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Data Extraction · USA
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Innovate. Integrate. Inspire.
We innovate with AI-driven, cutting-edge technology, integrate seamless solutions, and inspire digital transformation across industries.
500+
Projects Completed
13+
Years of Experience
350+
Happy Client
85+
Specialist
5 star Rating Reviews
18,875 Working Hours $500K+ Earned
Let’s connect
100K+
Products Scraped for Amazon eCommerce Clients
1,000+
Healthcare Websites Covered Across the USA
80K+
Amazon/Walmart Reviews Extracted with 95%+ Accuracy
50+
Platforms Tracked for Dental Product Intelligence
35+
Job Listing Websites Scraped for Recruitment Intelligence
50K+
Hotel Records Extracted for Travel & Hospitality Clients
What our clients say
Working with Kanhasoft has been fantastic. They exceeded our expectations with fast responses, clear communication, and technical expertise. They handled last-minute changes with ease and delivered tailored solutions. Their automation skills helped us streamline processes and save time. Kanhasoft truly felt like part of our team. If you need reliable web developers, Kanhasoft is a partner you can trust.
Kanhasoft helped the client build a successful product, enabling them to record a client NPS of 75% with about 1,250 customers. They also supported the client to achieve a 100% growth rate. Moreover, the vendor delivered clean code and architecture, resulting in a reliable app with minimal downtime.
Kanhasoft delivered the first full version of the MVP in less than four weeks. The team communicates seamlessly and responds to queries promptly. They know how to fill the blanks in a not-so-ideal specification with minimal direction.
Core Expertise for Web Data Scraping
Real-Time Price Monitoring Solutions
Web scraping services enable businesses to monitor product prices in real time across websites and marketplaces. This helps companies track competitor pricing, identify trends, and make faster, data-driven decisions to stay competitive in dynamic and rapidly changing market environments.
Price Intelligence Services
Kanhasoft provides advanced price intelligence services using custom web scraping solutions to collect and analyze pricing data from multiple platforms. This enables businesses to understand market positioning, track competitor pricing strategies, and optimize their own pricing decisions for better profitability and growth.
Product Comparison
Web scraping allows businesses to compare products across various platforms by analyzing pricing, features, availability, and positioning. This helps organizations identify competitive gaps, refine product strategies, and make informed decisions that improve offerings and strengthen their position in the market.
Customer Review Monitoring
Web scraping helps businesses collect and analyze customer reviews from eCommerce platforms, social media, and review websites. This allows companies to understand customer sentiment, identify issues, improve product quality, and enhance overall customer experience to build stronger trust and brand loyalty.
Amazon Store Monitoring
For businesses selling on Amazon, web scraping solutions help monitor product rankings, pricing trends, customer reviews, and competitor activity. This provides actionable insights that help optimize listings, improve visibility, and enhance overall store performance in a highly competitive marketplace environment.
AI-Powered Data Extraction
Our web scraping solutions leverage AI and automation to extract structured and unstructured data efficiently from complex and dynamic websites. This approach improves accuracy, scalability, and processing speed, enabling businesses to generate reliable insights and support data-driven decision-making at scale.
Brand Sentiment Monitoring
Web scraping enables businesses to track brand sentiment across social media platforms, forums, and review websites. This helps companies understand public perception, detect negative feedback early, and adjust strategies to maintain a positive brand image and improve customer engagement.
PDF Data Extraction
AI-powered PDF data extraction allows businesses to extract valuable information from documents such as reports, invoices, and catalogs. It converts structured and unstructured data into usable formats, reduces manual effort, and enables faster processing of large volumes of document-based information.
Web Scraping Technical Overview
Our web scraping solutions are built using scalable architectures, modern frameworks, and advanced automation techniques. We combine multiple technologies to handle different types of websites, ensure data accuracy, and deliver structured outputs for business use.
Our expertise includes (but is not limited to)
We build custom scraping solutions across a wide range of platforms:
E-commerce
(Amazon, Walmart, Shopify stores)
Healthcare
(medical records, events, research data, hospital listings, reports)
Real Estate
(property listings, pricing, location data, rental insights)
OTT platforms and streaming services
Social media platforms and community driven content
Government and public data portals
Financial and market data platforms
Travel, hospitality, and booking platforms
Job portals and recruitment platforms
Directory and listing Web + Mobile Apps
(Zomato, Swiggy, GroceryMart, etc.)
