We extract restaurant metadata, complete menus, dynamic delivery fees, prep times, and Deliveroo Plus offers. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your schedule.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Restaurant Data objects from deliveroo.co.uk. All fields typed and schema-versioned.
"restaurant_id": "29481", "name": "Dishoom", "branch_name": "Kensington", "rating": 4.8, "review_count": 4192, "delivery_fee": 2.49, "min_order": 15.0, "is_plus_eligible": true
| # | restaurant_id | name | branch_name | cuisine_tags | rating | review_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Menu Items objects from deliveroo.co.uk. All fields typed and schema-versioned.
"item_id": "item_98412", "name": "House Black Daal", "price": 8.5, "category": "Mains", "popular_flag": true, "dietary_labels": "['Vegetarian', 'Gluten-Free']", "out_of_stock": false
| # | item_id | restaurant_id | category | name | description | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Modifiers & Options objects from deliveroo.co.uk. All fields typed and schema-versioned.
"modifier_id": "mod_112", "group_name": "Choose your spice level", "option_name": "Extra Hot", "additional_price": 0.0, "is_required": true, "max_selections": 1, "default_selection": false
| # | modifier_id | item_id | group_name | option_name | additional_price | is_required |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Delivery Logistics objects from deliveroo.co.uk. All fields typed and schema-versioned.
"restaurant_id": "29481", "postcode": "SW7 4RB", "estimated_time_min": 25, "estimated_time_max": 40, "delivery_fee": 2.49, "service_fee": 1.99, "distance_miles": 1.2
| # | restaurant_id | postcode | distance_miles | estimated_time_min | estimated_time_max | delivery_fee |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Promotions objects from deliveroo.co.uk. All fields typed and schema-versioned.
"promo_id": "promo_554", "title": "20% off entire menu", "discount_amount": 20.0, "discount_type": "percentage", "min_spend": 25.0, "plus_only": false, "valid_until": "2026-12-31T23:59:59Z"
| # | promo_id | restaurant_id | title | description | discount_amount | discount_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Deliveroo pipeline handles geospatial coordinate injection, GraphQL interception, and dynamic pricing extraction. We normalise menu structures across thousands of restaurants into a clean, queryable schema.
Deliveroo visibility is strictly hyper-local. We inject specific latitude and longitude coordinates to extract accurate delivery fees and restaurant availability for any target postcode.
Capture categories, item names, descriptions, prices, dietary tags, and high-resolution image URLs across the entire menu.
Extract nested options like size variations, spice levels, and add-ons with their associated price increments and selection rules.
Identify Plus-exclusive offers, reduced delivery fees, and minimum spend thresholds required for subscription benefits.
Monitor delivery fees, service fees, and estimated prep times that fluctuate based on rider supply and demand surges.
Identify ghost kitchens and virtual brands operating out of Deliveroo Editions hubs or shared commercial kitchen spaces.
Extract meal deals, percentage discounts, buy-one-get-one offers, and free delivery campaigns tied to specific restaurants.
Track out-of-stock flags at the item level to analyse supply chain issues or popular product sell-out rates.
Extract data from deliveroo.co.uk, deliveroo.ie, deliveroo.fr, deliveroo.it, and other supported international markets.
Brief in. Clean data out.
Provide target postcodes, coordinates, or specific restaurant URLs. We design the extraction schema together.
We configure GraphQL interceptors, coordinate spoofing, proxy rotation, and session management for deliveroo.co.uk.
Schema validation, location accuracy checks, and menu completeness verification before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on your defined cadence.
Food delivery platforms rely on complex internal APIs and strict location gating. Here is how we build resilient pipelines for Deliveroo data.
Deliveroo uses complex, nested GraphQL queries to populate restaurant lists and menus. Our pipeline intercepts these network requests directly, extracting clean JSON payloads rather than scraping fragile DOM elements.
Restaurant visibility and delivery fees change block by block. We use a coordinate grid approach, injecting specific lat/long pairs to simulate users at exact delivery addresses, ensuring accurate fee and availability data.
Delivery fees fluctuate based on weather, time of day, and rider availability. Our scheduled pipelines capture these dynamic pricing events by running high-frequency sweeps during peak meal times.
Deliveroo requires valid session tokens and CSRF headers for API access. Our infrastructure automatically negotiates, stores, and rotates these tokens across our proxy pool to maintain uninterrupted access.
Every restaurant formats its menu differently. We normalise categories, modifier groups, and dietary tags into a consistent, predictable schema so you can query data across thousands of vendors instantly.
Restaurant chains monitor competitor pricing, menu updates, and promotional strategies across different postcodes.
Analysts track the growth of Deliveroo Editions and virtual brands to understand market saturation and cuisine gaps.
Aggregators and logistics companies benchmark delivery fees, service charges, and minimum order values against rider supply.
Pricing teams analyse modifier costs, portion pricing, and category averages to optimise their own menu margins.
Beverage and snack brands monitor their product placement, pricing, and out-of-stock rates across grocery partners on Deliveroo.
Real estate and expansion teams use restaurant density and cuisine availability data to identify prime locations for new dark kitchens.
"Deliveroo's dynamic pricing and hyper-local restaurant visibility create a fragmented dataset that demands precise geospatial extraction."
Extracting food delivery data requires precise coordinate injection, GraphQL interceptors, and handling dynamic delivery fees tied to rider supply. DataFlirt manages the location spoofing, token generation, and session rotation so you receive normalised menu and pricing data without maintaining the infrastructure.
Everything supported by our deliveroo.co.uk scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
We bypass fragile DOM scraping by intercepting Deliveroo GraphQL network requests directly. This ensures higher data fidelity, faster extraction speeds, and immediate access to hidden metadata.
We match target coordinates with highly localised residential proxies. This prevents location mismatch errors and ensures the delivery fees extracted exactly match what a local user sees.
Menu structures vary wildly between a local cafe and a national chain. Our pipeline runs normalisation scripts on the fly, standardising categories and modifiers before data hits your warehouse.
Data delivered to where your team already works — no new tooling required.
About deliveroo.co.uk scraping, legality, and pipeline operations.
Ask us directly →Yes. Deliveroo visibility is strictly location-based. You provide a list of target postcodes or coordinates, and our pipeline injects those exact locations to extract the accurate list of available restaurants and their specific delivery fees.
Yes. Delivery and service fees fluctuate based on time of day, weather, and rider availability. We capture the exact fee structure at the time of the scrape. For surge pricing analysis, we can configure high-frequency sweeps during peak hours.
Our JSON schema supports deep nesting. We capture all modifier groups (e.g., 'Choose your side', 'Add toppings'), individual options, additional price increments, and whether the selection is mandatory or optional.
Yes. We extract flags indicating if a restaurant participates in Deliveroo Plus, the minimum spend required to activate the benefit, and any Plus-exclusive promotional discounts.
Yes. The pipeline supports extraction from grocery partners (like Waitrose, Co-op, and Sainsbury's) and Deliveroo Hop dark stores, capturing inventory availability and retail pricing.
We support daily, weekly, or custom schedules. For menu and pricing updates, daily sweeps are standard. For tracking dynamic delivery fees or out-of-stock items, we can configure hourly pipelines for specific target areas.
Scraping publicly available restaurant menus, prices, and delivery fees is generally permissible. DataFlirt targets only public, non-authenticated data. We do not extract personal user data or circumvent authentication walls. Clients should review applicable terms and consult legal counsel for their specific use case.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off menu extraction for a single city or continuous price monitoring across the UK — we scope, build, and operate the pipeline. Tell us what you need.
