How to Use Real Estate Web Scraping to Gain Valuable Insights
Real estate web scraping: a powerful tool for data collection and analysis. Learn how to choose the right data collection method and benefit from real estate web scraping
Unlock India’s largest talent pool in one ready-to-use feed with our Naukri scraper data. The fully-managed data delivers job and candidate information straight to your dashboard or database — no APIs to wrangle, no proxy headaches, and no wasted hours on DIY code.
Unlike off-the-shelf APIs or SaaS dashboards, Scrapeit engineers build a private crawler exclusively for your brief. You tell us what fields, cadence and output you need; we spin up, monitor and maintain the crawler in our cloud. This means zero infrastructure on your side, rapid turnaround (days, not weeks) and outputs that drop neatly into Excel, JSON, SQL or direct-to-CRM pipelines. Because the Naukri data scraper is a purpose-built exporter, it adapts instantly when Naukri changes layout — your data keeps flowing while you focus on analysis and hiring, not scraping logistics.
Need deeper insights? Our Naukri scraper can also collect:
Naukri.com launched in 1997 and has grown into the largest employment website in India, extending to the Middle East via NaukriGulf. It serves over half a million active recruiters and maintains a résumé vault that recently crossed 106 million profiles, refreshed with 22 k new CVs every day.
Owned by Info Edge, the platform positions itself as a two-sided marketplace: jobseekers browse openings, upload CVs and get AI-ranked alerts, while HR teams tap paid products such as Resdex access, featured job listings and verified-skills tags to surface qualified talent faster.
Operating primarily in English, Naukri dominates traffic across India and supports hiring in the UAE, Saudi Arabia, Qatar and beyond, making it the go-to board for both domestic and cross-border recruitment. A notable quirk: its “Resume Database” remains the portal’s biggest revenue moat, not job ads—a fact that keeps recruiters renewing access year after year.
Get a QuoteDevelopers
Customers
Pages extracted
Hours saved for our clients
Customized scraping setup for Naukri — faster and cheaper than building a solution from scratch.
Data limits (rows): up to 10%
Iterations: up to 3
Custom requirements: Yes
Data lifetime: up-to-date
Data quality checks: Yes
Delivery deadline: 1-2 working days
Output formats: CSV, JSON, XLSX
Delivery options: e-mail
Comprehensive Naukri extractor data lets you:
All of this arrives cleaned, de-duplicated and ready for BI, so analysts and recruiters spend time on strategy, not spreadsheets.
Learn how to use web scraping to solve data problems for your organization
Real estate web scraping: a powerful tool for data collection and analysis. Learn how to choose the right data collection method and benefit from real estate web scraping
Amazon provides valuable information gathered in one place: products, reviews, ratings, exclusive offers, news, etc. So scraping data from Amazon will help solve the problems of the time-consuming process of extracting data from e-commerce.
The use of sentiment analysis tools in business benefits not only companies but also their customers by allowing them to improve products and services, identify the strengths and weaknesses of competitors' products, and create targeted advertising.
Scrapeit has pulled 1.5 billion+ pages for 100+ customers, with a dedicated job-data team that speaks the language of HRIS, ATS and CRM integrations. Our managed service comes with SLA-backed delivery, change monitoring and human support that stays until your model or dashboard lights up.
Recruiters prize Naukri’s 100 M-plus résumé vault, so scraping demand has surged alongside pay-benchmarking and competitor-intel use cases.
We follow robots.txt, respect rate limits and supply data only from public job pages, aligning with Indian and international fair-use precedents.
No — our self-healing architecture detects DOM shifts and rolls out fixes automatically, keeping feeds stable.
Naukri uses dynamic loading, anti-bot checks and pagination quirks; building a robust crawler in-house typically takes weeks and ongoing maintenance. We eliminate that effort.
CSV, JSON, MySQL dumps — whatever plugs fastest into your stack.
1. Make a request
You tell us which website(s) to scrape, what data to capture, how often to repeat etc.
2. Analysis
An expert analyzes the specs and proposes a lowest cost solution that fits your budget.
3. Work in progress
We configure, deploy and maintain jobs in our cloud to extract data with highest quality. Then we sample the data and send it to you for review.
4. You check the sample
If you are satisfied with the quality of the dataset sample, we finish the data collection and send you the final result.
Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
NIP: 5423457175
REGON: 523384582