In addition to the above, we can scrape any website or platform where data is accessible, regardless of industry, structure, or complexity.
We specialize in extracting all types of available data in internet, including product data, pricing, reviews, listings, catalogs, events, documents, and structured or unstructured datasets for business use.
Core Technologies
We use industry-standard tools and frameworks for reliable and scalable data extraction:
- Scrapy framework for large-scale crawling
- Selenium for browser automation
- Playwright for handling dynamic websites
- Django for backend processing and workflow management
Python Libraries Used
Our scraping solutions leverage powerful Python libraries for parsing, processing, and exporting data:
- Requests for HTTP data fetching
- lxml and BeautifulSoup for HTML parsing
- JSON for structured data handling
- Re (regular expressions) for pattern matching
- Pandas and numpy for data processing and transformation
Have a specific scraping requirement or an unusual data source? Our Python engineers will scope it for free — no commitment required.
Get a Free Technical ConsultationWebsite-Wise Preferred Technical Stack
We use a flexible and adaptive technical approach based on website structure, data complexity, and industry requirements, rather than relying on a single fixed stack.
Our web scraping architecture is designed to handle any type of platform, including dynamic, API-driven, and document-heavy systems. Industry & Platform-Based Approaches:
Healthcare & Research Platforms:
Scrapy + Playwright/Selenium + proxy rotation + PDF and document extraction
Real Estate & Property Platforms:
Scrapy + Playwright/Selenium + PDF handling + structured data extraction
eCommerce & Marketplace Websites:
Scrapy + Playwright/Selenium + proxy rotation + product and pricing validation
Social Media & Community Platforms:
Scrapy + session management + residential proxies + dynamic content handling
OTT & Streaming Platforms:
Scrapy + Playwright + API inspection + metadata extraction
Government & Public Data Portals:
Scrapy + lxml + table parsing + PDF/document extraction
Mobile Applications & API-Based Platforms:
API analysis + requests + JSON parsing + reverse engineering of endpoints
Capability:
Our approach is not limited to specific industries. We can adapt our technical stack to any website or platform where data is accessible, including complex, dynamic, and large-scale systems.
Proxy and Anti-Blocking Strategy
To ensure uninterrupted scraping and avoid blocking, we use:
- Residential proxies
- Rotating proxies
- Datacenter proxies
- Mobile proxies
This enables large-scale data extraction with geo-targeting and high success rates.
PDF and Document Data Extraction
We handle both structured and unstructured document data using:
- PyPDF2 for text-based PDF extraction
- pdf plumber for tables and structured data
- OCR tools for scanned documents
- pytesseract for image-based text recognition
- Llama Index for document indexing and processing
- GenAI/LLM-based extraction for metadata, titles, abstracts, and authors
Key Technical Capabilities
Our web scraping solutions support advanced use cases such as:
- Dynamic website scraping
- API and GraphQL response handling
- Session and cookie management
- Stock and price validation
- Product variation and attribute handling
- Sponsored data extraction
- Data cleaning, validation, and transformation
Common Output Formats
We deliver structured data in formats that integrate easily with your systems:
- JSON
- CSV
- Excel
- API
- Database storage (SQL/NoSQL)
Technical Summary
- We use Scrapy for scalable crawling and structured extraction
- Selenium and Playwright handle dynamic and JavaScript-heavy websites
- Proxies ensure anti-blocking, geo-targeting, and large-scale scraping
- Python libraries are used for parsing, cleaning, validation, and data export
Web Scraping Case Studies - Projects We Have Built for Global Clients
We have developed production scraping pipelines across Healthcare, eCommerce, Travel, Finance, and Entertainment for businesses in the USA, UK, UAE and beyond.
Web & PDF Data Scraping for Healthcare Medical Conferences 
USA
We developed a large-scale web scraping system covering 1000+ healthcare websites across the USA to collect medical event data from both websites and PDF documents. The solution extracts key details such as event names, dates, locations, and speaker information from dynamic and unstructured sources. Using advanced scraping tools and AI-based PDF parsing, the system ensures accurate and reliable data extraction. All data is cleaned, structured, and stored in a centralized database for easy access.
