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Extract structured grocery data from 40+ supermarkets, online grocers, and quick-commerce platforms through a single API. Collect prices, unit prices, stock, promotions, delivery slots, and store-level assortment in a format ready for your applications, analytics, and databases.
*Illustrative figures — final numbers are scoped to your project during onboarding. Average client rating 4.7 / 5 across Clutch, GoodFirms and Trustpilot.
Product, aisle, category, store, or search URL
Rendering, proxies, pincode simulation, CAPTCHA handling
Schema validation, currency, pack-size and unit-price mapping
API, warehouse, or webhook
Instead of manually opening grocery sites and apps across dozens of retailers and delivery zones, you send a request — a product URL, a keyword, an aisle or category page, or a store and pincode — and get back clean, structured data containing everything that listing holds: price, unit price, pack size, stock status, promotions, delivery slot and more.
The scraping infrastructure, proxy rotation, location simulation, browser rendering and HTML parsing all happen behind the API; you just call an endpoint and receive data.
Pull a single grocery item's full detail set — title, price, unit price, pack size, images, nutrition, variants — from a direct URL.
Feed in an aisle link, category page, or search term and receive every listed product, paginated automatically.
Set a store ID, postcode, or pincode and capture location-specific price, stock, and delivery availability for the same SKU.
Capture multi-buy deals, coupons, loyalty pricing, and bundle offers with start and end dates where exposed.
Submit thousands of URLs or pincodes at once, or set a recurring interval so your dataset refreshes on its own.
Snapshot grocery prices over time to build inflation and promotion trend lines, not just point-in-time reads.
Field availability varies slightly by retailer. Anything outside this standard set — Q&A threads, recipe links, sustainability labels, loyalty pricing tiers — can be added as a custom field.
| Category | Fields |
|---|---|
| Product identity | Product name, product URL, product ID / SKU, GTIN / UPC / EAN, brand, private-label flag |
| Pricing | List price (MRP), sale price, discount %, currency, unit price (per kg / litre / 100g / each), price-history snapshot, tax/VAT indicator, bundle pricing |
| Promotions | Offer type (multi-buy, coupon, loyalty), offer text, promo start/end date, member-only price, minimum purchase quantity |
| Availability | Stock status, quantity available (where exposed), max purchase limit, restock date, substitution options |
| Store & location | Store name, store / dark-store ID, postcode / pincode, city, delivery zone, fulfilment type (delivery, pickup, in-store) |
| Delivery | Delivery slot, ETA (minutes / next-day), delivery fee, minimum order value, handling / packaging fee |
| Descriptive content | Short description, full description, pack size / net weight, category, aisle, subcategory, breadcrumb path |
| Freshness & attributes | Fresh vs packaged, shelf life / best-before, storage instructions, country of origin, organic / vegan / gluten-free labels |
| Nutrition & compliance | Nutrition facts, ingredients, allergen information, dietary tags |
| Media | Primary image URL, gallery image URLs, video links |
| Ratings & reviews | Average rating, total review count, review text, review date, verified-purchase flag |
| Merchandising signals | Badge labels (best seller, sponsored, new), rank in aisle, cross-sell / related products |
Three records from three different grocery formats — a quick-commerce app, a US grocery delivery platform, and a UK supermarket. Values are illustrative.
{
"product_id": "RDA-GR-0004432",
"product_name": "Whole Wheat Flour, 5kg Pack",
"brand": "Sample Brand",
"category": "Staples > Atta & Flours > Whole Wheat Flour",
"pack_size": { "value": 5, "unit": "kg" },
"price": {
"currency": "INR",
"list_price": 265.00,
"sale_price": 239.00,
"unit_price": 47.80,
"unit_price_basis": "per kg"
},
"promotion": { "type": "discount", "label": "10% off" },
"availability": { "status": "In Stock", "max_purchase_limit": 5 },
"location": { "store_id": "DS-AHM-0142", "pincode": "380015", "city": "Ahmedabad" },
"delivery": { "eta_minutes": 12, "fee": 0 },
"ratings": { "average_rating": 4.4, "total_reviews": 2105 },
"scraped_at": "2026-09-21T06:42:11Z"
}A single request returns a structured record. Below is the same call in three languages, with a pincode so the price and stock match a real delivery area.
# Fetch a single grocery product record for a specific pincode
curl -X POST https://api.realdataapi.com/v1/grocery/product \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"url": "https://www.example-grocer.com/p/EXAMPLE", "pincode": "380015"}'import requests
resp = requests.post(
"https://api.realdataapi.com/v1/grocery/product",
headers={"Authorization": "Bearer YOUR_API_KEY"},
json={"url": "https://www.example-grocer.com/p/EXAMPLE", "pincode": "380015"}
)
data = resp.json()
print(data["price"]["sale_price"], data["price"]["unit_price"])const res = await fetch("https://api.realdataapi.com/v1/grocery/product", {
method: "POST",
headers: {
"Authorization": "Bearer YOUR_API_KEY",
"Content-Type": "application/json"
},
body: JSON.stringify({
url: "https://www.example-grocer.com/p/EXAMPLE",
pincode: "380015"
})
});
const data = await res.json();Endpoint, parameters and key format above are illustrative — your onboarding call includes real credentials and the current endpoint reference.
