BigBasket Grocery Scraper: Prices & Stock

Scrape public BigBasket grocery listings with normalized pack quantities, comparable unit prices, source-context provenance, and optional price and stock monitoring. Export product rows from the Apify Dataset in JSON, CSV, Excel, XML, HTML, RSS, or JSONL. Tracking retains a bounded observation history and exposes thresholded alerts for downstream workflows.

It collects public product details such as title, brand, pack size, price, MRP, discount percentage, rating, rating count, stock status, category, image URL, product URL, and scrape timestamp. It does not require a BigBasket login or API key, and it does not collect private customer, account, seller, or contact data.

The default run is intentionally small: one in-stock milk result with one result page and Apify Residential proxy in India.

What you get

• Search query or category URL source
• Product position in the listing response
• BigBasket product ID
• Product title, brand, and pack size
• Normalized pack quantity and unit price when the pack label is explicit
• Current price, MRP, discount percentage, and currency
• Category name when visible in the listing payload
• Rating and rating count when available
• Stock status
• Optional previous price, price change, price-change percentage, and stock-change fields
• All observed changes in changeTypes, with changeType retained for compatibility
• Change labels: new, unchanged, baseline_reset, price_drop, price_increase, back_in_stock, or out_of_stock
• Source-reported pincode/city and the product's service-area and fulfillment-center IDs
• Optional bounded priceHistory, alertTriggered, and alertReasons
• A machine-readable MONITORING-SUMMARY JSON record and saved-row alerts
• Product URL and image URL
• Timestamp for each saved row

See real sample results

Before running the Actor, inspect this 25-product JSON sample. It contains actual public product rows from an owner-run milk search on 30 September 2026, using build 1.0.23. The run saved 25 rows in about 20 seconds, and all 25 explicit pack labels normalized. This is a dated test snapshot, not current prices, customer usage, or a complete market catalog.

The first three rows were observed at 10:33 IST:

Product	Original pack	Normalized pack	Price (INR)	Unit price (INR / 1 L)	Observed stock
Heritage Daily Health Toned Milk	500 ml	1 x 500 ml	33	66	In stock
Amul Gold Full Cream Milk	500 ml	1 x 500 ml	32	64	In stock
Nandini Samrudhi Milk	500 ml	1 x 500 ml	28	56	In stock

These are different milk products, not matched substitutes. The same unit-price basis makes pack quantities easier to inspect without claiming the products are equivalent. All 25 rows initialized tracking baselines (changeType: "new", historyCount: 1); this batch detected no price/stock changes and triggered no alerts. A separate one-product repeat test retained two observations and reported no change—it was not a repeat of the entire 25-row batch.

The sample preserves the reported anonymous source context, including pincode 560004, service area 19224, fulfillment center 1820, and sourceAddressIsPartial: true. deliveryLocationVerified remains false: these fields do not select a delivery postcode or establish fulfillment eligibility. The expected-pincode guard was not enabled in this batch. The public download omits the owner's internal trackingRegion label; it contains no run input, cookies, headers, private tracking-store records, or customer data.

Common uses

1. Monitor grocery and FMCG prices, MRP, discounts, and availability.
2. Compare pack sizes and brand pricing across grocery keywords.
3. Build small category snapshots for reports or dashboards.
4. Track assortment changes for key BigBasket category pages.
5. Enrich internal catalog rows with public marketplace listing metadata.

Ready-to-run workflows

Use these public task pages when you want a prepared input instead of configuring a run from scratch:

• Monitor BigBasket prices and stock
• Collect BigBasket prices, MRP and discounts
• Export a BigBasket category catalog

For the complete scheduled-run, Google Sheets, and webhook setup, see the BIGBASKET-PRICE-WATCH-KIT.md. A short recording outline is available in the VIDEO-DEMO-SCRIPT.md.

Quick start

Use this input for a low-cost first run:

{
  "keywords": ["milk"],
  "categoryUrls": [],
  "brands": [],
  "inStockOnly": true,
  "maxResults": 1,
  "maxPagesPerSource": 1,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "IN"
  }
}

After the run finishes, open the dataset and export the Products view.

Schedule Price And Stock Monitoring

Use an Apify Task and Schedule when you need recurring BigBasket price or availability snapshots. Start with a daily schedule; use a higher frequency only when the business need justifies the additional requests and cost.