INDUSTRY
Healthcare
TECH STACK
Python, Scrapy, Playwright, Django, Celery, Redis, Gemini AI
Data Points Collected
Web data, structured JSON from PDFs
Scale
Multi-source automated pipeline
Challenge
Extracting data from dynamic websites and unstructured PDFs with inconsistent formats.
Solution
We develop a robust scraper that:
- Handles JavaScript-heavy websites
- Uses AI to parse unstructured PDFs
- Validates and structures extracted data
- Automates end-to-end data pipelines
Dental Product Inventory & Stock Intelligence Scraper 
Brazil
We built an advanced scraping ecosystem to monitor dental product inventory across 8+ platforms with variant-level tracking. The system captures stock details like specific product variations to size, type, pricing dynamically. By syncing data to PostgreSQL, it automates 30,000+ collection and reporting. Advanced proxy rotation ensures high accuracy despite anti-bot protections. This enabled real-time inventory insights and competitive advantage.
INDUSTRY
Healthcare /E-commerce
TECH STACK
Python, Django, Celery, PostgreSQL, ScrapiOps, Zyte
Data Points Collected
Product variations, stock levels, pricing, availability
Scale
8+ websites, variant-level tracking
Challenge
Tracking real-time stock across multiple websites with complex product variations and strong anti-bot protections.
Solution
We built an advanced scraping ecosystem that:
- Tracks stock at variant level (size, type, etc.)
- Uses proxy rotation and anti-block tools
- Automates daily data extraction and reporting
- Cleans and structures data for analysis
Need a similar data extraction solution for your business?
Book a Free Scraping Consultation
Amazon Product & Pricing Scraper USA
For Amazon, we developed a scalable web scraping solution to extract product listings, pricing, and customer reviews across thousands of items. The system efficiently handled pagination, filtering, and dynamic content to ensure accurate data collection. All data was structured and stored in a centralized database for analysis. This enabled businesses to monitor competitors, optimize pricing strategies, and improve decision-making. The solution significantly reduced manual effort while delivering real-time insights.
INDUSTRY
E-commerce
TECH STACK
Python, Scrapy, Selenium, PostgreSQL, AWS
Data Points Collected
Product titles, prices, reviews, ratings, seller info
Scale
100k+ products
Challenge
Managing high-volume product data across multiple pages with dynamic loading, filtering, and sorting.
Solution
We built a robust scraper that:
- Handles pagination and dynamic content
- Extracts structured product and review data
- Manages proxy rotation and anti-bot handling
- Stores clean data in a centralized database
Hotel Revenue Management Scraper (Booking.com) USA
We built a data scraping system for Booking.com to help hotels track competitor pricing and availability. The tool collected room rates, types, and availability for multiple competitors from 365-day booking windows. Data was organized into structured formats and made accessible via APIs for reporting and forecasting. This allowed hotels to make data-driven pricing decisions. As a result, businesses improved revenue optimization and gained a competitive edge.
INDUSTRY
Hospitality / Travel
TECH STACK
Python, BeautifulSoup, Selenium, JSON APIs, AWS Lambda
Data Points Collected
Room types, prices, availability, competitor ratings
Coverage
30+ competitors per hotel, 365 days
Challenge
Collecting accurate competitor pricing data across multiple dates and locations.
Solution
We developed a system that:
- Scrapes booking data across date ranges
- Tracks competitor pricing trends
- Structures data into JSON for API access
- Integrates with hotel dashboards for reporting
Need a similar data extraction solution for your business?
Book a Free Scraping Consultation
Spotify Artist Analytics Scraper 
UK
For Spotify, we developed a data pipeline to gather and analyze artist performance metrics, including streams, listeners, and playlist placements. The system also captured audience demographics and historical trends over time. All insights were visualized through an interactive dashboard for easy analysis. This helped artists and teams understand audience behavior and improve marketing strategies. The solution enabled smarter data-driven growth in the music industry.