A product URL, keyword, aisle, or store/pincode — via API call or bulk upload.
Rotating residential and datacenter IPs, headless rendering, location simulation and CAPTCHA handling run behind the scenes.
Content is mapped into the structured field set relevant to that retailer's layout, including store-level price and stock.
Currencies, pack sizes, and unit prices are standardized so a 500g pack and a 1kg pack compare cleanly.
As JSON or CSV, or pushed to your webhook, cloud storage, or database.
| Format | Best for |
|---|---|
| REST API (JSON) | Live, on-demand lookups embedded in your application |
| CSV / Excel export | Analysts and category teams working in spreadsheets |
| Webhook push | Event-driven pipelines reacting to price, promotion, or stock changes |
| Cloud storage drop (S3, GCS, Azure Blob) | Scheduled bulk feeds into a data warehouse |
| Direct database load | Data landing straight into PostgreSQL, MySQL, or Snowflake |
Commonly connected downstream to: Google Sheets, BigQuery, Snowflake, Power BI, and Zapier-style automation tools.
Compare your shelf and basket prices against competing grocers, city by city and store by store.
Detect retailers pricing your SKUs outside agreed bands or running unapproved promotions.
Track availability of key SKUs across pincodes and dark stores, and flag gaps before they cost sales.
See which brands, pack sizes, and private-label lines competitors stock, and where new launches appear first.
Build a custom basket index from unit-price history to measure category-level inflation over time.
Understand price bands, delivery speed, fees, and assortment depth in a city before launching there.
Pricing depends on retailers, cities, and refresh frequency. Pick the route that fits your coverage, and we'll scope the details with you.
Start analysing shelf prices today, with no collection to set up.
Build live shelf prices and stock into your own tools.
For large retailer coverage and requirements that need scoping.
Preview data shown is illustrative. Final scope is agreed during onboarding.
Uptime targets, response times, and escalation paths are defined per contract and scale with plan tier — Growth and Enterprise engagements include priority support and a named point of contact. All plans include monitoring for extraction failures, so a broken feed gets flagged before it affects your downstream systems.
The retailers, cities or pincodes, and data fields that matter for your business.
Typically a sample dataset from 2–3 target retailers within 2–5 business days.
Adjust fields, locations, or frequency until the data matches what you need.
Your feed goes live on the delivery method and schedule you choose.
We maintain dedicated scraping coverage across major regional grocers and quick-commerce platforms — Blinkit, BigBasket and Zepto in India, Instacart and FreshDirect in the US, Tesco and Ocado in the UK, Carrefour and Lulu in the UAE, and more. Visit our country-specific grocery data pages for the full retailer list in your target market.
We stopped checking competitor shelf prices by hand once this feed went live — the pricing team now reviews exceptions by city instead of collecting data.
Illustrative placeholder — swap in a verified client quote before publishing.
Basic API integration knowledge helps, but our team can also deliver data as ready-made CSV or Excel files if you'd rather skip direct API calls.
Yes. You can specify a store ID, postcode, or pincode per request, and each record is tagged with the location it came from. This matters because the same SKU can be priced and stocked differently across stores and delivery zones.
In most cases, yes. New retailer integrations are scoped case by case depending on site complexity.
Yes. Unit price (per kg, litre, or each), multi-buy offers, coupons, and loyalty pricing are captured where the retailer exposes them, and pack sizes are normalized for comparison.
Both. You can request point-in-time snapshots going forward, and in many cases we can build a historical price-trend feed once tracking begins.
Our monitoring flags layout changes and our team updates the extraction logic — typically without any action needed on your end.
Pricing depends on the number of retailers, locations, fields, and refresh frequency you need. Most engagements start with a scoped pilot so you can see real output before agreeing on a plan.
Yes, limits scale with your plan tier. Enterprise plans can be configured for sustained high-volume throughput.
60 Paya Lebar Rd, #11-22 Paya Lebar Square, PMB 1010, Singapore 409051
+91 8866656657
sales@realdataapi.com
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Rating 4.7
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Rating 4.5
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Rating 4.7
Disclaimer : RealData API functions solely as an independent data infrastructure and technology solutions provider. We build customized automation workflows designed to collect publicly accessible web data based exclusively on client instructions. RealData API neither owns proprietary datasets nor engages in the sale or redistribution of extracted information. Our operations are limited strictly to lawful public web data processing and never involve unauthorized access to restricted systems or private networks. Any company names, trademarks, logos, or brand references displayed on this website are used purely for demonstrative and illustrative purposes to showcase our technical capabilities and do not imply endorsement, partnership, or affiliation. Use of our platform and services remains subject to our Terms of Service.
