eCommerce Product Data Scraping Services
Scraping workflows that prioritize data integrity
One-size-fits-all AI scraping tools often fail at scale when eCommerce sites shift to dynamic layouts and sophisticated anti-bot defenses. DOM (Document Object Model) fluctuations, anti-bot measures, and JavaScript-heavy rendering create significant data gaps, resulting in IP blacklisting, CAPTCHA walls, and incomplete datasets. Relying on "off-the-shelf" AI tools often results in broken parsers, high failure rates, and unstructured data that requires extensive manual cleaning, with no validation layer to catch errors or attribute misalignment.
That’s where our eCommerce data scraping agency helps!
We automate the extraction of competitive intelligence—prices, product descriptions, reviews, and stock levels—from online marketplaces and retail sites in real time. We combine automated scraping with human oversight to ensure you get accurate, complete data. Our team leverages HTML scraping, headless browser scraping, scraping proxies, industry-leading APIs, customized scripts, and crawlers to efficiently extract raw data at scale from complex or dynamic websites. Our team further transforms raw web data into validated, structured & ready-to-use datasets.
Site-specific scraping logic for each target eCommerce platform
Real-time data pipelines with configurable refresh intervals
Multi-source data aggregation from your preferred sources
Human quality checks to catch errors that automated systems miss
Proactive monitoring and updates when competitor sites change
Structured delivery formats: JSON, CSV, XML, and more.
Full-Spectrum eCommerce Scraping Services Delivering Structured Data Across Every Use Case
Product Price Monitoring
We provide continuous, real-time price tracking across key marketplaces & websites, ensuring that you stay informed of competitor pricing strategies. Our service allows you to adjust your pricing dynamically in response to market changes, keeping your products competitive. We track individual product prices at the SKU level, delivering reliable data for strategic decision-making.
- Real-time price tracking from multiple marketplaces and competitors
- Automated alerts for price changes, drops, and surges
- Historical pricing data to identify trends and pricing patterns
- Monitor individual SKUs for accurate, granular pricing insights
- Customizable data refresh intervals to suit your needs
Competitor Data Scraping
We systematically extract product and operational data from your competitors' storefronts and marketplace listings, giving your team a structured view of their catalog, pricing strategy, and market positioning. Coverage spans product launches, inventory availability, category expansions, and seller activity—consolidated into unified datasets across all monitored sources.
- New and discontinued product listings
- Category structure and catalog depth
- Stock availability and inventory indicators
- Seller rankings and fulfillment metrics
- Product page content updates and repositioning
Promotion & Discount Monitoring
We scrape data from eCommerce sites in real time to track promotions, discount codes, and sales events. Our product scraping services capture detailed information on product-level discounts & offers, keeping you informed about competitive pricing and promotional trends. With this data, you can quickly adjust your strategy & optimize your own promotions.
- Monitor active promotions, flash sales, and time-sensitive offers
- Capture discount codes, coupon details, and redemption rules
- Track product-level discounts, seasonal sales, and bundles
- Real-time notifications for flash sales and limited-time offers
- Collect comprehensive promotion data for analysis and strategy alignment
Market/Product Trends Data Extraction
We scrape data from eCommerce platforms to provide actionable insights into market trends and top-performing products. Our service focuses on identifying best-selling categories, tracking the top sellers, and monitoring product performance in real time. We extract key data such as sales volumes, top-rated products, customer reviews, and features. By analyzing competitor listings and industry shifts, we help you align your product strategy with the most profitable market trends.
- Scrape data on top-selling categories and products across leading marketplaces
- Extract sales volume, units sold, and demand trends for high-performing products
- Track top sellers and monitor their pricing, features, and customer ratings
- Capture detailed product information, including specifications and popular features
- Monitor competitor product listings and new launches to stay ahead of trends
Sentiment Analysis
As a part of eCommerce scraping services, we extract consumer-generated content from product review sections, Q&A panels, and ratings across marketplaces and retail sites, then structure it for sentiment analysis. This gives your product and marketing teams direct, unfiltered access to customer feedback on your products and competitors at scale, without manual collection.
- Extract star ratings and review scores by product and variant
- Analyze product reviews and social media mentions for sentiment data
- Verified vs. unverified review classification
- Review text, reviewer profiles, and submission dates
- Product Q&A content and seller responses
Supplier & Distributor Data Extraction
We specialize in extracting comprehensive data from eCommerce and industry-specific platforms to identify key suppliers, distributors, and vendors. Our service helps you build a robust network by collecting verified contact details, business information, and operational data, enabling you to streamline procurement and expand your supply chain.
- Extract supplier, distributor, and vendor details from eCommerce and business platforms
- Capture verified contact information, including emails, phone numbers, and job titles
- Monitor engagement signals to identify active suppliers and distributors
- Provide regularly updated data based on business needs and market changes
- Aggregate supplier data from multiple sources to ensure accuracy and relevance
Product Catalog Enrichment
As a part of eCommerce product data scraping services, we source and extract comprehensive product attributes from manufacturer websites, distributor portals, and marketplace listings, helping you enrich your catalog with complete, accurate, and standardized records that improve discoverability, customer experience, and operational efficiency.
