Zepto Product Scraper

Extract structured Zepto product search data at scale for analysis, pricing intelligence, and catalog monitoring. Collect product names, pack sizes, prices, stock status, ratings, categories, and images in one run. Built for reliable recurring data collection with clean dataset output.

Features

• Search-based extraction - Collect product data for any Zepto search query.
• Rich product records - Capture pricing, stock, ratings, IDs, pack details, and images.
• Multi-page collection - Fetch multiple pages until your result limit is reached.
• Clean datasets - Removes null and empty values before saving records.
• Deduplicated output - Prevents duplicate products across pages.

Use Cases

Price Tracking

Monitor product price movement over time and compare pricing across categories for better purchasing and strategy decisions.

Product Catalog Intelligence

Build clean product datasets for internal catalog enrichment, assortment analysis, and SKU-level tracking.

Competitive Market Research

Analyze brand-level and category-level product trends to identify high-demand items and market gaps.

Availability Monitoring

Track stock status and available quantity signals for important products and brands.

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Input Parameters

Parameter	Type	Required	Default	Description
query	String	No	"Chocolate"	Search keyword to scrape from Zepto.
keyword	String	No	—	Alias for query (used when query is empty).
startUrl	String	No	"https://www.zepto.com/search?query=Chocolate"	Optional Zepto search URL. Query is synchronized with query.
results_wanted	Integer	No	20	Maximum number of products to save.
max_pages	Integer	No	5	Safety cap for number of search pages to process.
proxyConfiguration	Object	No	Apify Proxy (Residential)	Proxy setup for reliability.

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Output Data

Each dataset item may contain:

Field	Type	Description
search_query	String	Search query used for extraction.
page_number	Integer	Page index where the product was found.
store_product_id	String	Store-level product identifier.
product_id	String	Product identifier.
product_variant_id	String	Product variant identifier.
store_id	String	Store identifier.
name	String	Product title/name.
brand	String	Product brand.
primary_category_name	String	Primary category name.
primary_category_id	String	Primary category ID.
formatted_packsize	String	Product pack size label.
unit_of_measure	String	Unit of measure.
available_quantity	Integer	Available quantity.
out_of_stock	Boolean	Stock availability flag.
mrp	Number	MRP in INR.
selling_price	Number	Selling price in INR.
discounted_selling_price	Number	Discounted price in INR.
discount_percent	Number	Discount percentage.
rating_average	Number	Average user rating.
rating_count	Integer	Number of ratings.
image_url	String	Primary product image URL.
scraped_at	String	ISO timestamp of extraction.

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Usage Examples

Basic Query Run

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

URL-Based Run

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

Large Collection Run

{
  "query": "protein",
  "results_wanted": 120,
  "max_pages": 10,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

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Sample Output

{
  "search_query": "Chocolate",
  "page_number": 0,
  "store_product_id": "74fc41ee-9a42-5b57-855b-b0f190032a4b",
  "product_id": "bb8502be-e590-42d1-93ee-2b28ab0a34a2",
  "product_variant_id": "317547c4-81a0-4aab-8bc1-53e5a719c8ed",
  "store_id": "b4dc8d65-ed2e-4142-81b6-373982b13500",
  "name": "Nestle Kitkat Delights Rich Heart Box | Valentine's Pack",
  "brand": "Kit-Kat",
  "primary_category_name": "Sweet Cravings",
  "formatted_packsize": "1 pack (14 x 7.4 g)",
  "unit_of_measure": "PIECE",
  "available_quantity": 6,
  "out_of_stock": false,
  "mrp": 375,
  "selling_price": 250,
  "discounted_selling_price": 250,
  "discount_percent": 33,
  "rating_average": 4.9,
  "rating_count": 544,
  "image_url": "https://cdn.zeptonow.com/production/cms/product_variant/5f1faf90-68c9-4fed-8076-0e2be46429b4.jpeg",
  "scraped_at": "2026-03-16T15:10:00.000Z"
}

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Tips for Best Results

Use Clear Queries

• Use specific product keywords for higher relevance.
• Avoid overly broad terms when you need focused output.

Keep Runtime Predictable

• Start with results_wanted: 20 for quick validation.
• Increase max_pages only when you need deeper coverage.

Improve Reliability

• Use proxy configuration for repeatable large runs.
• Schedule runs during off-peak hours for stable throughput.

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Integrations

Connect your dataset with:

• Google Sheets - Analyze product and price trends.
• Airtable - Build searchable SKU catalogs.
• Looker Studio - Create dashboards from exported data.
• Make - Automate post-processing workflows.
• Zapier - Trigger downstream business automations.

Export Formats

• JSON - API and engineering workflows.
• CSV - Spreadsheet analysis.
• Excel - Business reporting.
• XML - System integrations.

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Frequently Asked Questions

How many products can I collect?

You can collect as many as available for your query, controlled by results_wanted and max_pages.

Will duplicate products appear?

No. Output is deduplicated across processed pages.

Why are some fields missing on some products?

Some products may not include every attribute in the source data. Empty values are removed from output.

Can I run this on a schedule?

Yes. You can schedule recurring runs in Apify and store fresh datasets automatically.

Does it support different queries each run?

Yes. Set query (or startUrl) per run to scrape different product groups.

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Support

For issues or feature requests, use the Apify Console issue flow for this Actor.

Resources

• Apify Documentation
• Apify API Reference
• Apify Schedules

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Legal Notice

This Actor is intended for lawful data collection and analysis. You are responsible for complying with website terms, local laws, and applicable regulations when using collected data.