reviews/, /salaries/ and /interviews/, each followed by the company's name in the address. We read them as linked tables - one company record with child rows for reviews, salaries and interview questions.
Reviewers appear on AmbitionBox as Anonymous, and the dataset keeps it that way: no reviewer identity is ever part of a delivery.
Salaries go a level deeper. A designation page - Technology Analyst at Infosys, for instance - shows the annual salary range for an experience band, the same range split by department, a career path with the hike to the next role, similar designations at the company and the top skills reported for the role. AmbitionBox shows the range to every visitor and keeps the exact average and the monthly in-hand figure for signed-in members; our standard extract carries the range, the band and the count of salaries behind it.
Interviews add questions by designation - the question, how long ago it was asked, its topic tag and the answer posted under it - and a company summary: the interview experience rating, the difficulty level split into Easy, Moderate and Hard, and how long the process took, from less than two weeks to more than eight.
Beyond single companies, list pages group employers by city, by industry and by type - startups, public companies, unicorns - with a rating and review count on each card, so a dataset can start from a whole segment. How often are AmbitionBox ratings updated? The reviews tab prints its own Updated date, and repeated runs turn the seven category ratings into a time series per company.
AmbitionBox is an employer review and salary site for India, run by Info Edge (India) Ltd. Its content comes from employees, who write reviews, add salaries, share interviews, upload office photos and list company benefits; employers can create or update their page, respond to reviews and invite staff to rate. The top menu shows the shape of the data - Companies, Reviews, Salaries, Interviews, Jobs and Awards, plus Communities for discussion.
Everything hangs off the company. A company page opens with its overall rating and counters, then splits into tabs for reviews, salaries, interview questions, benefits, jobs, photos and office locations, and links brands and subsidiaries as companies of their own. A page with the Premium Employer badge, such as Infosys, adds employer-written sections: Why join us, videos, leadership, vision and mission.
Two habits of the site matter to a data buyer. Salaries are rupee ranges per year written in lakhs, and counters are abbreviated the Indian way - L for lakh, Crore above that - so we convert them into plain numbers. And the AmbitionBox Employee Choice Awards, ABECA, name winners every year, which can be joined to the ratings.
Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan detailsAmbitionBox puts pay and sentiment side by side for each employer, scored in the same seven categories everywhere, which makes companies directly comparable.
Learn how to use web scraping to solve data problems for your organization
Data scraping is the wide term that includes documents, scans and old screens; web scraping is the part that works on websites. We compare sources, daily work, output and cost drivers, give a briefing checklist and walk through two of our projects.
Leveraging advances in technology, the AI-powered web scraper has skyrocketed in demand and is helping to expand capabilities by automating tedious daily tasks and speeding up data collection from thousands of websites several times over.
Web scraping is a method of obtaining web data by extracting it from pages of web resources with the help of a program, that is, in automatic mode. It is used to syntactically convert web pages into more usable forms.
ScrapeIt collects website data for companies that would rather not run scrapers themselves. Review and salary sites are a regular part of that work: many tabs per company, figures written in local units, and anonymous authors whose privacy has to survive the export. We handle the crawling, the unit conversion and the anonymity rules; you choose the employers, cities and fields. Plans start from EUR 169 a month, or EUR 199 for a one-time extract.
Still unsure? Write to info@scrapeit.io
Yes. The ScrapeIt AmbitionBox API serves the overall rating, the seven category ratings, review counts and salary ranges by designation and experience band as JSON from an endpoint we host, on the refresh schedule you choose. You can take the same data as CSV or XLSX files, a JSON feed or a load into your database.
Yes. Company ratings, reviews, salary ranges and interview questions are open to any visitor of AmbitionBox without signing in. We collect only publicly available data - everything a visitor can see on AmbitionBox - and we collect it legally, treating anything personal under GDPR.
Yes, reviews are published under Anonymous, with only the designation, department, city and employment type beside them. We deliver those work attributes with the review text and ratings, and nothing that could identify the person who wrote it. We do not build profiles of individual employees.
Yes. Each question comes with the designation it was asked for, its topic tag, how recently it was asked and the posted answer, and we add the company's interview experience rating, difficulty split and process duration. Designations follow AmbitionBox's own naming, such as System Engineer or Front end Developer.
Yes. AmbitionBox lists employers by city, by industry and by type, such as startups or public companies, and we use those lists as the entry point before opening each company's tabs. A Bengaluru IT services dataset, for example, holds one record per employer plus its reviews, salary rows and office locations.
You share your needs, expectations, and desired timeframe. We'll suggest the best solution based on your request and budget.
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.
Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.
Tell us which sites, which fields and how often. A couple of lines is enough to start.
AmbitionBox data from €169/month. Free project assessment, reply within 1 business day.