Grocery Scraping API to Extract Data From Every Supermarket & Quick-Commerce App

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.

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40+grocery platforms covered
300M+SKU records tracked monthly*
99.2%field-level accuracy*
Live extraction feed
sample preview
Menu item
Platform
Status
Price
syncing…

*Illustrative figures — final numbers are scoped to your project during onboarding. Average client rating 4.7 / 5 across Clutch, GoodFirms and Trustpilot.

Grocery page or app

Product, aisle, category, store, or search URL

Extraction engine

Rendering, proxies, pincode simulation, CAPTCHA handling

Normalization

Schema validation, currency, pack-size and unit-price mapping

Your systems

API, warehouse, or webhook

What a grocery scraping API actually does

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.

Built for teams that watch the grocery market for a living

Core capabilities

Product page extraction

Pull a single grocery item's full detail set — title, price, unit price, pack size, images, nutrition, variants — from a direct URL.

Category, aisle & search crawling

Feed in an aisle link, category page, or search term and receive every listed product, paginated automatically.

Store & pincode-level extraction

Set a store ID, postcode, or pincode and capture location-specific price, stock, and delivery availability for the same SKU.

Promotion & offer tracking

Capture multi-buy deals, coupons, loyalty pricing, and bundle offers with start and end dates where exposed.

Bulk & scheduled jobs

Submit thousands of URLs or pincodes at once, or set a recurring interval so your dataset refreshes on its own.

Historical price tracking

Snapshot grocery prices over time to build inflation and promotion trend lines, not just point-in-time reads.

The full data-field set

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

What the data looks like across grocery formats

Three records from three different grocery formats — a quick-commerce app, a US grocery delivery platform, and a UK supermarket. Values are illustrative.

blinkit.com
RDA-GR-0004432

Whole Wheat Flour, 5kg Pack

₹239 ₹265
Unit price₹47.80 / kg
Rating4.4 (2,105)
StockIn stock
StoreDark store, Ahmedabad 380015
Delivery12 mins
Offer10% off
instacart.com
RDA-GR-0011907

Organic Bananas, 2 lb

$1.98
Unit price$0.99 / lb
Rating4.6 (1,318)
StockIn stock
StoreLocal partner store
DeliverySame-day, 2-hour slot
OfferNo offer
tesco.com
RDA-GR-0021550

Semi-Skimmed Milk, 4 Pint

£1.35 £1.55
Unit price£0.34 / pint
Rating4.5 (842)
StockLow stock
StoreSuperstore, Manchester
DeliveryNext-day
OfferClubcard
{
    "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"
}

Call it from wherever you build

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.

How it works

01

Submit a request

A product URL, keyword, aisle, or store/pincode — via API call or bulk upload.

02

We fetch the page

Rotating residential and datacenter IPs, headless rendering, location simulation and CAPTCHA handling run behind the scenes.

03

Raw HTML is parsed

Content is mapped into the structured field set relevant to that retailer's layout, including store-level price and stock.

04

Data is validated and normalized

Currencies, pack sizes, and unit prices are standardized so a 500g pack and a 1kg pack compare cleanly.

05

Output is delivered

As JSON or CSV, or pushed to your webhook, cloud storage, or database.

Extract country-wise grocery data

IN

India

Delivery formats & where the data lands

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.

What teams build with it

Pricing

Competitive price benchmarking

Compare your shelf and basket prices against competing grocers, city by city and store by store.

Compliance

Shelf-price & promotion compliance

Detect retailers pricing your SKUs outside agreed bands or running unapproved promotions.

Monitoring

Out-of-stock monitoring

Track availability of key SKUs across pincodes and dark stores, and flag gaps before they cost sales.

Assortment

Assortment & share-of-shelf analysis

See which brands, pack sizes, and private-label lines competitors stock, and where new launches appear first.

Inflation

Grocery inflation tracking

Build a custom basket index from unit-price history to measure category-level inflation over time.

Expansion

Market-entry research

Understand price bands, delivery speed, fees, and assortment depth in a city before launching there.

Building this in-house vs. using our API

In-house scraping team
Real Data API
Time to first dataset
Weeks to months
Days
Proxy, CAPTCHA & location handling
Built and maintained by you
Included
Upkeep when a site or app changes
Ongoing engineering time
Handled for you
Scaling to new retailers or cities
New build per site
Add to existing pipeline
Core engineering focus
Split with scraping upkeep
Stays on your product

Plans that scale with your coverage

Exact pricing depends on platforms, cities, and refresh frequency — these tiers describe how engagements are typically structured.

Starter

Self-serve API

  • Single-retailer access
  • Standard field set
  • Daily or weekly refresh
  • Email support
Talk to sales
Growth

Multi-retailer feed

  • Multiple retailers, cities & pincodes
  • Custom fields on request
  • Hourly or real-time refresh
  • Webhook & cloud delivery
  • Priority support
Start a pilot
Enterprise

Full-scale deployment

  • Tens of millions of SKU-location records
  • Dedicated pipeline & support
  • Custom SLA & contract terms
  • Direct database integration
Request a quote

Accuracy, scale, and how we handle data responsibly

Support & service commitments

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.

Getting started

01

Tell us what you need

The retailers, cities or pincodes, and data fields that matter for your business.

02

We scope a pilot

Typically a sample dataset from 2–3 target retailers within 2–5 business days.

03

Review the sample

Adjust fields, locations, or frequency until the data matches what you need.

04

Move to production

Your feed goes live on the delivery method and schedule you choose.

Country-wise coverage

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.

Category pricing lead , regional supermarket chain

Illustrative placeholder — swap in a verified client quote before publishing.

Questions, answered

Do I need coding experience to use this API?

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.

Can you capture store-level or pincode-level prices?

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.

Can you scrape a grocery retailer or app that isn't on your list?

In most cases, yes. New retailer integrations are scoped case by case depending on site complexity.

Do you capture unit prices and promotions?

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.

Is historical price data available, or only current prices?

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.

What happens if a retailer changes its site or app layout?

Our monitoring flags layout changes and our team updates the extraction logic — typically without any action needed on your end.

How is pricing structured?

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.

Are there rate limits on the API?

Yes, limits scale with your plan tier. Enterprise plans can be configured for sustained high-volume throughput.

Contact Us

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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.

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