The Challenge Our client, a flooring and tile e-commerce company, needed to extract product catalog and dealer location data from Daltile. The goal was to analyze pricing, product availability, and distribution networks for competitive benchmarking and online store integration. Manual collection was inefficient due to thousands of SKUs and location-specific details. Hurdles We Faced Our […]
The Challenge Our client, a construction analytics and materials supply company, wanted to extract detailed project and contractor data from CIS India. The goal was to track upcoming and ongoing infrastructure projects, identify potential clients, and analyze industry trends. Manual collection from the portal was tedious and failed to capture frequent project updates. Hurdles We […]
The Challenge Our client, a real estate investment firm, needed to collect property auction data from Allsop, including property details, guide prices, auction dates, and sale results. The goal was to centralize this data for analysis, pricing trends, and investment decision-making. Manual tracking of listings and updates across multiple auction events was inefficient and error-prone. […]
The Challenge Our client, a PR and marketing intelligence agency, needed to extract journalist and media outlet data from PressHunt, including names, publications, contact details, topics covered, and social media links. The goal was to build a custom media outreach database to improve campaign targeting and influencer engagement. Manual export or lookup was not feasible […]
The Challenge Our client, an investment research and fintech analytics firm, wanted to gather startup and investor data from Capital Connector, including company profiles, industries, funding stages, investor names, and contact details. The goal was to build a centralized dataset for deal sourcing, partnership matching, and trend analysis. Manual collection was inefficient and couldn’t keep […]
The Challenge Our client, a real estate intelligence and legal tech company, needed to extract property and land record data from the MGCM (Maharashtra Government Corporation Municipal) portal. The goal was to collect ownership details, property tax data, and assessment records for analytics and due diligence. Manual data lookup was slow and error-prone due to […]
The Challenge Our client, a wellness and astrology analytics startup, needed to collect astrologer profiles, services, pricing, and user reviews from AstroTalk to analyze market trends, expert performance, and pricing insights. Manual data collection was time-consuming and could not keep up with frequent updates and new listings. Hurdles We Faced Our Step-by-Step Approach Requirement Analysis:Identified […]
The Challenge Our client, a food delivery analytics and retail intelligence firm, needed to collect restaurant, grocery, and convenience store data from DoorDash – including menus, product names, pricing, ratings, and delivery availability. With thousands of listings updated frequently across multiple cities, manual data extraction was not feasible for maintaining real-time insights. Hurdles We Faced […]
The Challenge Our client, a food analytics and restaurant aggregator startup, needed to collect restaurant, menu, and pricing data from Uber Eats across multiple cities. The goal was to analyze pricing trends, menu variations, and restaurant availability in different regions. Manual data gathering was impossible due to the platform’s dynamic structure and massive volume of […]
The Challenge Our client, a B2B analytics and lead generation company, needed to collect buyer and seller data from IndiaMART, including product details, company names, contact info, and location. Manual data gathering was slow, inconsistent, and couldn’t handle the platform’s massive product listings and frequent updates. Hurdles We Faced Our Step-by-Step Approach Requirement Analysis:Defined essential […]