Food data scraping FAQ — the answers we'd give on a call.

Food data scraping is the automated extraction of publicly available data from food websites, mobile apps and APIs — including restaurant menus, item prices, ratings, reviews, grocery SKUs, inventory, alcohol catalogs and nutrition labels. It enables food brands, distributors, investors and analysts to monitor markets, benchmark competitors and forecast demand.

Food Data Scrape is a B2B food data scraping and AI intelligence company. We extract, structure and analyze restaurant menu, grocery, alcohol, coffee and specialty-diet data from 200+ platforms across 40+ countries, then apply AI to deliver demand forecasts, real-time price monitoring, review sentiment and nutrition-compliance data.

Restaurant chains (QSR, casual dining, multi-outlet brands), grocery and q-commerce platforms, alcohol importers and distributors, foodservice suppliers, CPG brands, market analysts, PE/VC investors, foodtech startups, and ML/AI teams building food intelligence products.

Founded in 2021 in Ahmedabad, India. Singapore HQ opened in 2023. Today: 70+ in-house engineers, 500+ clients globally, 40+ countries with active data pipelines, offices in Singapore and Ahmedabad.

Two offices: Singapore (Global HQ — 60 Paya Lebar Rd, #11-22) and Ahmedabad, India (Engineering Centre — 202, Near Indraprastha Business Park, Makarba). Phone: +1 424 377 7584. Email: info@fooddatascrape.com.

Zomato, Swiggy, Uber Eats, DoorDash, Deliveroo, Grubhub, Just Eat, Talabat, Careem Quik, Noon Minutes, GrabFood, foodpanda, iFood, Rappi, Instacart, Walmart, Blinkit, Zepto, BigBasket, Swiggy Instamart, Tesco, Ocado, ASDA, Sainsbury's, Coles, Woolworths, Total Wine, Vivino, Dan Murphy's, and 200+ more across 40+ countries.

Live food data pipelines in 40+ countries — including USA, UK, UAE, India, Saudi Arabia, Australia, Singapore, Germany, Spain, France, Italy, Netherlands, Switzerland, Canada, Brazil, Mexico, Japan, Malaysia, Qatar and Kuwait. See all markets →

1. Restaurant Menu Data (Zomato, Uber Eats etc.), 2. Grocery & Quick Commerce (Instacart, Blinkit, Walmart), 3. Alcohol, Tobacco & Vape (Total Wine, Vivino), 4. Coffee & Beverage (Starbucks, Costa, energy drinks), 5. Health & Specialty Diet (vegan, organic, keto, Halal).

6 AI services: Demand Forecasting, Real-Time Price Monitoring, Reviews & AI Sentiment, Cloud & Dark Kitchen Tracking, Foodservice Lead Intelligence, and Nutrition & Allergen Compliance.

Almost always yes. We add new platforms regularly — most new platform builds scope in 1-2 weeks. Tell us your platform →

Clean CSV, JSON, Excel files; real-time REST APIs and webhooks; pre-built datasets; or interactive dashboards. Data can also be pushed directly into Snowflake, Google BigQuery, AWS S3, Power BI, Tableau or Google Sheets.

Configurable per project — from one-time snapshots to hourly, daily, weekly or sub-hour real-time for enterprise pipelines. Real-time price monitoring uses event-based change detection.

99%+ accuracy with multi-layer QA. Every dataset goes through automated validation, duplicate removal, currency/price normalization, and schema verification before delivery. Quality SLA available on DaaS and enterprise tiers.

Yes — every dataset is built AI-ready from day one. Structured, labeled, schema-validated for downstream ML. Includes ingredients, nutrition, reviews, demand signals — engineered to train recommender systems, demand AI and taste profiling models.

Enterprise proxy rotation across 200+ data centers, ML-driven request fingerprinting, adaptive crawler behavior, browser-grade rendering for JS-heavy sites, and continuous monitoring for blocks. Self-healing pipelines adapt within hours when platforms update.

Yes — custom fields, custom transformations, custom validation rules, custom delivery formats. Most enterprise clients have their own internal schema that we conform to.

Free pilot for 1,000 records (no card, no commitment). Projects from $1,000 scoped to need. Data-as-a-Service from $5,000/month for always-on managed pipelines. Enterprise multi-region real-time from $10,000-$50,000+. Full pricing details →

Yes — zero cost. No credit card, no commitment. 1,000 records from your chosen platform & country, delivered in 48-72 hours. No follow-up sales pressure if you don't proceed.

Most pilot projects deliver sample data within 48-72 hours of a scoping call. Paid projects ship in 1-2 weeks. Enterprise pipelines are planned around your timeline with dedicated engineers and account managers.

Four options: (1) Free Pilot — risk-free quality check, (2) Project — one-time scoped extraction from $1,000, (3) Data-as-a-Service — always-on managed pipeline from $5,000/month, (4) Enterprise — multi-region with full SLA from $10K-$50K+.

Yes — 30-day notice for cancellation. Pause for up to 90 days at 50% reduced rate (keeps your pipeline warm without losing historical context). No long-term lock-in.

Yes. We collect only publicly available information following ethical, compliant practices aligned with GDPR and applicable regulations. No private user data, login-protected content or PII is accessed without authorization.

Absolutely — we encourage it. We provide documented sourcing approach for your legal team. NDAs available on request. Many enterprise clients complete legal review before pilot.

Yes — full GDPR alignment for EU clients. Documented compliance practices ready for legal review. We never scrape PII without authorization. Public product/menu/price data only.

We follow ethical scraping practices including respecting site-owner preferences where applicable. Our approach is transparent — your team can audit it. We also offer compliance documentation for legal review.

Yes — Halal certification tracking is a core capability for Gulf market clients (UAE, Saudi, Qatar). We also handle USA FDA labeling, UK FSA standards, EU allergen frameworks, and age-gate compliance for alcohol products.

Yes — standard NDA available on request, mutual or one-way. For enterprise engagements, our legal team will review your NDA template and execute promptly.