Zepto Product Scraper

What does Zepto Product Scraper do?

Zepto Product Scraper collects product search results from Zepto and saves one dataset item per product. Give it a search term in query or a public Zepto search URL in startUrl, then choose how many products you want.

Each row contains the product name, brand, category, pack size, prices in Indian rupees, discount, stock status, ratings, identifiers, and image URL when Zepto publishes them. The result is a flat table you can load into a spreadsheet or database.

Why use Zepto Product Scraper?

Price checks are the most common use. Each row carries MRP, selling price, discounted price, discount amount, Super Saver price, and Zepto Pass price, so you can compare runs without joining tables.

The same rows support assortment research and stock tracking. Group them by brand, category, pack size, or store, and watch available_quantity and out_of_stock change over time. The product, variant, and store identifiers let you match rows to your own catalog. Schedule the same search and the datasets become a price history.

What data can you extract?

Each dataset item represents one product returned for the search query.

Field	Description
name	Product name shown in search results
brand	Product brand
formatted_packsize	Human-readable pack size
mrp	Maximum retail price in INR
selling_price	Selling price in INR
discounted_selling_price	Discounted selling price in INR
discount_percent	Discount percentage
out_of_stock	Whether the item is out of stock
rating_average	Average product rating
rating_count	Number of ratings
image_url	Primary product image URL

The full output table below lists every field the Actor can save.

How to scrape Zepto product data

1. Open Zepto Product Scraper on Apify.
2. Enter a product term in query, or paste a public Zepto search URL in startUrl.
3. Set results_wanted for the number of rows and max_pages as a pagination cap.
4. Leave proxyConfiguration off unless you need a specific exit IP. Residential IN is the reliable choice for Zepto; datacenter IPs are often blocked.
5. Start the run and open the dataset preview.
6. Download the results or connect the dataset to your next workflow.

If both search fields are filled, query wins and startUrl is ignored. If neither is filled, the Actor runs the default search URL. A startUrl must contain a query parameter.

Zepto resolves the delivery store from the request IP. If no store is serviceable, the Actor retries with a Bengaluru delivery location so the run can still return products. If the exit IP is login-walled and you did not configure a proxy, the Actor retries the session once with an Apify Indian residential proxy. A proxy that you configure yourself is used as-is; datacenter proxy IPs are often blocked, so residential is the reliable choice. The store_id field records which store supplied each row.

Input Parameters

Parameter	Type	Required	Default	Description
query	String	No	none	Product search term. Takes precedence over startUrl.
startUrl	String	No	https://www.zepto.com/search?query=Chocolate	Public Zepto search URL. Its query parameter is used when query is empty.
results_wanted	Integer	No	20	Maximum number of unique products to save. Minimum 1.
max_pages	Integer	No	5	Maximum number of result pages to read. Minimum 1.
proxyConfiguration	Object	No	{"useApifyProxy": false}	Optional proxy. Residential IN is the reliable choice; datacenter IPs are often blocked.

Output Data

Each item is a flat JSON object. Empty values are omitted instead of saved as placeholders.

