We extract hyper-local restaurant menus, Quik grocery pricing, delivery fees, and merchant metrics from Careem. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Restaurant Merchants objects from careem.com. All fields typed and schema-versioned.
"merchant_id": "CR-AE-DXB-9321", "name": "Al Safadi Restaurant", "cuisine_tags": "['Lebanese', 'Middle Eastern', 'Grills']", "rating": 4.7, "review_count": 8432, "delivery_fee": 7.0, "delivery_time_min": 35, "is_promoted": true
| # | merchant_id | name | cuisine_tags | rating | review_count | delivery_fee |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Menu Items objects from careem.com. All fields typed and schema-versioned.
"item_id": "ITM-99214", "merchant_id": "CR-AE-DXB-9321", "name": "Mixed Grill Platter", "description": "Selection of meat skewers, chicken taouk, and lamb kebab.", "price": 85.0, "currency": "AED", "category": "Main Courses", "is_available": true
| # | item_id | merchant_id | name | description | price | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Quik Groceries objects from careem.com. All fields typed and schema-versioned.
"product_id": "QK-88321", "store_id": "Q-DXB-01", "name": "Al Ain Bottled Drinking Water", "brand": "Al Ain", "category": "Beverages", "price": 8.5, "discount_price": 7.0, "stock_status": "IN_STOCK"
| # | product_id | store_id | name | brand | category | sub_category |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Delivery Fees & ETA objects from careem.com. All fields typed and schema-versioned.
"target_lat": 25.0766, "target_lng": 55.1453, "merchant_id": "CR-AE-DXB-9321", "base_delivery_fee": 5.0, "surge_multiplier": 1.2, "total_delivery_fee": 6.0, "estimated_eta_mins": 42, "distance_km": 4.2
| # | target_lat | target_lng | merchant_id | base_delivery_fee | surge_multiplier | total_delivery_fee |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for DineOut Offers objects from careem.com. All fields typed and schema-versioned.
"venue_id": "DO-DXB-441", "name": "Zuma Dubai", "neighborhood": "DIFC", "discount_pct": 15, "max_discount_amount": 250.0, "rating": 4.9, "cuisine": "Japanese", "careem_plus_exclusive": true
| # | venue_id | name | neighborhood | city | discount_pct | max_discount_amount |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Careem scraper handles the complexities of hyper-local MENA data: geo-spoofing, dynamic delivery fees, multi-vertical extraction (Food, Quik, DineOut), and mobile API reverse-engineering.
Extract categories, items, descriptions, pricing, and nested modifier groups (add-ons, sizing) for any restaurant on Careem Food.
Inject precise latitude and longitude coordinates to capture accurate delivery fees, ETAs, and zone-specific merchant availability.
Monitor SKU-level pricing, out-of-stock statuses, and promotional discounts across Careem Quik dark stores.
Track base fees, service fees, and surge multipliers dynamically based on time of day and target delivery radius.
Capture aggregate ratings, review counts, cuisine tags, and promotional placement flags for competitive benchmarking.
Extract DineOut discount percentages, maximum cap values, and Careem Plus exclusivity flags across thousands of venues.
Extract data across UAE, KSA, Egypt, Jordan, Pakistan, and other active MENA markets from a unified pipeline.
Bypass limited web interfaces by directly interacting with Careem's mobile API endpoints for richer, faster data extraction.
Run one-off bulk exports or configure continuous pipelines at hourly, daily, or real-time cadences with change-detection diffing.
Brief in. Clean data out.
Provide lat/lng coordinate pairs, target cities, or specific merchant IDs. We design the extraction schema together.
We configure API emulators, MENA-based proxy rotation, header signing, and session management for Careem.
Schema validation, null-rate checks, location-accuracy verification, and sample menus before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Careem relies heavily on mobile APIs and location-based scoping. Here is how we extract accurate, hyper-local data consistently.
Careem's merchant availability and delivery fees are strictly bound to user location. We inject precise latitude and longitude coordinates into API requests, ensuring the data exactly matches what a user at that specific address sees.
The Careem web interface often lacks the complete data payload available in the mobile app. We reverse-engineer and emulate iOS/Android API calls, capturing hidden metadata, deeper modifier structures, and accurate surge pricing.
Careem employs aggressive geo-fencing and edge protection. Our infrastructure routes requests through ISP-grade residential proxies physically located in the UAE, KSA, and Egypt to maintain high success rates and avoid regional blocks.
For large restaurant catalogues, we maintain a hash index of last-seen values per menu item. Subsequent runs only push diffs — reducing compute cost, storage bloat, and downstream processing load.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, API structural changes, and coverage drops — responding before your downstream systems are affected.
Cloud kitchens and enterprise restaurant groups monitor competitor menu pricing, promotional cadence, and modifier structures.
Rival aggregators track Careem's base fees, service charges, and surge multipliers across specific neighborhoods to optimise their own pricing.
FMCG brands and rival quick-commerce platforms track Quik dark store inventory, out-of-stock rates, and category pricing.
POS vendors and B2B suppliers identify top-rated, high-volume restaurants across MENA cities to target their sales efforts.
Investors and analysts track restaurant penetration, new merchant onboarding velocity, and category dominance by neighborhood.
Marketing teams audit Careem DineOut campaigns and in-app promo codes to measure competitor discount depth and frequency.
"Careem operates the most critical hyper-local delivery network in the Middle East — but extracting that data requires precise geo-spatial emulation."
Most teams fail at hyper-local scraping. Reliable Careem extraction requires MENA-based residential proxies, mobile API reverse-engineering, precise lat/lng coordinate spoofing, and continuous schema monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis — not the infrastructure.
Everything supported by our careem.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Our architecture injects precise coordinate grids into Careem's mobile API endpoints, mapping entire cities systematically without missing hyper-local zones.
We maintain dedicated pools of residential ISP proxies across the Middle East. Rotation happens per-request with sticky sessions to bypass regional WAF rules.
Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About careem.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Careem is generally permissible. DataFlirt targets only public, non-authenticated merchant, pricing, and menu data. We do not extract personal user data, driver PII, or circumvent authentication walls. Clients should review Careem's ToS and consult legal counsel for specific use cases.
We use MENA-specific residential ISP proxies, mobile API header emulation, and request timing modelled on legitimate app traffic. We monitor for 403/WAF rate spikes in real time and trigger pool rotation automatically.
We support extraction across all active Careem markets, including the UAE, Saudi Arabia (KSA), Egypt, Jordan, Pakistan, Bahrain, Kuwait, and Morocco. You specify the cities or coordinate grids.
Real-time streaming pipelines achieve sub-15-minute latency for delivery fees and ETAs. Full city-wide restaurant catalogue refreshes at daily cadence complete within a 4-8 hour window depending on grid density.
You provide a list of target latitude/longitude coordinates (or we generate a grid for a city). Our pipeline queries Careem's endpoints as if a user is standing at each specific coordinate, capturing accurate distance-based fees and merchant visibility.
Our smallest packages start at a defined grid of coordinates or a specific merchant list (e.g., top 5,000 restaurants in Dubai) with weekly delivery. Contact us with your use case for a scoped quote.
Absolutely. We provide a sample run of up to 100 merchants or a specific neighborhood grid as part of the pre-engagement scoping process — so you can validate schema fit, field completeness, and data quality before signing any contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off menu catalogue dump or a continuous price-monitoring feed across MENA — we scope, build, and operate the pipeline. Tell us what you need.