- Technical specifications and product dimensions
- Material, composition, and compliance data
- High-resolution images and media asset URLs
- Variant attributes: size, color, weight, configuration
- Brand, manufacturer, and certification details
Anti-Counterfeiting Product Scraping
Protect your brand integrity by monitoring eCommerce sites and marketplaces for counterfeit products. Our eCommerce data scraping agency helps you identify fake listings and unauthorized sellers, helping you take swift action to remove counterfeit goods and safeguard your brand reputation.
- Scrape product listings for counterfeit items and unauthorized sellers
- Monitor product descriptions, images, and trademarks for potential infringements
- Track counterfeit-related customer feedback and reviews for alerts
- Identify unauthorized vendors and remove fraudulent listings
Data Feeds for AI & BI Tools
We enable you to extract & feed scraped data into dashboards, machine learning models, and business intelligence tools. From feeding pricing models with real-time competitor data to training recommendation engines, we ensure the data entering your systems is accurate and consistent.
- Structured datasets formatted for direct ingestion into BI tools
- Clean, normalized data pipelines compatible with ML training and model retraining workflows
- Real-time and scheduled data feeds integrated with your data warehouse or cloud storage
- Custom schema mapping aligned to your existing data models and field requirements
- Historical and timestamped datasets for trend analysis, forecasting, and anomaly detection
Custom Data Pipelines. Human-Verified Accuracy. Web Harvesting at Any Scale.
Extract Key Custom Data Fields from eCommerce Websites, Marketplaces, Manufacturer Portals, and Vendor Sites
Core catalog fields
- Product title & full description
- SKU, ASIN, GTIN, UPC, EAN
- Category & subcategory taxonomy
- Brand & manufacturer name
- Product images & media asset URLs
- Technical specifications & dimensions
- Weight, material & composition
- Variant attributes (size, color, config)
- Product page URL & canonical link
- Breadcrumb path & internal categorization
All price fields & variants
- Listed / MSRP price
- Sale & promotional price
- Member-exclusive & loyalty pricing
- Bulk/volume tier pricing
- Subscription pricing rates
- Currency & regional price variants
- Price change timestamps
- Historical price trend data
- Tax-inclusive vs. tax-exclusive values
- Minimum advertised price (MAP) indicators
Offer & deal intelligence
- Discount percentage & markdown value
- Coupon codes & redemption conditions
- Flash sale windows & expiry timestamps
- Bundle & free gift offers
- Deal badge text
- Homepage & category banner promotions
- Loyalty & referral program offers
- Lightning deals & Prime-exclusive pricing
- Promotional landing page content
- Campaign frequency & historical cadence
Sentiment & social proof
- Overall star rating & review count
- Rating distribution breakdown
- Full review text & title
- Reviewer profile & verified status
- Review submission date & timestamp
- Helpful vote count & abuse flags
- Product Q&A content
- Seller response to reviews
- Image & video attachments in reviews
- Sentiment keywords & topic clusters
Marketplace seller intelligence
- Seller name & storefront URL
- Seller rating & feedback score
- Total seller review count
- Fulfillment type (FBA, FBM, 3PL)
- Seller location & registered region
- Number of active listings
- Seller response rate & speed
- Return policy & dispute resolution metrics
- Platform membership & badge status
- Cross-platform seller presence
Competitor catalog & positioning
- New & discontinued product listings
- Catalog size & category depth
- Bestseller rank & category rank movement
- Search result positioning per keyword
- Product page content updates
- Featured product & sponsored placement
- Brand store layout & campaign changes
- Competitor pricing history & patterns
- Product launch frequency by category
- Cross-marketplace listing strategy
Page-level metadata & structure
- Meta title & meta description
- Canonical URL & page slug
- Structured data (JSON-LD, microdata)
- Heading hierarchy (H1–H3)
- Internal link structure & anchor text
- Image alt text & filename attributes
- Schema markup: Product, Offer, Review
- Breadcrumb trail & navigation path
- Page load metadata & CMS signals
- Robots & indexability directives
Brand protection signals
- Unauthorized seller names & storefront URLs
- Listing URLs with brand asset misuse
- Below-MAP pricing anomaly signals
- Copied product images & descriptions
- Trademark & brand name misuse instances
- Seller registration & contact details
- Cross-platform seller identity matching
- Geographic distribution of flagged listings
- Listing history & activity timestamps
- Grey-market & parallel import indicators
Business & contact intelligence
- Business name & registered entity
- Contact email & phone numbers
- Website URL & social profiles
- Platform presence & marketplace activity
- Product category focus & catalog scope
- Geographic location & shipping region
- Revenue & sales volume signals
- Employee count & company size indicators
- Technology stack & platform used
- Business registration & compliance data
eCommerce Data Mining: Extract Relevant Data From Leading Marketplaces & Platforms
Our eCommerce data scraping services help you extract valuable data from a wide range of online platforms. Whether you want to scrape product data from Amazon, scrape Walmart product data, or pull data from custom-built storefronts, our scraping workflows can match your exact requirements.
eCommerce Data Collection: Our Workflow
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Requirements Scoping & Agreement
We provide a free sample dataset to validate quality before full-scale eCommerce data extraction begins. All engagements are formalized through an NDA and SLAs.
