Discover data set through our Data Lake
All the tools you need to effortlessly discover, collect, and curate web data at scale.
From initial training to fine-tuning your models—we’ve got you covered.
Up-to-Date Insights
Cleansed and Validated
Harmonised and Normalised
Comprehensive Coverage
Actionable Insights
Multiple Data Source
Dataset of 100+ Web Apps
Accelerate your eTail initiatives
From on-demand, ethically sourced data to a dependable data scraping infrastructure.
Datasets
Clean and validated pre-collected datasets.
5+ Million eTail records
50+ popular domains
Social commerce data sets
10+ Million Review data sets
Price Comaprison data sets
Brand data sets
5000+ CPG data sets
Scraper APIs
Dedicated endpoints for top domains.
On-demand data
Bulk request handling
Scalable scraping
Single endpoint
Monthly refreshes
Manual & Automated Triggers
Task Monitoring
Data Scraping
Simplify your data collection and optimize performance.
Browser fingerprinting
Automated unblocking
IP rotations and retries
CAPTCHA solving
Social scrappers
Activity logging
Scrapping trackers
Available proxies
High-speed, reliable proxies for web scraping.
Residential IPs
Shared and dedicated
APIs for geo-targeting
Unlimited bandwidth
IP rotations
Diverse data types for comprehensive model training
Gather enough data to completely retrain Data Models.
Data Acquisition
From various eTail sources
Data acquisition involves sourcing product data from a wide range of eTail platforms, including major online retailers and marketplaces. By utilizing secured data sourcing, APIs, and data feeds, we gather key information on pricing, availability, consumer reviews, and product attributes.
Data Harmonisation
With Data Normalisation
Data harmonization ensures that data collected from various sources is standardized and made consistent across all platforms. By applying data normalization techniques, we remove redundancies and resolve discrepancies in product information, reviews, and pricing. This process structures data into uniform formats like JSON or CSV, making it easier to analyze and integrate with different systems.
Data Discovery
With our Data Lake
Our data lake allows businesses to store and manage vast amounts of structured and unstructured data, collected from various eCommerce channels. With advanced data discovery tools, users can easily search, query, and analyze data for patterns and trends.
Product Affiliation
With Adaptive scoring
Our adaptive scoring algorithm analyzes customer behavior, preferences, and purchasing patterns to assign scores to products based on their relevance and affiliation. This process helps businesses understand which products are frequently bought together or viewed as complementary. With adaptive scoring, businesses can offer personalized recommendations and bundles, enhancing customer experience and driving sales
Product relation discovery
With Knowledge Graphs
Knowledge graphs help businesses understand the complex relationships between products by mapping connections based on attributes like category, brand, and features. By analyzing data in a visual graph format, product relation discovery becomes seamless, enabling businesses to identify opportunities for cross-selling, up-selling, or bundling.
Data Monetisation
With Omni-channel marketing
Data monetization through omni-channel marketing leverages insights from collected data to target consumers across multiple platforms, such as email, social media, SMS, and mobile notifications. By integrating these channels, businesses can create personalized marketing campaigns that reach customers at the right time and on the right platform. This approach increases engagement, boosts conversion rates, and maximizes return on investment.