Field	Type	Description
search_query	String	Search term used for the run
page_number	Integer	Page index where the product appeared. The first page is 0.
store_product_id	String	Store-level product identifier
product_id	String	Product identifier
product_variant_id	String	Variant identifier
store_id	String	Store that supplied the price and stock
name	String	Product name
brand	String	Brand
country_of_origin	String	Country of origin when published
manufacturer_name	String	Manufacturer when published
primary_category_name	String	Primary category name
primary_category_id	String	Primary category identifier
primary_subcategory_id	String	Primary subcategory identifier
primary_subcategory_name	String	Primary subcategory name when published
formatted_packsize	String	Pack size label
packsize	Number	Numeric pack size
unit_of_measure	String	Unit for the pack size
available_quantity	Number	Available quantity when published
catalog_quantity	Number	Catalog quantity signal
max_allowed_quantity	Number	Maximum quantity per order
out_of_stock	Boolean	Out-of-stock flag
is_active	Boolean	Active flag
is_best_offer	Boolean	Best-offer flag
is_new_product	Boolean	New-product flag
mrp	Number	Maximum retail price in INR
selling_price	Number	Selling price in INR
discounted_selling_price	Number	Discounted selling price in INR
discount_amount	Number	Discount amount in INR
discount_percent	Number	Discount percentage
super_saver_selling_price	Number	Super Saver price in INR when available
zepto_pass_price	Number	Zepto Pass price in INR when available
rating_average	Number	Average rating
rating_count	Integer	Total ratings
image_url	String	Primary image URL
fssai_license	String	FSSAI license when published
shelf_life_hours	Integer	Shelf life in hours when published
weight_in_gms	Number	Weight in grams
product_type	String	Zepto product type
description	String	Product description
how_to_use	String	Usage instructions when published
attribute_tags	Array of Strings	Unique attribute tags
scraped_at	String	ISO timestamp of collection time

Usage Examples

Basic keyword search

{
  "query": "Chocolate",
  "results_wanted": 20
}

Search URL input

{
  "startUrl": "https://www.zepto.com/search?query=chips",
  "results_wanted": 30,
  "max_pages": 4
}

Larger collection with Apify Proxy

{
  "query": "protein powder",
  "results_wanted": 100,
  "max_pages": 10,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "IN"
  }
}

Sample Output

This is a real row from a Chocolate run. Values differ by product and store.

{
  "search_query": "Chocolate",
  "page_number": 0,
  "store_product_id": "688a151a-1c88-5b8b-a7dd-ed2e5539e8d7",
  "product_id": "fd5b17bd-8b3b-4861-9112-e8b678ec6efd",
  "product_variant_id": "3ef335eb-0dee-4cba-bceb-de855ce6edd5",
  "store_id": "b4dc8d65-ed2e-4142-81b6-373982b13500",
  "name": "Cadbury Dairy Milk Silk Oreo Chocolate Bar",
  "brand": "Cadbury",
  "country_of_origin": "India",
  "manufacturer_name": "Mondelez India Foods Private Limited",
  "primary_category_name": "Sweet Cravings",
  "primary_category_id": "adab2f81-7140-4fe9-b8cf-3d809f40e38a",
  "primary_subcategory_id": "ca984d2d-70b8-464c-b182-41aa328b3d4b",
  "formatted_packsize": "1 pc (58.5 g)",
  "packsize": 58,
  "unit_of_measure": "GRAM",
  "available_quantity": 9,
  "catalog_quantity": 9,
  "max_allowed_quantity": 1000,
  "out_of_stock": false,
  "is_active": true,
  "is_best_offer": false,
  "is_new_product": false,
  "mrp": 100,
  "selling_price": 100,
  "discounted_selling_price": 100,
  "discount_percent": 0,
  "super_saver_selling_price": 100,
  "rating_average": 4.7,
  "rating_count": 109168,
  "image_url": "https://cdn.zeptonow.com/production/cms/product_variant/9cb10421-0fe9-4981-a0d1-2aa909636474.jpg",
  "shelf_life_hours": 8760,
  "weight_in_gms": 58,
  "product_type": "SELLABLESKU",
  "description": "Silk: The classic taste of Cadbury Dairy Milk chocolates only more creamy, smooth & indulging.",
  "scraped_at": "2026-11-02T06:31:42.395Z"
}

Data-quality behavior

• Rows are flattened to scalar values and small string arrays.
• Empty strings, nulls, and non-finite numbers are left out.
• Prices are converted from paise to INR rupees. Missing or zero optional prices are omitted.
• Products are deduplicated by product or store-level identifier across pages.
• Sponsored brand carousels are ignored. Only products from the search grid are saved.
• Product descriptions and usage text are joined into one value when Zepto returns several parts.
• If the normal request path is rejected, the Actor reads the rendered results page and keeps going. Data already saved stays in the dataset.
• A rejected session is rebuilt and the page is retried before the fallback is used.
• If the main search endpoint rejects a page, the Actor retries it through the older v3 endpoint.
• If the main storefront asks for a login, the Actor switches to Zepto's lighter storefront and continues. If both storefronts refuse and no proxy was configured, it retries once with an Apify Indian residential proxy.