INDUSTRY
Music / Entertainment
TECH STACK
Python, APIs, Data Pipelines, MongoDB, React Dashboard
Data Points Collected
Streams, listeners, demographics, playlists
Time Range
12 months of artist data
Challenge
Aggregating diverse artist performance metrics into a unified analytics system.
Solution
We created a data pipeline that:
- Collects song and album performance metrics
- Tracks listener demographics and playlist placements
- Aggregates historical trends
- Displays insights in a user-friendly dashboard
TripAdvisor Nearby Places Scraper USA
We developed a location-based scraping solution for TripAdvisor to collect data on nearby restaurants, attractions, and venues. Using geographic inputs, the system extracted detailed reviews, ratings, and images for each location. The data was organized into a scalable database with location filters and real-time recommendations. This enabled enhanced user experiences, including AI/ML-based exploration. The project delivered a comprehensive local discovery platform.
INDUSTRY
Travel / Location Intelligence
TECH STACK
Python, Selenium, Geo APIs, MongoDB, AWS
Data Points Collected
Place names, reviews, ratings, history, images, location data
Coverage
Multiple cities and geolocations
Challenge
Extracting structured location-based data (restaurants, attractions, bars) using geographic inputs while maintaining accuracy across dynamic listings.
Solution
We built a geo-based scraping system that:
- Uses location coordinates and city filters
- Extracts detailed place information, reviews and images
- Stores data in a scalable database
- Integrates with AI/ML-based search features for real-time exploration
Need a similar data extraction solution for your business?
Book a Free Scraping Consultation
Amazon Seller Review Scraper USA
We created an advanced review scraping system for Amazon to extract customer feedback and reviewer details. The system navigated multiple pages and adapted to frequent layout changes to ensure consistent data extraction. It collected reviews, ratings, and user insights for in-depth sentiment analysis. The structured data also helped businesses understand customer behavior and improve products. This resulted in better marketing knowledge and enhanced customer engagement.
INDUSTRY
E-commerce / Customer Insights
TECH STACK
Python, Scrapy, Selenium, Proxy Rotation, PostgreSQL
Data Points Collected
Customer reviews, ratings, reviewer profiles, product details
Coverage
100k+ reviews across multiple products
Challenge
Extracting limitless customer reviews along with user information from multiple pages, while adapting to frequent layout changes.
Solution
We developed a dynamic scraper that:
- Navigates product and review pages efficiently
- Extracts customer reviews with metadata
- Handles pagination and anti-bot measures
- Continuously adapts to frontend changes
Types of Custom Web Scraping Solutions We Build for Different Industries
Each industry has different website structures, data models, anti-bot challenges, and legal considerations. We build scraping pipelines specifically engineered for your sector — with the right tech stack, the right proxy strategy, and the right data validation for your use case.
eCommerce & Marketplace Scraping
We build scraping pipelines for Amazon, Walmart, Shopify, eBay, Flipkart, and custom eCommerce platforms — extracting product listings, pricing, inventory levels, seller rankings, ASIN data, and customer reviews at scale. Our scrapers handle dynamic page loading, pagination, product variant tracking, and Amazon's anti-bot systems to deliver clean, structured product data for competitive pricing, catalog management, and marketplace intelligence.
Real Estate Data Scraping
We extract property listings, pricing trends, rental rates, days-on-market data, location coordinates, agent information, and historical pricing from real estate portals, MLS platforms, and property marketplaces. Our real estate scrapers handle geo-based filtering, interactive map interfaces, and PDF document extraction to deliver structured property data for analytics, valuation models, and investment research tools.
Healthcare & Medical Data Scraping
We build healthcare-aware scraping systems for extracting medical event data, provider directories, clinical trial listings, drug databases, and hospital information from 1,000+ sources including dynamic websites and complex PDFs. Our pipelines use Gemini AI and LlamaIndex for AI-powered PDF parsing — extracting structured data from event schedules, research papers, and medical reports that traditional scrapers cannot process.
Travel & Hospitality Scraping
We scrape hotel pricing, room availability, competitor rates, restaurant listings, review data, and airline fares from Booking.com, TripAdvisor, Airbnb, Expedia, and other travel platforms. Our hospitality scrapers cover 365-day date ranges, multi-competitor tracking, geo-based location filtering, and real-time benchmarking to power revenue management systems and pricing intelligence dashboards.
