USA
EMAIL
PHONE
Built by people who know the pain of broken scrapers
We started Product Data Scrape after years of watching brand and category teams pay engineering teams to maintain fragile scrapers that broke every other week. There had to be a better way — a managed service that just delivered clean data. So we built it.
From DIY scrapers to managed service — the why.
The founding insight
Founders saw e-commerce brands burning engineering budgets on internal scrapers that broke weekly — with no SLA, no QA, no support. Brands needed a managed data partner.
First production customer
An Indian electronics brand replaced their fragile internal scraper with our managed service. They cut their data ops headcount by 4 and improved data freshness 5x.
Multi-marketplace coverage
Expanded from 5 marketplaces to 25+. Added Amazon (5 geos), Walmart, Flipkart, Myntra, Meesho, Croma, Reliance Digital.
Quick Commerce era
Built specialised infrastructure for Blinkit, Zepto, Swiggy Instamart — pincode-level pricing, dark store mapping, hourly refresh.
Global expansion
Added UAE (Noon, Amazon.sa), UK (Tesco, Sainsbury's), US (Walmart, Target, Best Buy). Native Arabic, multilingual teams onboarded.
200+ brands milestone
Crossed 200 active brand and retailer customers. Built specialised teams for jewelry, pharma, automotive, fashion verticals.
AI shelf visibility
Launched tracking for Google AI Overviews, ChatGPT Shopping, Perplexity citations — the new AI-driven discovery layer.
What's next
Expanding into LATAM (Mercado Libre), Southeast Asia (Shopee, Lazada), social commerce (TikTok Shop, Whatnot). Same managed-service promise.
The commitment
Brands shouldn't have to be data engineers to compete. We handle the messy data work so you can focus on category strategy.
Four principles that shape how we work.
Managed > DIY
You're a brand, not a scraping company. We exist so you don't have to build, maintain, or staff in-house scrapers.
Quality over scale
QA-reviewed data beats massive raw datasets. We pass every delivery through manual + automated checks.
Customer-first commercials
Per-SKU per-refresh pricing — transparent, predictable. No bandwidth surprises, no opaque tiers.
Long-term partnerships
Our average customer relationship is 4+ years. We build for that horizon — not transactional sales.
Headquartered in India. Customers across 5 continents.
India — HQ
Ahmedabad headquarters. Engineering, data ops, customer success teams.
USA & Canada
Sales coverage for North American brands & retailers.
UK & Europe
Native German, French, Spanish data quality reviewers.
UAE & KSA
Arabic-native team for Middle East data quality.
SEA & Australia
Sales & data ops for SEA, ANZ, growing Singapore presence.
LATAM
Portuguese-native team for Brazil & Mexico (expanding).
About Product Data Scrape
2019, in Ahmedabad, India. We've been continuously operating and growing since then — now with 200+ customers across 5 continents.
We're a managed data service, not a SaaS platform. You don't log into a tool or maintain anything — we deliver clean datasets directly into your workflow (CSV, BI tool, API).
Engineering (scraper infrastructure) + Data Ops (QA review) + Customer Success (dedicated CSMs). Most customers get one dedicated CSM and Slack channel for their account.
Yes — case studies are public for several customers. References on call available after a discovery call.
SOC 2 Type II in progress (target Q3 2026). ISO 27001 certified data handling practices. Detailed security posture available under NDA.