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Projects Completed
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Years of Experience
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What is Web Scraping?
Web scraping is the process of extracting structured data from websites, marketplaces, and public sources using automated scripts, crawlers, and APIs.
Businesses use web scraping services to collect pricing data, product details, reviews, listings, catalogs, and competitor insights for analytics, automation, and decision-making.
Kanhasoft provides custom web scraping solutions for businesses in the USA, UK, Europe, Israel, Switzerland, and the UAE.
What our clients say
Kanhasoft delivered a high-quality website and met all expectations. A detailed QA style ensured accuracy during the process and Kanhasoft provided value and a good working relationship. Advocacy groups are impressed by demonstrations and users are pleased.
Kanhasoft completed the all of the project specifications within the designated timeline and internal personnel are happy with the quality. The team’s prompt communication and level of past experience in the industry helped them deliver a product that surpassed all expectations.
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.
I am writing to express my heartfelt gratitude to Kanhasoft team for the exceptional work they have done in coding and building my application. Their professionalism, timely responses, and dedication have truly brought my vision to life. I am thoroughly satisfied with the outcome and am looking forward to continuing our collaboration in the future. Thank you Kanhasoft for a job well done.
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.
The KanhaSoft team is readily accessible and good at translating ideas into fully-developed platforms. Whether it’s matchmaking or client and employee management, they created highly customized, user-friendly platforms that functioned well and reduced business costs.
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.
At Avnew Health, partnering with Kanhasoft for our CRM development and integration was a great experience. They helped us maintain an IPD-compliant environment while ensuring the CRM worked seamlessly. The project stayed on time, on budget, and was well managed via Asana. Their responsiveness over Zoom and Google Meet impressed us. Kanhasoft has been a reliable, skilled partner from start to finish.
Kanhasoft delivered a custom ERP system that transformed how we operate at Secro. They improved our efficiency by over 40% and reduced document processing time dramatically. Their team handled project management flawlessly and adjusted quickly to any changes we needed. Their technical skill and professionalism made the process smooth and exceeded our expectations.
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.
Some of the Scrapers That We Have Built for Our Clients
Web & PDF Data Scraping for Healthcare Medical Events
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.
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Industry
Healthcare
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Country
United States of America (USA)
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Tech Stack
Python, Scrapy, Playwright, Django, Celery, Redis, Gemini AI
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Data Points Collected
Web data, structured JSON from PDFs
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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
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Measurable Impact
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95%+
Success rate in data extraction
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100%
Fully automated workflow
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Adapt
Flexible system adaptable to new formats
Dental Product Inventory & Stock Intelligence Scraper
We built an advanced scraping ecosystem to monitor dental product inventory across 8–9 platforms with variant-level tracking. The system captures stock details for specific product variations such as size and type. Using Django, Celery, and PostgreSQL, it automates daily data collection and reporting. Advanced proxy rotation ensures high accuracy despite anti-bot protections. This enabled real-time inventory insights and competitive advantage.
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Industry
Healthcare / E-commerce
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Country
Brazil
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Tech Stack
Python, Django, Celery, PostgreSQL, ScrapOps, Zyte
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Data Points Collected
Product variations, stock levels, pricing, availability
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Scale
9+ 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
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Measurable Impact
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98%+
data accuracy
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100%
Fully automated reporting system
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Adapt
Improved inventory and pricing strategies
Amazon Product & Pricing Scraper
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.
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Industry
E-commerce
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Country
United States of America (USA)
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Tech Stack
Python, Scrapy, Selenium, PostgreSQL, AWS
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Data Points Collected
Product titles, prices, reviews, ratings, seller info
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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
- Implements proxy rotation and anti-bot handling
- Stores clean data in a centralized database
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Measurable Impact
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95%+
data accuracy
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70%
reduction in manual data collection
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Adapt
Real-time pricing intelligence for competitive analysis
Hotel Revenue Management Scraper (Booking.com)
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 over a 365-day period. 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.
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Industry
Hospitality / Travel
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Country
United States of America (USA)
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Tech Stack
Python, BeautifulSoup, Selenium, JSON APIs, AWS Lambda
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Data Points Collected
Room types, prices, availability, competitor listings
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Coverage
20+ 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
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Measurable Impact
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Improved pricing strategy accuracy
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Increased revenue optimization opportunities
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Automated competitor benchmarking
Spotify Artist Analytics Scraper
For Spotify, we created a data pipeline to gather 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.
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Industry
Music / Entertainment
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Country
United Kingdom (UK)
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Tech Stack
Python, APIs, Data Pipelines, MongoDB, React Dashboard
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Data Points Collected
Streams, listeners, demographics, playlists
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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 data
- Displays insights in a user-friendly dashboard
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Measurable Impact
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Enhanced artist performance tracking
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Better audience targeting insights
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Data-driven music marketing strategies
TripAdvisor Nearby Places Scraper
We developed a location-based scraping solution for TripAdvisor to collect data on nearby restaurants, attractions, and venues. Using geographic inputs, the system extracted details like reviews, ratings, and images for each location. The data was stored in a structured database and integrated into an application with real-time recommendations. This enabled enhanced user experiences, including AR/VR-based exploration. The project delivered a comprehensive local discovery platform.
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Industry
Travel / Location Intelligence
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Country
United States of America (USA)
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Tech Stack
Python, Selenium, Geo APIs, MongoDB, AWS
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Data Points Collected
Place name, reviews, ratings, history, images, location data
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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 including reviews and images
- Stores data in a scalable database
- Integrates with AR/VR-based search features for real-time exploration
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Measurable Impact
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Created a comprehensive local places database
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Enabled location-aware recommendations
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Improved user experience with real-time nearby suggestions
Amazon Seller Review Scraper
We created an advanced review scraping tool 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 helped businesses understand customer behavior and improve products. This resulted in better marketing strategies and enhanced customer engagement.