Finance & Market Data Scraping
We extract stock prices, financial statements, earnings reports, analyst summaries, news headlines, company filings, and regulatory disclosures from financial platforms, SEC/EDGAR portals, and investment research websites. Our financial scrapers handle session management, paginated archives, and structured document extraction to deliver timely, clean data for trading models, risk analytics, and investment research.
Social Media & Brand Sentiment Scraping
We build public brand monitoring pipelines that extract posts, comments, reviews, and engagement metrics from social media platforms, forums, Reddit, and review websites. Our systems track brand mentions, competitor sentiment, product feedback, and trending topics in real time — delivering structured datasets for marketing teams, PR professionals, and product development workflows.
Why Choose Kanhasoft for Custom Web Scraping Services?
Selecting the right web scraping partner directly determines whether your pipeline stays reliable after the first week — or breaks every time a target website updates its layout. At Kanhasoft, we've delivered 7+ production web scraping systems across Healthcare, eCommerce, Travel, Finance, and Entertainment. We combine deep Python expertise with AI-assisted extraction and proactive maintenance to ensure your data arrives on time, every time.
Python-First, Not SaaS-Limited
We engineer your scraper from scratch in Python — not as a configuration in a third-party SaaS scraping tool. This means no monthly subscription fees for your data pipeline, no vendor-imposed limits on volume or frequency, and complete ownership of your scraping infrastructure. You own the code, the pipeline, and the data.
AI-Powered for Complex Sources
Most scraping companies stop at HTML. We go further — using Gemini AI, LlamaIndex, and OCR tools to extract structured data from PDFs, scanned documents, and unstructured sources that traditional scrapers can't handle. We've processed 1,000+ healthcare PDFs at scale with 95%+ accuracy.
Anti-Bot Expertise Built In
Proxy rotation, CAPTCHA solving, headless browser automation, session management, and rate limiting are not afterthoughts in our builds — they are core architecture decisions made before a single line of scraping code is written. Our systems maintain high accuracy against Amazon, Booking.com, and other heavily protected platforms.
Maintained, Not Abandoned
Websites change. Most scrapers break within weeks of delivery when target sites update their layout. Every project we deliver includes active monitoring, automatic failure alerts, and ongoing maintenance to keep your pipeline running reliably — not just through the first run, but over the long term.
How Our Custom Web Scraping Process Works
Building a reliable web scraper is not about writing a quick Python script — it's about understanding your data sources, your volume requirements, and your anti-bot landscape before a single line of code is written. Our process ensures your pipeline is built right the first time, and stays running long after delivery.
Discovery & Requirement Analysis
We start by understanding your target websites, data fields, extraction frequency, delivery format, and any known anti-bot challenges. We review the site structure, check for JavaScript rendering requirements, assess PDF or document extraction needs, and identify the right technical approach before scoping the project. You receive a clear, itemised estimate after this phase — before any commitment is made.
- Target URL review
- Data field mapping
- Frequency planning
- Delivery format selection
- Anti-bot assessment
- Full project scoping
Scraper Architecture & Tech Stack Selection
We select the right combination of tools based on your specific websites and data complexity. Static HTML sites use a different stack than JavaScript-rendered SPAs or PDF document pipelines. We design the proxy strategy, data validation approach, storage architecture, and scheduling mechanism at this stage — so the pipeline is built to scale from the first run.
- Tech stack selection
- Proxy strategy design
- Storage architecture
- Scheduler configuration
- Data validation planning
Development, Testing & Validation
We build your scraper using agile development with regular progress updates. Testing covers extraction accuracy, anti-bot handling, edge cases, data validation, and full pipeline runs against all target URLs. We test at scale before delivery — not after. Your data accuracy is validated against defined benchmarks (typically 95%+) before the pipeline goes live.
- Scraper development
- Proxy integration
- CAPTCHA handling
- End-to-end pipeline testing
- Data accuracy validation
- Edge case handling
Delivery, Automation & Ongoing Maintenance
We deliver clean structured data in your chosen format (JSON, CSV, PostgreSQL, MongoDB, REST API), set up automated scheduling, configure error monitoring and failure alerts, and provide documentation for your team. We offer ongoing maintenance to update scrapers when target websites change their structure — so your pipeline stays reliable over the long term, not just on day one.