This example tracks up to five Amul milk listings. The named key-value store retains a baseline and up to 20 observations per comparable product context:

{
  "keywords": ["milk"],
  "categoryUrls": [],
  "brands": ["Amul"],
  "inStockOnly": false,
  "maxResults": 5,
  "maxPagesPerSource": 1,
  "trackChanges": true,
  "trackingStoreName": "bigbasket-milk-watch",
  "trackingRegion": "milk-watch",
  "historyLimit": 20,
  "includeHistory": false,
  "priceChangeThresholdPercent": 5,
  "priceChangeThresholdAbsolute": 2,
  "alertOnStockChanges": true,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "IN"
  }
}

1. Run the input once and confirm the returned products are relevant.
2. Select Save as a new task on the Actor page.
3. Open Schedules, create a daily schedule, and select the saved task.
4. The first run marks each product as new and establishes the baseline.
5. Later comparable runs populate previousPrice, priceChange, priceChangePercent, previousInStock, stockChanged, and changeTypes.
6. Filter alertTriggered: true, or consume the saved-row alert output in a webhook/API workflow. changeDetected also includes changes below your alert thresholds.

The tracking store keeps the latest snapshot plus a bounded history, defaulting to 20 and configurable from 1 to 90 observations. Export each successful run for a complete time series. History keys include the observed source context and trackingRegion; that label does not set a location. A new source or pack context creates a baseline without an alert, and old product-only history is not migrated into the scoped keys. Missing header linkage or product service-area/fulfillment-center IDs suppresses comparison. The Actor does not match products across stores or send outbound messages.

Price alerts require both configured thresholds: the absolute INR change and the absolute percentage change must meet their respective minimums. Zero disables a threshold. Observed stock changes can trigger independently when alertOnStockChanges is enabled. The first observation and baseline resets do not alert. Use inStockOnly: false for stock monitoring; a missing listing row is never inferred to be out of stock. Keep one schedule per store/context and prevent overlapping runs: concurrent snapshot writers are not supported.

For cost control, begin with one keyword, one page, five or fewer results, and a daily schedule. Avoid duplicate schedules and aggressive polling.

Need Cross-Store Price Comparison?

This Actor is designed for BigBasket-only catalog and price snapshots. The India E-commerce Price Tracker currently supports Flipkart, Myntra, BigBasket, and Meesho. Blinkit, JioMart, and AliExpress adapters are parked and are not supported comparison sources.

For reliable comparison, use the same city or delivery area across sources and keep product-match confidence visible when titles or variants differ.

Input

Field	Type	Default	Description
keywords	array	["milk"]	One to five grocery search terms. Leave empty only when using category URLs.
categoryUrls	array	[]	Optional BigBasket listing URLs under /pc/, /pb/, or /cl/. Invalid category URLs are skipped when other sources are valid.
brands	array	[]	Optional exact brand filters. Matching is case-insensitive.
inStockOnly	boolean	true	Save only products that BigBasket marks available for sale.
maxResults	integer	1	Maximum unique products saved across the run. Range: 1-1000.
maxPagesPerSource	integer	1	Maximum pages requested for each keyword or category URL. Range: 1-25.
trackChanges	boolean	false	Compare each result with the previous product state stored across runs.
trackingStoreName	string	bigbasket-price-history	Named persistent store used for tracking. Use one name per delivery region/workflow.
trackingRegion	string	unspecified	Stable monitoring label, 1-63 letters, numbers, _ or -; normalized to lowercase. Isolates history without selecting location.
expectedPincode	string	unset	Optional six-digit guard against the source-reported anonymous pincode. Fails when missing or mismatched; does not select location.
historyLimit	integer	20	Retain the latest 1-90 comparable saved observations per product.
includeHistory	boolean	false	Include priceHistory in tracked dataset rows; snapshots retain history regardless.
priceChangeThresholdPercent	number	0	Minimum absolute percentage price change for an alert, 0-1000.
priceChangeThresholdAbsolute	number	0	Minimum absolute INR price change for an alert, 0-1000000.
alertOnStockChanges	boolean	true	Alert on an observed available/unavailable transition.
proxyConfiguration	object	Residential India	Request proxy settings. An India proxy does not select or verify a delivery area.