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Target Identification
We map target sites, marketplaces, and competitor sources against your specific data requirements
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Use of custom scripts & APIs
We design custom scraping scripts and leverage industry-leading APIs to efficiently collect data from complex websites, ensuring compatibility with various site structures, JavaScript behavior, and access protocols.
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Data Extraction
We execute field-level parsing across HTML, XML, and JS-rendered pages for precise, structured output that meets your requirements.
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Data Cleaning
As a part of eCommerce data scraping services, our team also normalizes, deduplicates, and standardizes raw extracted data against your target schema
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Data Validation
We cross-verify records against quality thresholds using automated checks and manual QA reviews, and deliver in your preferred file formats.
AI Tools Have Limits. We Go Further Than AI Scraping Tools
Custom Scraping Pipelines for Your Target Websites
We build site-specific scrapers as per the target's DOM structure, JavaScript behavior, and access protocols—not generic tools applied universally. Every pipeline is configured to your business's exact data fields, schedule request intervals, and delivery format.
Human-in-the-Loop Quality Assurance
AI scraping tools operate autonomously and miss critical gaps. Our team reviews flagged anomalies, validates edge cases, and resolves data inconsistencies that automated systems cannot catch.
Residential Proxy Infrastructure and Anti-Detection Protocols
We operate through residential proxy networks to avoid IP blacklisting and CAPTCHA blocks. Your data collection runs continuously without access disruptions from platform-level bot defenses.
Organized, Analysis-Ready Datasets
Raw web data is inconsistent in format, contains fragmented records, and lacks fields, making it unusable without significant preprocessing. We normalize, deduplicate, and structure every dataset as needed.
Scalable Extraction Across Any Catalog Size
Whether you're monitoring 500 SKUs or 5 million product records across several competitor sites, our product scraping services effectively handle volume increases, new source additions, and catalog expansions without rebuilding pipelines from scratch.
Continuous Maintenance and Scraper Updates
eCommerce sites update their layouts, deploy new anti-bot measures, and restructure their pages regularly. We monitor every pipeline and update extraction logic, ensuring uninterrupted data flow.
Real-time Data Intelligence —Extracted, Validated, and Delivered to your Systems.
To know more about our capabilities or get a quotation, share your target sources and data requirements. Write to us at info@suntecindia.com.
eCommerce Data Scraping Services: Frequently Asked Questions
1. How frequently is the data updated?
Data refresh intervals are fully configurable to your operational requirements. Our eCommerce product data scraping services support real-time extraction, scheduled hourly or daily feeds, and custom interval pipelines. Refresh cadence is defined during onboarding and can be adjusted as your business needs evolve.
2. How do you ensure data security?
SunTec India is an ISO 27001-certified company. Your data is protected through:
- Project-specific confidentiality agreements ensure that sensitive client data is safeguarded at every stage of the engagement
- Enhanced firewalls and multi-layer IP protection to prevent unauthorized access during extraction
- Secure VPN access, controlling data pipeline access at the infrastructure level
- Encrypted email and FTP protocols for all data transfers, preventing interception during transmission
- Secure operational facilities with strict physical security protocols and supervised data operations
- Exclusive data handling—your data is never retained, shared, or repurposed beyond the agreed engagement scope
3. Can you scrape data at scale across thousands of SKUs and multiple competitor sites simultaneously?
Yes. As a leading eCommerce data scraping agency, our infrastructure is built to handle high-volume extraction across large product catalogs and multiple concurrent sources without compromising speed or accuracy. We scale pipelines as your monitoring requirements grow without rebuilding from scratch.
4. How long does it take to set up a custom scraping pipeline?
YeSet up timelines depends on the complexity and number of target sources. A single-site pipeline for a standard eCommerce platform typically goes live within 3-5 business days. Multi-source, high-volume pipelines with custom schema requirements may take longer due to testing and validation cycles.
5. Do you provide a sample dataset before the engagement begins?
Yes. We offer proof-of-concept data extraction from your target sources so you can validate fields, data quality, and structural formatting before committing to a full engagement for our eCommerce data scraping services. This ensures the delivered data meets your exact requirements before long term agreement.
6. Can you integrate scraped data directly with our existing CRM, ERP, or pricing software?
Yes. Our product data scraping agency can deliver structured data via REST API, webhooks, or direct database push, enabling seamless integration with pricing engines, ERP systems, CRM platforms, and analytics tools. Custom field mapping ensures scraped data aligns with your existing system architecture without manual reformatting.
7. Do you offer white-label scraping services for agencies?
Yes. Our eCommerce scraping services also support white-label engagements for digital agencies, market research firms, and technology providers that require scraping infrastructure under their own brand. Deliverables, reporting formats, and communication protocols are fully customizable to match your client-facing requirements.
8. Is eCommerce data scraping legal for business use?
Yes, scraping publicly accessible data is generally permissible for businesses. We follow responsible scraping practices, respecting each platform's terms of service, extracting publicly available data, and operating within defined access boundaries.
Sebastien Fletcher, UK