Instacart Grocery Price Scraper

Collect Instacart product data for grocery price tracking, catalog analysis, and market monitoring. This actor helps you scrape product listings in a structured format, with clean records ready for dashboards, spreadsheets, and automation workflows.

Features

• Category URL scraping — Collect products from one or multiple Instacart category pages.
• Keyword search URL support — Extract rich item data from search URLs like /store/s?k=lemon.
• Store URL support — Richest item-level output is typically available on store/search routes.
• Clean dataset output — Save normalized rows with duplicate filtering enabled by default.
• Flexible collection size — Control how many products to process per run (pagination is automatic).
• Reliable long runs — Use optional proxy configuration for stronger run stability.
• Analysis-ready fields — Export key product identifiers, names, pricing, links, and stock status.

Use Cases

Grocery Price Monitoring

Track product-level prices over time to identify trends, sudden increases, and category-level shifts.

Competitive Benchmarking

Compare product assortment and pricing signals across categories to support commercial analysis.

Category Intelligence

Build focused datasets for fresh produce or other sections to understand assortment depth and availability.

BI and Reporting Pipelines

Feed structured output into BI tools, spreadsheets, or internal ETL jobs for recurring reporting.

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Input Parameters

Parameter	Type	Required	Default	Description
startUrls	Array	Yes	Fresh produce category	One or more Instacart URLs to scrape (category/search/store). Search/store URLs usually return richer commercial fields than category URLs.
results_wanted	Integer	No	20	Maximum number of products to save.
proxyConfiguration	Object	No	Apify Proxy disabled	Proxy settings for run reliability.

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Output Data

Each dataset item may contain the following fields:

Field	Type	Description
product_id	String	Product identifier when available.
name	String	Product name.
brand	String	Brand name when available.
brand_id	String	Brand identifier when available.
price	Number	Current price when available.
price_string	String	Raw price string from listing cards.
original_price	Number	Previous price when available.
size	String	Product size/packaging text.
image_url	String	Product image URL.
product_url	String	Product detail URL.
in_stock	Boolean	Availability flag.
stock_level	String	Availability level (for example inStock).
item_id	String	Item-level ID from search payloads.
item_load_id	String	Item load identifier for the listing session.
retailer_id	String	Retailer identifier in multi-retailer search.
shop_id	String	Shop identifier in multi-retailer search.
search_term	String	Search term attached to search payload results.
search_id	String	Search session identifier.
store	String	Store/source label.
category	String	Product category label when available.
timestamp	String	Extraction timestamp (ISO format).
extraction_method	String	Output provenance label.

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Usage Examples

Basic Run

{
  "startUrls": [
    { "url": "https://www.instacart.com/categories/316-food/317-fresh-produce" }
  ]
}

Larger Collection

{
  "startUrls": [
    { "url": "https://www.instacart.com/store/s?k=lemon" }
  ],
  "results_wanted": 100
}

Multi-URL Collection

{
  "startUrls": [
    { "url": "https://www.instacart.com/categories/316-food/317-fresh-produce" },
    { "url": "https://www.instacart.com/categories/316-food/320-bakery" }
  ],
  "results_wanted": 120
}

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Sample Output

{
  "product_id": "16614423",
  "item_id": "items_53-3094844",
  "item_load_id": "019cf06a-77b4-7e44-9565-61821de8d675",
  "name": "English Seedless Cucumber",
  "brand": "sun pacific",
  "brand_id": "79047",
  "size": "1 each",
  "price": 0.99,
  "price_string": "$0.99",
  "stock_level": "inStock",
  "image_url": "https://www.instacart.com/image-server/400x400/d2lnr5mha7bycj.cloudfront.net/product-image/file/primary_5476a6d4-ff42-4d01-a194-86bfba1468b4.jpg",
  "product_url": "https://www.instacart.com/products/16614423-english-seedless-cucumber-each",
  "in_stock": true,
  "retailer_id": "1",
  "shop_id": "9501",
  "search_term": "lemon",
  "search_id": "e706268e-f8bd-4fe7-aecd-ec0380e0c320",
  "store": "Instacart",
  "category": "Fresh Produce",
  "timestamp": "2026-03-15T06:43:34.647Z",
  "extraction_method": "structured_search_state"
}

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Tips for Best Results

Use Working Category URLs

• Use live Instacart category links from a supported store route.
• Validate URLs manually before large runs.

Choose URL Type By Data Richness

• Category URLs are best for broad catalog coverage and category metadata.
• Search/store URLs usually include richer item-level fields like price context, stock detail, retailer/shop context, and merchandising attributes.

Start Small Then Scale

• Start with results_wanted: 20 for quick validation.
• Increase gradually for larger production jobs.

Built-In Data Cleanup

• Duplicate filtering is enabled internally for clean product datasets.
• Empty and null-like values are removed before records are saved.

Progressive Batch Output

• Data is pushed to dataset continuously in batches during crawling.
• If a run is stopped early, already-collected batches remain available in Output.

Built-In Request Pacing

• Request pacing is handled internally for stable page processing.
• Use proxy configuration when additional reliability is needed.

Automatic Pagination

• Pagination is auto-calculated from results_wanted and live page yield.
• Crawling stops early if subsequent pages stop producing new unique products.

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Integrations

Connect scraped data with:

• Google Sheets — Build live tracking sheets.
• Airtable — Maintain searchable product databases.
• Make — Automate post-processing and alerts.
• Zapier — Trigger actions after each successful run.
• Webhooks — Push data into internal systems.

Export Formats

• JSON — API and development workflows.
• CSV — Spreadsheet analysis.
• Excel — Business reporting.

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Frequently Asked Questions

What happens if no input is provided?

The actor expects startUrls. Local testing uses INPUT.json defaults.

How many products can I collect?

Set results_wanted to your target. Collection size depends on available products and automatic pagination.

Can I scrape multiple categories in one run?

Yes. Provide multiple entries in startUrls.

Why are some fields missing on certain rows?

Some products do not expose every attribute on every listing. Category URLs are usually less rich than search/store URLs, so use search/store when you need maximum field coverage.

How do I reduce duplicates?

The actor applies internal duplicate filtering automatically.

Can I schedule this actor?

Yes. You can run it on schedules and route output into downstream automations.

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Support

For issues or feature requests, use Apify Console support channels.

Resources

• Apify Documentation
• Apify API Reference
• Apify Scheduling

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Legal Notice

Use this actor responsibly and in compliance with website terms and applicable laws. Respect rate limits and data usage policies.