Source context and pincode guard

sourcePincode, sourceCity, sourceCityId, and sourceAddressIsPartial describe BigBasket's matched, source-assigned anonymous storefront context. sourceServiceAreaId and sourceFulfillmentCenterId come from each product's listing payload. locationContextStatus is source_assigned when the product can be linked to the header, product_context_only when only product context is available, or unavailable. The Actor discards address IDs, address text, contacts, and coordinates.

deliveryLocationVerified is always false. Anonymous defaults can be partial, and the active product service area can differ from the service area associated with the request's entry context. expectedPincode checks the reported source pincode and fails closed when it is missing or different. It does not select a delivery pincode, verify physical delivery location, or establish fulfillment eligibility. The public anonymous location selector currently opens an OTP sign-in dialog; explicit delivery-location selection remains unsupported.

For example, after inspecting a run's reported context, add "expectedPincode": "560004" only if that is the source pincode your workflow expects. Neither trackingRegion nor proxy country is evidence that a location was selected.

Pack normalization

Explicit labels such as 500 ml, 1 kg, 2 x 500 g, 500 ml - Pack of 2, and 6 pcs produce normalizedPackSize, packIdentity, packCount, totalQuantity, and quantityUnit. Unit prices use INR per 100 g, 1 L, or 1 piece. For example, a 500 ml pack priced at INR 32 has unitPrice: 64 and unitPriceBasis: "1 L".

Ambiguous labels, approximate ranges, and labels containing non-quantity details remain packNormalizationStatus: "unrecognized" with null normalized quantities and unit prices. The original packSize is preserved. Quantities are never guessed from product titles or a displayed base price, and pack changes reset the monitoring baseline.

Output

The following is a synthetic schema illustration, not the verified owner-run sample above. Its price drop is an example of the field structure, not an observed event from that test:

{
  "source": "bigbasket",
  "searchQuery": "milk",
  "position": 1,
  "productId": "40147597",
  "title": "Daily Health Toned Milk",
  "brand": "Heritage",
  "price": 32,
  "mrp": null,
  "discountPercent": null,
  "currency": "INR",
  "packSize": "500 ml",
  "normalizedPackSize": "1 x 500 ml",
  "packIdentity": "1x500ml",
  "packNormalizationStatus": "parsed",
  "packCount": 1,
  "totalQuantity": 500,
  "quantityUnit": "ml",
  "unitPrice": 64,
  "unitPriceBasis": "1 L",
  "sourcePincode": "560004",
  "sourceCity": "Bangalore",
  "sourceCityId": 1,
  "sourceAddressIsPartial": true,
  "sourceServiceAreaId": 19224,
  "sourceFulfillmentCenterId": 1820,
  "locationContextStatus": "source_assigned",
  "deliveryLocationVerified": false,
  "category": "Bakery, Cakes & Dairy",
  "rating": 3.7,
  "ratingCount": 18036,
  "inStock": true,
  "trackingEnabled": true,
  "changeDetected": true,
  "changeType": "price_drop",
  "changeTypes": ["price_drop"],
  "alertTriggered": true,
  "alertReasons": ["price_drop"],
  "comparisonSkippedReason": null,
  "historyCount": 2,
  "trackingRegion": "milk-watch",
  "previousPrice": 35,
  "priceChange": -3,
  "priceChangePercent": -8.57,
  "previousInStock": true,
  "stockChanged": false,
  "firstSeenAt": "2026-06-29T10:00:00.000Z",
  "previousScrapedAt": "2026-06-29T10:00:00.000Z",
  "productUrl": "https://www.bigbasket.com/pd/40147597/heritage-daily-health-toned-milk-500-ml-pouch/",
  "imageUrl": "https://www.bbassets.com/media/uploads/p/l/40147597_9-heritage-daily-health-toned-milk.jpg",
  "scrapedAt": "2026-06-30T10:00:00.000Z"
}

This is an illustrative observation, not a price or delivery promise. Optional fields may be null or N/A when BigBasket does not expose them. Tracking fields appear only with trackChanges: true; priceHistory additionally requires includeHistory: true. The run's default key-value store exposes MONITORING-SUMMARY JSON and an ALERTS JSON array. Alert copies omit history and are generated only for product rows successfully saved through the charged dataset operation, not for unpaid candidates.

