We extract product listings, Clubcard pricing, nutritional macros, and category hierarchies from Tesco. 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 Product Listings objects from tesco.com. All fields typed and schema-versioned.
"sku": "254656543", "title": "Tesco Finest Tomato and Basil Soup 600G", "brand": "Tesco Finest", "price": 2.75, "clubcard_price": 2.25, "unit_price": "0.46/100g", "weight": "600g", "in_stock": true, "average_rating": 4.6
| # | sku | title | brand | category | sub_category | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Nutritional Info objects from tesco.com. All fields typed and schema-versioned.
"sku": "254656543", "energy_kcal_100g": 45, "fat_100g": 1.2, "saturates_100g": 0.3, "carbohydrate_100g": 6.5, "sugars_100g": 4.2, "protein_100g": 1.1, "salt_100g": 0.55
| # | sku | energy_kcal_100g | energy_kj_100g | fat_100g | saturates_100g | carbohydrate_100g |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Offers and Pricing objects from tesco.com. All fields typed and schema-versioned.
"sku": "254656543", "standard_price": 2.75, "clubcard_price": 2.25, "promotion_type": "CLUBCARD_PRICE", "promotion_description": "Clubcard Price: 50p off", "promotion_valid_until": "2026-06-15T23:59:59Z", "price_per_unit": "0.46/100g", "currency": "GBP"
| # | sku | standard_price | clubcard_price | promotion_type | promotion_description | promotion_valid_until |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Dietary and Lifestyle objects from tesco.com. All fields typed and schema-versioned.
"sku": "254656543", "is_vegan": true, "is_vegetarian": true, "is_gluten_free": true, "is_halal": false, "is_organic": false, "lifestyle_tags": "['Suitable for Vegans', 'Gluten Free']", "storage_instructions": "Keep refrigerated. Once opened consume within 2 days."
| # | sku | is_vegan | is_vegetarian | is_gluten_free | is_halal | is_kosher |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from tesco.com. All fields typed and schema-versioned.
"keyword": "tomato soup", "position": 3, "sku": "254656543", "sponsored": false, "price": 2.75, "clubcard_price": 2.25, "in_stock": true, "scraped_at": "2026-05-12T10:15:22Z"
| # | keyword | position | sku | title | price | clubcard_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Tesco scraper handles the complexities of modern grocery platforms: dynamic React frontends, postal code session management, complex promotional mechanics, and deeply nested nutritional data.
Extract every product across all categories, aisles, and shelves. Capture titles, brands, weights, and high-resolution image URLs.
Capture both standard and Clubcard prices, alongside unit pricing metrics (e.g. price per 100g) to normalise comparisons.
Extract structured nutritional tables including calories, fats, sugars, and protein, mapped to per 100g and per serving metrics.
Parse ingredient lists to highlight allergens and capture explicit dietary tags like Vegan, Gluten-Free, and Organic.
Simulate user sessions for specific UK postal codes to track regional stock availability and localised pricing differences.
Extract multi-buy logic (e.g. Any 3 for 5 pounds), valid-until dates, and seasonal promotional banners attached to SKUs.
Monitor organic versus sponsored placements for key FMCG search terms to evaluate brand visibility.
Track out-of-stock indicators and low-stock warnings to forecast supply chain issues and competitor availability.
Run pipelines daily or weekly, emitting only the records that changed since the last extraction to optimise downstream processing.
Brief in. Clean data out.
Provide target categories, search terms, or specific SKUs. We map the extraction schema to your business requirements.
We configure Playwright crawlers, proxy rotation, postcode session management, and rate-limit handling for tesco.com.
Schema validation, null-rate checks, price anomaly detection, and sample nutritional tables before full production launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on your defined schedule.
Tesco employs modern web frameworks and stringent bot mitigation. Here is how we maintain reliable extraction pipelines.
Tesco relies heavily on client-side rendering. We run full Playwright browser sessions with JavaScript execution to hydrate product grids, nutritional modals, and dynamic pricing widgets that headless HTTP clients miss entirely.
Grocery availability and pricing depend on the delivery location. We inject and maintain specific UK postal codes into the browser session state, ensuring the data reflects exactly what a local customer sees.
Grocery promotions are notoriously complex. We parse unstructured text like 'Buy 2 for 4.00' into structured JSON fields, separating the mechanics, the absolute discount, and the validity dates for immediate analysis.
To prevent IP bans and rate limiting, our crawlers use residential ISP proxies located within the UK. We rotate IPs per request while maintaining sticky sessions where required for postcode consistency.
We utilise multiple fallback chains per field, including CSS selectors, XPath, and Next.js internal state extraction, ensuring a frontend layout change does not break your data pipeline.
Consumer packaged goods brands monitor competitor pricing, promotional frequency, and product positioning across the entire Tesco catalogue.
Economic analysts and retail researchers track basket prices over time to measure grocery inflation and evaluate the impact of Clubcard discounts.
Health and diet platforms ingest macro and allergen data to power barcode scanning apps and dietary recommendation engines.
Strategy teams analyse category shelf space, brand dominance, and search result positioning to estimate market penetration.
Procurement teams monitor out-of-stock signals across specific postcodes to identify regional supply chain constraints.
Challenger grocery brands and rapid delivery startups ingest Tesco pricing to automate their own repricing algorithms.
"Tesco holds the definitive dataset for UK grocery pricing and nutritional indexing, but extracting it requires parsing complex promotional logic and dynamic frontend frameworks."
Most teams underestimate the investment required: reliable Tesco scraping requires residential proxies, full JavaScript rendering, postal code session management, daily selector maintenance, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our tesco.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 orchestrates the crawl and manages deduplication. Playwright handles the React frontend, rendering the DOM and executing JavaScript to expose the underlying data.
We utilise dedicated UK residential proxy pools to ensure consistent routing, preventing location-based redirects and mitigating IP reputation blocks.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting, with all state safely stored in managed PostgreSQL.
Data delivered to where your team already works — no new tooling required.
About tesco.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available pricing, nutritional, and product data is generally permissible under UK law. DataFlirt targets only public, non-authenticated information. We do not extract personal user data or circumvent authentication walls. Clients should review Tesco terms of service and consult legal counsel for their specific use cases.
Our extraction logic specifically targets the DOM elements associated with Clubcard promotional badges. We output both the standard price and the Clubcard price as distinct fields in the final schema, allowing you to calculate the absolute and percentage discount.
Yes. We can inject target postcodes into the session state before extraction begins. This is critical for capturing accurate regional stock availability and localised pricing variations.
We typically run full catalogue refreshes on a weekly basis, with high-priority categories or specific SKUs tracked daily or sub-daily to monitor rapid price fluctuations and stock changes.
We extract both formats if they are present on the product page. Our schema maps the raw nutritional tables into standard JSON objects, capturing energy, fat, carbohydrates, protein, and salt.
Our pipelines use multi-layer fallback chains for DOM selectors. If a layout change breaks the primary selector, the pipeline automatically attempts secondary methods, including extracting internal Next.js state data. We monitor null rates continuously to fix schema drift before it impacts your delivery.
Yes. We provide a sample run of up to 500 SKUs or specific categories during the scoping phase. This allows your engineering team to validate the schema fit, field completeness, and overall data quality before committing.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off nutritional database export or a continuous price-monitoring feed across the UK grocery sector, we scope, build, and operate the pipeline. Tell us your requirements.