- Data delivery setup
- Scheduler automation
- Error monitoring
- Failure alert configuration
- Documentation
- Ongoing maintenance
Custom Web Scraping vs SaaS Scraping Tools — Key Differences
Businesses evaluating web scraping often compare building a custom solution against using a SaaS scraping platform (Apify, Scraperapi, Brightdata, Octoparse). Both have their place. Here is an honest comparison to help you decide which approach is right for your data requirements.
- SaaS Scraping Tools
- Monthly subscription per page/request
- Fast - ready - made templates
- Limited to platform features
- Cost scales with volume - expensive at scale
- Not available on most platforms
- Basic - often blocked by major sites
- No - locked into vendor platform
- Variable - no custom validation
- Simple, low-volume, ad-hoc data needs
- Vendor-managed (their timeline)
- Factors
- Cost Structure
- Setup Speed
- Customisation
- Data Volume
- PDF / Document Extraction
- Anti-Bot Handling
- You Own the Code
- Data Accuracy
- Best For
- Maintenance
- Custom Web Scraping (Kanhasoft)
- One-time development cost, no ongoing fees
- 1-3 weeks depending on complexity
- Fully custom - any website, any data structure
- Fixed cost regardless of data volume
- AI-powered (Gemini AI, LlamaIndex, OCR)
- Advanced - residential proxies, CAPTCHA, session management
- Yes - full code ownership
- Custom validation logic, 95%+ accuracy
- Complex, high-volume, business-critical pipelines
- Kanhasoft-managed (our SLA)
SaaS scraping tools work well for simple, low-volume, one-time data tasks. For businesses that need reliable, high-accuracy, high-volume data pipelines — especially from complex or protected websites — a custom-built solution delivers significantly better accuracy, lower long-term cost, and complete control over your data infrastructure. Kanhasoft specialises in the latter.
Written and reviewed by the Kanhasoft Engineering Team
This page was written and technically reviewed by Kanhasoft's Python and data engineering team — specialists with 13+ years of experience building custom web scraping solutions, data extraction pipelines, and AI-powered document processing systems for businesses in the USA, UK, UAE, Europe, and Israel. Our engineers have built production scraping systems processing 100,000+ products, 1,000+ healthcare websites, and 50,000+ reviews across eCommerce, travel, healthcare, finance, and entertainment sectors.
13+ Years · 500+ Projects · 5★ on Clutch
Frequently Asked Questions — Web Scraping Services
What is Web Scraping?
Web scraping is the automated process of extracting structured data from websites, marketplaces, and public sources using code — rather than copying it manually. A custom web scraping system sends programmatic requests to target URLs, parses the HTML or JSON response, extracts the specific data fields your business needs (prices, product names, reviews, listings, contact details, events, etc.), and delivers it in a clean, usable format such as JSON, CSV, or directly into your database.
Modern web scraping goes far beyond simple HTML parsing. Today's production scraping projects require handling JavaScript-rendered pages (Single Page Applications built in React, Angular, or Vue), bypassing sophisticated anti-bot systems, managing authenticated browser sessions, rotating residential and datacenter proxies, solving CAPTCHAs, extracting data from PDFs and scanned documents, and building fully automated data pipelines that run on a schedule without any human intervention.
Businesses across healthcare, eCommerce, real estate, hospitality, finance, and logistics use web scraping to collect competitor pricing, monitor inventory levels, track customer reviews, aggregate property listings, gather medical event data, and automate repetitive research processes that previously required hours of manual work every week. When the right data is collected reliably and automatically, it becomes a competitive advantage — not a recurring manual task.
At Kanhasoft, we have delivered custom web scraping and data extraction solutions for clients in the USA, UK, UAE, Brazil, France, and the UK — covering 1,000+ healthcare websites, 100,000+ eCommerce products, 50,000+ customer reviews, travel booking platforms, Spotify artist analytics, and location-based discovery systems. Our team specialises in the complex end of web scraping — the high-volume, anti-bot-protected, document-heavy projects that generic tools cannot handle.
Have a data collection challenge? Tell us what you need — we'll scope a solution for free.
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