The summary includes saved/tracked counts, new baselines, baseline resets, observed changes, price/stock-change counts, alert counts, unverified-context counts, and snapshot-persistence failures. collectionStatus distinguishes running, interrupted, bounded_window, partial, budget_limited, and location_guard_failed; even bounded_window describes a limited listing sample, not a complete market snapshot. The summary explicitly reports locationSelectionSupported: false and deliveryLocationVerified: false.

With tracking enabled, each completed page checkpoints ALERTS and then MONITORING-SUMMARY with collectionStatus: "running" before advancing that page's saved-row baselines. Unexpected errors attempt an interrupted checkpoint; pincode-guard failures use location_guard_failed. A failed artifact checkpoint leaves its pending baseline writes uncommitted. Hard termination can occur between these steps: the Dataset remains the recovery source, and an uncommitted baseline can cause an alert to repeat on the next run. These writes are not an exactly-once transaction across storages. Deduplicate downstream alerts by product, source context, and observation timestamp.

Pricing

The repository's bundled configuration currently uses Apify Pay Per Event pricing:

Event	Price
product-scraped	$0.002 per saved product row
apify-actor-start	$0.00005 per GB when the Actor starts

Products are charged only when a clean product record is saved to the dataset. The Actor uses atomic dataset charging, so the run stops before saving unpaid records after the user's maximum charge is reached.

Pack normalization, context metadata, history, and alert fields are bundled into the existing saved-product event; there is no separate history or alert event in this configuration. Check the Actor's live pricing page before running, because published pricing may differ from a local checkout.

Platform usage, such as compute and proxy traffic, may also be charged by Apify depending on the run configuration. Residential India proxy is recommended for BigBasket reliability and regional pricing, but it can increase platform usage cost.

Cost control

• Start with one keyword and maxResults: 1.
• Keep maxPagesPerSource: 1 for the first test.
• Keep inStockOnly enabled for small catalog tests; disable it when monitoring stock transitions.
• Add more keywords, brands, or category pages only after checking the output.
• Use the run's maximum cost setting if you want a strict spending cap.

Reliability

BigBasket prices and availability vary by region and can change frequently. The Actor includes:

• Anonymous storefront cookie initialization before listing API requests
• India residential proxy defaults
• Retries for transient request failures
• Deduplication by product ID, URL, or title
• Invalid category URL skipping when at least one valid source remains
• A failure guard when all source requests fail
• Field-level fallbacks when optional listing data is unavailable
• Persistent snapshots and bounded history scoped to the observed source context and monitoring label
• Pack/context baseline resets and suppression of unlinked or stale comparisons
• Thresholded machine-readable alerts and a run summary for scheduled workflows

Limits

• This Actor reads public listing data, not private account or order data.
• Some product cards do not expose ratings, discounts, stock flags, images, or MRP.
• Missing or unknown availability is inStock: null; only an explicit source unavailable signal is recorded as false.
• Brand and category values come from BigBasket's listing payload and may need downstream cleaning for strict catalog workflows.
• Built-in history retains a bounded sample of saved rows, not every market observation or an exhaustive assortment.
• A missing product, truncated result page, filter, failed source, or spending limit does not establish that a product is out of stock.
• Explicit pincode selection and verified fulfillment are unsupported; use source-context provenance and the optional expected-pincode guard.
• Keep one schedule per tracking store/context and prevent overlapping runs; concurrent writers are not supported.
• Page checkpoints reduce lost monitoring output, but abrupt termination can leave artifacts incomplete and alerts may repeat. Recover saved observations from the Dataset.
• This Actor is not an official BigBasket API and is not affiliated with BigBasket.

Responsible use

Use this Actor for lawful research, price monitoring, and analysis of publicly available information. You are responsible for complying with BigBasket's terms, robots.txt, privacy laws, India's DPDP Act where applicable, and all local regulations.

Do not use this Actor to collect, infer, sell, or misuse personal data. The Actor author is not responsible for misuse by end users.

Feedback

If this Actor is useful in your workflow, consider leaving an honest review. Feedback helps guide reliability improvements.

License

Apache-2.0. See LICENSE.