We extract FMCG product listings, promotional mechanics, nutritional tables, and stock states from Ocado. 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 Product Data objects from ocado.com. All fields typed and schema-versioned.
"sku": "504383011", "title": "M&S Select Farms British Semi Skimmed Milk", "brand": "M&S", "category": "Dairy, Eggs & Chilled", "sub_category": "Milk", "price": 1.45, "price_per_unit": "64.0p per litre", "life_guarantee": "3 days+"
| # | sku | title | brand | category | sub_category | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pricing & Promos objects from ocado.com. All fields typed and schema-versioned.
"sku": "504383011", "base_price": 1.45, "promo_price": 1.45, "smart_pass_eligible": true, "smart_pass_price": 1.3, "multi_buy_offer": "None", "price_timestamp": "2026-05-12T09:14:00Z"
| # | sku | base_price | promo_price | promo_description | smart_pass_eligible | smart_pass_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Nutrition & Diet objects from ocado.com. All fields typed and schema-versioned.
"sku": "504383011", "energy_kcal": 50, "fat_g": 1.8, "saturates_g": 1.1, "sugars_g": 4.8, "salt_g": 0.1, "vegetarian_flag": true, "organic_flag": false
| # | sku | energy_kcal | fat_g | saturates_g | sugars_g | salt_g |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Ingredients & Allergens objects from ocado.com. All fields typed and schema-versioned.
"sku": "504383011", "ingredients_text": "Pasteurised Semi Skimmed Milk.", "allergens_contains": "['Milk']", "allergens_may_contain": "[]", "origin_country": "United Kingdom", "manufacturer_address": "Marks and Spencer plc, PO Box 3339, Chester, CH99 9QS"
| # | sku | ingredients_text | allergens_contains | allergens_may_contain | additives | lifestyle_flags |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Reviews & Ratings objects from ocado.com. All fields typed and schema-versioned.
"review_id": "REV-839201", "sku": "504383011", "rating": 5, "reviewer_nickname": "TeaDrinker99", "review_date": "2026-04-18", "review_title": "Always fresh", "verified_purchase": true
| # | review_id | sku | rating | reviewer_nickname | review_date | review_title |
|---|---|---|---|---|---|---|
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Our Ocado scraper targets FMCG product data, tracking daily price fluctuations, promotional mechanics, and complex nutritional tables across thousands of SKUs.
Extract every SKU across all departments, capturing titles, brands, categories, sub-categories, and high-resolution product imagery.
Track base prices, promotional discounts, multi-buy offers, and exclusive Smart Pass pricing mechanics.
Capture and standardise price per 100g, per 100ml, or per item to enable accurate cross-brand benchmarking.
Extract structured macronutrient tables, converting visual grid data into queryable JSON fields for energy, fat, sugar, and salt.
Isolate ingredient lists and specific allergen warnings (contains vs may contain) for compliance and product research.
Capture explicit tags for vegan, vegetarian, gluten-free, organic, and halal certifications present on product pages.
Extract the minimum life guarantee (e.g. '3 days+') displayed on fresh produce and chilled goods.
Filter and extract specific retailer ranges, including the integrated Marks & Spencer food catalogue.
Simulate delivery postcodes to determine regional stock availability and warehouse-specific out-of-stock states.
Run continuous pipelines that emit only changed records, capturing inflation trends and unannounced price hikes.
Brief in. Clean data out.
Provide target categories, specific brands, or search terms. We design the extraction schema together.
We configure Scrapy crawlers, handle regional session cookies, and map Ocado's GraphQL responses.
Schema validation, null-rate checks, and unit-price outlier detection before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Grocery sites feature complex promotional logic, hidden API endpoints, and regional stock variations. We manage the infrastructure so you receive clean data.
Ocado's frontend relies heavily on hidden GraphQL endpoints for pricing and stock states. We intercept these payloads directly, avoiding brittle DOM parsing and extracting structured data faster and more reliably.
Grocery availability varies by fulfillment centre. Our crawlers inject specific UK postcodes into the session state, allowing us to map out-of-stock states across different delivery regions.
FMCG pricing is rarely static. We parse complex promotional text ('Buy 2 for £4', 'Add 3 to save 20%') and Smart Pass tiers into distinct, calculable numeric fields for your database.
Nutritional information is often presented in inconsistent HTML tables. We normalise these grids into standard fields (per 100g and per serving) ensuring consistent schema across thousands of brands.
We route requests through UK-based residential IPs with realistic browser fingerprints, preventing regional blocking and rate-limiting from Ocado's security infrastructure.
Brands track daily price changes across their own SKUs and competitor products to monitor retail inflation and compliance.
Retail analysts monitor the frequency, depth, and duration of multi-buy offers and Smart Pass discounts across categories.
Marketing teams track category page rankings and search result positions to measure brand visibility against competitors.
Health tech companies and researchers aggregate macronutrient data to build dietary databases and health scoring algorithms.
Food manufacturers analyze ingredient trends, dietary flag proliferation, and flavour profiles within specific sub-categories.
Analysts monitor out-of-stock states across different postcodes to identify fulfillment bottlenecks and brand supply issues.
"Ocado represents the most structured digital grocery catalogue in the UK, holding critical pricing and nutritional signals for the entire FMCG sector."
FMCG brands and retail analysts require constant visibility into grocery pricing, promotional mechanics, and shelf availability. DataFlirt extracts this data reliably, bypassing bot protection and regional stock variations, delivering clean datasets ready for immediate analysis.
Everything supported by our ocado.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.
Scrapy handles crawl orchestration and deduplication. Playwright manages JavaScript rendering, cookie sessions, and GraphQL interception.
We maintain pools of UK residential ISP proxies to avoid geographic blocking and rate-limiting from retail security systems.
Pipelines execute on AWS ECS. Airflow manages scheduling and dependencies, ensuring daily price updates arrive on time.
Data delivered to where your team already works — no new tooling required.
About ocado.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available product, pricing, and nutritional information is generally permissible. DataFlirt targets only public data and does not extract personal user information or breach authenticated accounts. Clients should consult legal counsel regarding their specific use of the data.
We inject specific UK postcodes into the session cookies during the crawl. This allows us to simulate delivery to distinct regions and capture accurate local availability and pricing.
Yes. We can filter the extraction to target only the Marks & Spencer integrated catalogue, or include brand flags in a full-site extraction to isolate M&S products downstream.
For FMCG monitoring, we typically run daily extractions. We can configure pipelines to run overnight, delivering fresh pricing and promotional data before the start of the business day.
Yes. We map the HTML table structures into strict JSON schemas, normalising values for energy, fat, saturates, sugars, and salt per 100g and per serving.
We operate managed pipelines starting at defined category scopes or specific brand lists. Contact us with your target SKUs or categories for a precise quote.
Yes. We provide sample exports of up to 500 SKUs during the scoping phase, allowing your engineering team to validate the schema and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need daily FMCG price tracking or a complete nutritional database extraction, we build and operate the infrastructure. Tell us your requirements.
