Restaurant & Menu Data Extraction via API — FoodBooking (Germany)

Client Overview

The client operates in the food-delivery and restaurant-discovery space and required structured restaurant and menu intelligence from FoodBooking, one of the established food-delivery and restaurant-discovery platforms. The goal was competitive intelligence and market research across the German food-delivery sector.

Actowiz Solutions designed and deployed an API-based solution built around a URL-to-UID resolution pipeline: the client provides a restaurant's website URL as input, and the system identifies the corresponding FoodBooking restaurant identifier (data-glf-ruid) embedded in the source HTML, constructs the FoodBooking restaurant URL dynamically, and extracts all available restaurant- and menu-level data — returning structured JSON through a dedicated API endpoint.

This lets the client query FoodBooking data using only publicly available restaurant website URLs, without needing to know FoodBooking-internal identifiers in advance.

The Challenge

• Depth of menu extraction. The requirement went far beyond basic listings — complete menu catalogues were needed, including item-level pricing, discount prices, options and add-ons, ingredients, allergens, additives, nutritional information per 100 units, GTIN numbers, caffeine and alcohol content where applicable, packaging deposit values, and stock availability.
• Structured API delivery. Data had to be returned programmatically through an API endpoint in validated JSON — not as batch files — for direct integration without additional transformation.
• Data completeness and null handling. Many attributes (venue ID, discount price, nutritional fields, GTIN, packaging deposit) are not available for every restaurant or item. Consistent null handling was required to keep schema integrity across all responses.

The Solution by Actowiz Solutions

Actowiz engineered a three-stage extraction pipeline — URL resolution, restaurant extraction, and menu extraction — exposed through a single JSON API endpoint, purpose-built for FoodBooking's German-market implementation.

Stage 1 — URL-to-UID Resolution

On receiving a restaurant website URL, the system fetches the page HTML and scans for the data-glf-ruid attribute placed by FoodBooking's widget infrastructure. The extracted UID is used to dynamically generate the corresponding FoodBooking restaurant URL, which becomes the entry point for all subsequent extraction. Any restaurant website carrying the FoodBooking widget becomes queryable through the API.

Stage 2 — Restaurant-Level Extraction

From the generated FoodBooking URL, the system extracts the full set of restaurant-level attributes — identity, address, contact details, ratings, location coordinates, cuisine classification, price range, opening and delivery times, delivery base price, minimum order value, and legal registration information where available. The request timestamp, original client URL, API key, and logic version are captured in response metadata for full traceability.

Stage 3 — Menu-Level Extraction

The menu stage retrieves the complete catalogue — all categories, category descriptions, and every menu item — capturing pricing, discount pricing, images, options and add-ons, ingredients, GTIN numbers, nutritional values per 100 units, allergens, additives, availability status, and tags. Unavailable attributes (caffeine, alcohol %, packaging deposit, GTIN) are returned as null to maintain schema consistency.

Unified API Response

All three stages execute in a single API call, returning one validated JSON response that combines request metadata, the full restaurant object, and a menu array of all extracted items — a complete restaurant and menu record in a single interaction.

Results & Business Impact

• Menu & pricing intelligence. Full catalogue extraction gave deep visibility into product offerings, pricing, and discount structures across target restaurants.
• Regulatory-level menu data. Nutritional attributes, allergens, additives, and GTIN numbers supported compliance analysis and product intelligence beyond standard market research.
• URL-to-data resolution at scale. The client could query FoodBooking data using only public restaurant website URLs — immediately usable against their existing URL inventory.
• Integration-ready delivery. JSON responses with request metadata (original URL, timestamp, logic version) gave full auditability and direct ingestibility.
• Schema stability. Consistent null handling kept the schema stable regardless of data-availability variation, preventing downstream parsing errors.

Client Feedback

"Actowiz Solutions delivered exactly what we needed: a scalable way to transform restaurant URLs into complete FoodBooking intelligence. Their API provided highly structured menu, pricing, nutritional, and restaurant data with exceptional accuracy, helping us accelerate competitive analysis across the German food delivery market."

— Product Director, Leading Food Intelligence Platform

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