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Industry
E-commerce / Customer Insights
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Country
United States of America (USA)
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Tech Stack
Python, Scrapy, Selenium, Proxy Rotation, PostgreSQL
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Data Points Collected
Customer reviews, ratings, reviewer profiles, product details
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Scale
50K+ reviews across multiple products
Challenge
Extracting detailed 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 mechanisms
- Continuously adapts to frontend changes
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Measurable Impact
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High-quality customer sentiment data
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Improved product feedback analysis
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Enabled better marketing and product decisions
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
Website-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
Need powerful and scalable web scraping solutions for your business? Connect with our experts to build custom data extraction systems tailored to your workflow.
Steps Of Providing Data Scraping Services
Exposing Data Potential from Customization to Secure Delivery, We Navigate Every Step of Your Data Scraping Journey with Precision and Excellence.
Requirement Analysis
We begin by understanding your business objectives, target websites, data requirements, output formats, and scraping frequency. Our team also identifies the best data sources and strategies to ensure accurate and relevant data extraction aligned with your specific business needs and use cases.
API and Script Development
Our developers build robust scraping engines using APIs and custom scripts tailored to your requirements. We test extensively to ensure reliability, structure the data properly, and store raw datasets for scalability, while maintaining high performance and accuracy during the data extraction process.
Custom Data Extraction
We extract targeted data points such as pricing, product details, reviews, listings, and other relevant information from selected sources. Our focus is on delivering precise and structured data that aligns with your business goals and supports analytics, automation, and decision-making processes.
Data Cleaning and Standardization
After extraction, we clean and standardize the data by removing duplicates, correcting inconsistencies, and organizing it into structured formats. This ensures high-quality, reliable, and consistent datasets that are ready for analysis, reporting, and integration into business systems.
Dataset Delivery
We deliver structured datasets in formats such as JSON, CSV, Excel, or database integrations. Additionally, we can provide dashboards and visualization tools that allow you to analyze data through charts, reports, and insights, enabling better understanding and faster decision-making.
Ongoing Maintenance and Support
We provide continuous support to ensure your scraping systems remain accurate and up to date. This includes handling website changes, improving performance, fixing issues, and scaling data pipelines to meet evolving business requirements and long-term data extraction needs.
Data Sources And Points We Can Extract
We can get information from many places using our website scraping services. Our experts can grab various types of data from different sources, such as:
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Contact Information
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PDF Data
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Online Files & Documents
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Website Data
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Ecommerce Stores & Marketplaces
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Social Media Data
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Image Data
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Data From Business Directories
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Product/Service Pricing Data
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Online Job Portals
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Public Records
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Reviews And Ratings
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Online Course Material
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Government Data Archives
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Financial Reports
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News Articles
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Research Papers
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Custom Data Points
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Contact Information
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PDF Data
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Online Files & Documents
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Website Data
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Ecommerce Stores & Marketplaces
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Social Media Data
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Image Data
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Data From Business Directories
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Product/Service Pricing Data
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Online Job Portals
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Public Records
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Reviews And Ratings
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Online Course Material
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Government Data Archives
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Financial Reports
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News Articles
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Research Papers
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Custom Data Points
Benefits Brought by The Scraper
Stay Competitive in Real Time
- Helps companies stay competitive by getting real-time product info from different places.
Track Market Trends
- Lets companies know what's popular and what customers like by looking at reviews and social media.
Smarter Pricing Decisions
- Helps companies set their prices better by using data on how other companies do it.
Improve Products Through Feedback
- Helps companies make their products better by looking at what customers say.
Spot Potential Problems Early
- Analytics software helps companies find possible problems with products by looking at complaints and feedback.
Save Time with Automation
- Technology allows businesses to automate product data extraction processes, saving time and resources.
Why Choose Kanhasoft’s as Your Data Scraping Company?
Choose Kanhasoft for unparalleled data scraping expertise—where precision meets reliability, delivering tailored solutions for your unique needs.
Qualified Team
- Experienced in handling large systems and big data scraping across different industries
- Assist with identifying and addressing your specific needs
- Find and solve complex problems
- Build custom solutions tailored to your project
- Add measurable value to your work
Cooperation and Flexibility
- A dedicated project manager keeps you updated on ongoing work
- Ensures smooth and effective collaboration
- Reliable partners you can trust
- Provide extensive support and maintenance for all scraping products built
Reviews and Feedbacks
- Guided by principles of trustful collaboration
- Follow flexible approaches and processes
- Focused on achieving the desired results
- Customer reviews available on Clutch, Design Rush, and Upwork
Explore Additional Services of Kanhasoft : Solving More Problems for You
Web App Development
Kanhasoft builds custom web applications with a focus on user experience, strong technology, and business results.
Mobile App development
We create iOS and Android apps that are intuitive, feature-rich, and optimized for performance and design.
ERP Software Development
Custom ERP systems that streamline processes, improve efficiency, and scale with your business.
CRM Software Development
CRM solutions that help you manage customer relationships, boost engagement, and improve sales processes.
Cloud/SaaS App Development
Scalable and secure SaaS applications built on cloud technology for better accessibility and performance.
IT Staff Augmentation Services
Hire skilled remote developers who integrate seamlessly into your team and deliver high-quality results.
Industries We Serve
For years, we have been the best software development company in UK, USA and India, and for all those years, we have served clients belonging to different industries and domains.
Frequently Asked Questions
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