Crawl Magic Solutions

Crawl Magic Solutions is a web scraping and data extraction firm based in Ahmedabad, India, with offices in Manchester, Kentucky. Founded over a decade ago, the company now operates with 80+ engineers in-house and claims 15+ years of experience. It serves 2500+ clients globally and automates 4.5 million web workflows weekly. The core business is extracting structured data from websites, mobile apps, and APIs—transforming unstructured web content into machine-readable feeds for e-commerce, food delivery, travel, real estate, and other sectors.

Crawl Magic holds ISO 9001:2015 and ISO/IEC 27001:2013 certifications. The company advertises 99% product matching accuracy and 10-second data refresh rates. It maintains 24/7 support with an average response time of 10 minutes and claims 12,000+ positive reviews across marketplaces. One client testimonial notes: "Great Work Done by Crawlmagic team. team is brilliant in web data scraping fields. We had a very good experience working with the Crawlmagic team and the people are very fast at work and have very good knowledge." Another states, "It was great to work with them. They did the work expected with ease. Also, They met the hard deadline."

Services and capabilities

Crawl Magic's primary offering is custom web scraping services. The company provides end-to-end extraction from websites and mobile apps, handling data collection, transformation into structured formats, and delivery. They offer pre-built scrapers for popular platforms including Amazon, TikTok, Instagram, Twitter, and Yelp, marketed as "no-coding" solutions. For e-commerce clients, they scrape product data (price, images, URLs, ratings, reviews) from Amazon, Walmart, eBay, Shopee, Lazada, Target, Best Buy, and Google Shopping. Food delivery scraping covers Zomato, DoorDash, UberEats, Swiggy, GrubHub, and others, extracting menu data, pricing, and restaurant details. Hotel data scraping pulls rates, reviews, and availability from Expedia, Booking, Agoda, Airbnb, and TripAdvisor. Grocery delivery spans Amazon Pantry, Kroger, Instacart, BigBasket, and others. Social media scraping works on LinkedIn, Reddit, YouTube, Twitter, and Tumblr. Real estate scraping extracts property listings, agent data, and pricing.

Beyond raw scraping, Crawl Magic offers a dynamic pricing/repricer product aimed at e-commerce sellers on Amazon, eBay, and Walmart. This service monitors competitor prices, applies rule-based and AI-driven pricing adjustments, tracks SKU performance, analyzes digital shelf rankings, and optimizes product descriptions for SEO. The company claims 99% accuracy in competitor price matching and operates the repricing engine 24/7. Data delivery options include custom APIs, webhooks, and integration into enterprise applications. Crawl Magic also maintains a catalog of pre-built datasets across industries and geographies that clients can purchase or customize.

How they work

Crawl Magic operates on a project and retainer basis, offering custom scraping tailored to client specifications. They claim to handle all technical aspects—hardware, software, coding—so clients need no scraping expertise. The company emphasizes quick turnaround; one case study references the FreshDirect grocery scraping project, though details beyond the title are not provided in the source. Support is 24/7 globally with stated 10-minute average response time. Pricing is not disclosed publicly; clients are encouraged to contact sales for a free consultation. The workflow follows research, development, testing, and deployment phases.

Team and credentials

Crawl Magic has 80+ engineers on staff and claims 15+ years in the industry with 350+ completed projects. It holds ISO 9001:2015 (quality management) and ISO/IEC 27001:2013 (information security) certifications from IAF and IAS. The company lists offices in Ahmedabad (primary headquarters) and Manchester, Kentucky. No founder names are provided in the source material. The team is described as "real professionals with years of expertise" across various industries, though no individual credentials are cited.