Tips for best results

• Use specific terms such as dark chocolate pack or wireless earbuds for a focused dataset.
• Start with 20 results to confirm the query and fields before raising results_wanted.
• Raise max_pages when a query has more results than one page. Page sizes vary, so keep the cap above the number of pages you expect.
• Keep results_wanted and max_pages consistent. A low page cap can stop the run before the result limit is reached.
• Enable an Indian residential proxy when you need a store in India. The store affects prices, stock, and delivery estimates.
• Schedule repeat runs to compare price and availability changes.

Limitations

• The Actor collects Zepto search results, not a full catalog or arbitrary product pages.
• One run uses one search context. The schema does not accept a list of queries.
• There are no filters for brand, category, price, stock, or sort order.
• The delivery store is chosen by Zepto from the request IP. Two runs from different IPs can return different prices for the same product. store_id shows which store was used.
• Result counts depend on the query. A run can stop at results_wanted, max_pages, the end of the results, or a session failure, so fewer rows may be returned.
• Zepto may ask an IP to log in before searching. The Actor tries the older v3 search endpoint, the lighter storefront, and, when no proxy is configured, an Apify Indian residential proxy. If a proxy you configured is blocked, switch it to residential; datacenter IPs are often rejected.
• Prices are in INR and change between runs.

Integrations and export formats

• Apify API - Read dataset items from applications and pipelines.
• Google Sheets - Review product prices, brands, pack sizes, and stock.
• Webhooks - Notify another service when a run finishes.
• Make or Zapier - Send rows to no-code workflows.
• JSON, CSV, Excel, and XML - Export for analysis or imports.

Frequently Asked Questions

Can I search Zepto by keyword?

Yes. Set query to a product term such as coffee or shampoo.

Can I use a Zepto search URL instead?

Yes. Set startUrl to a public Zepto search URL that contains a query parameter. If query is also set, query wins.

Are prices returned in Indian rupees?

Yes. Price fields are converted to numeric INR values.

Why is a field missing from a product?

Zepto does not publish every attribute for every product. The Actor omits empty values, so a missing field usually means the source did not return it.

Will duplicate products appear across pages?

No. The Actor removes repeats when a product or store-level identifier is available.

Why do prices differ between runs?

Zepto prices depend on the delivery store it assigns to the request IP. Use an Indian proxy to keep the region stable, and compare rows by store_id.

Can I run this Actor on a schedule?

Yes. Create an Apify schedule with the same input and compare datasets over time.

What happens if a request is blocked?

The Actor retries, rebuilds the session when needed, switches to Zepto's lighter storefront if the main one asks for a login, and falls back to reading the rendered results page. If nothing can be collected, the run fails with a clear message instead of saving an empty dataset.

Is it legal to collect Zepto data?

You are responsible for complying with Zepto's terms, applicable laws, privacy rules, and any restrictions on the data you collect. Use the Actor for legitimate research and monitoring.

Related Actors

• Target Product Scraper - Product prices, ratings, availability, images, and inventory data from Target.com.
• Trendyol Product Scraper - Product, price, rating, seller, image, and category data from Trendyol search results.
• Shopify Product Scraper - Normalized product and variant data from public Shopify stores.

Support

For issues, feature requests, or changes in Zepto's search results, use the Issues tab on the Actor page in Apify Console. Include the input, run ID, and a short description of the unexpected result.

Legal Notice

This Actor is intended for legitimate collection and analysis of publicly available Zepto product information. Users are responsible for complying with Zepto's website terms, applicable laws, privacy obligations, and any requirements governing the use or redistribution of collected data.