Instacart Scraper

Pull live grocery and retail product data from Instacart at scale — real, location-specific prices, unit prices, pack sizes, images, stock levels, and nutrition and dietary attributes for any US ZIP code. Enter a ZIP and you get the exact stores and prices Instacart shows a shopper standing in that location, across every retailer serving the area. Built for CPG brands, grocery pricing and market-research analysts, and e-commerce teams who need real location-level Instacart pricing without checking dozens of stores by hand.

Why This Scraper?

• Prices are genuinely location-aware — enter ZIP 10001 and you get real Manhattan stores and NYC prices; enter 60601 and you get Chicago stores and Chicago prices. The ZIP drives the whole result set, not one fixed region baked into the actor.
• Every product row includes a live price — no blank price fields to clean up. Each row carries the real, current price Instacart shows for that store and ZIP.
• Four pricing fields per product — the displayed price string, a numeric price for math, the per-unit price (e.g. "$0.08/fl oz"), and the full/original price for spotting discounts.
• Searches every retailer at the ZIP automatically — Costco, Key Food, Zabar's, Jewel-Osco, Strack & Van Til and whichever other stores deliver to that location. Leave the store filter empty for the top stores, or name specific stores by slug (costco, safeway, sprouts) to compare one banner.
• Inline nutrition and dietary data — per-product nutrition attributes (protein, fat, sugar, calories, with values and units) and dietary badges (organic, gluten-free, non-GMO) pulled straight from the product card.
• Batch many search terms in one run — pass ["milk", "organic eggs", "olive oil"] and each keyword runs its own search across your chosen stores in a single job.
• Stock and availability on every row — an availability flag, a stock-level label, plus an optional in-stock-only filter that drops anything you can't order right now.
• The resolved location travels with the data — every row records the exact ZIP and the store (name, slug, and store ID) it was collected from, so multi-ZIP and multi-store datasets stay unambiguous.

Use Cases

Pricing Intelligence

• Track the same product's price across ZIP codes and retailers
• Compare a competitor's shelf price against yours at the store level
• Monitor per-unit pricing to catch "shrinkflation" and pack-size changes
• Build price indexes for a basket of staple groceries by market

CPG & Brand Monitoring

• Verify your products are listed and in stock across target markets
• Audit how your brand's items are priced versus private-label alternatives
• Confirm nutrition and dietary badges display correctly on your listings
• Spot unauthorized discounting or full-price gaps across retailers

Market Research

• Map which retailers actually serve a given ZIP or metro
• Measure assortment breadth for a category (e.g. "olive oil") by store
• Compare grocery baskets across neighborhoods and cities
• Analyze the mix of organic, gluten-free, and specialty products by area

Data Enrichment & Integration

• Enrich product catalogs with live Instacart prices and images
• Feed location-level pricing into dashboards and BI tools
• Power price-comparison and deal-alert products
• Keep an internal grocery price database current on a schedule

Getting Started

Simple — one keyword, one ZIP

The fastest way to start: a search term and a delivery ZIP.

{
    "searchTerms": ["milk"],
    "postalCode": "10001"
}

Multiple keywords with a result cap

{
    "searchTerms": ["milk", "organic eggs", "olive oil"],
    "postalCode": "60601",
    "maxResults": 100
}

Target specific stores, in-stock only

{
    "searchTerms": ["greek yogurt"],
    "postalCode": "10001",
    "streetAddress": "350 5th Ave, New York",
    "retailers": ["costco", "key-food"],
    "inStockOnly": true,
    "maxResults": 200
}

Input Reference

What to Scrape

Parameter	Type	Default	Description
searchTerms	string[]	["milk"]	Plain keywords to search for, such as "milk", "organic eggs", or "olive oil". Add as many as you like — each runs its own search across your chosen stores.

Delivery Location

Parameter	Type	Default	Description
postalCode	string	"10001"	US ZIP code for the delivery area you want prices for. This genuinely controls the location — results come from the stores that deliver to this ZIP, with that area's real prices. Leave empty to use an approximate location detected automatically.
streetAddress	string	null	Optional street address for a more precise delivery point within the ZIP (e.g. "350 5th Ave, New York"). Leave empty to use the ZIP's center.

Options

Parameter	Type	Default	Description
maxResults	integer	100	Maximum number of products to return in total, across all search terms and stores. Set to 0 to collect everything available. Start with 20-100 to test.
inStockOnly	boolean	false	When on, only products currently available to order are returned; anything out of stock is skipped.
retailers	string[]	[]	Optionally search only specific stores by their Instacart store slug (e.g. "costco", "safeway", "sprouts"). Matching is case-insensitive. Leave empty to search the top stores for your ZIP.

Output

Every result is one flat, priced product row. Here's a representative example:

{
    "searchTerm": "milk",
    "name": "Organic Whole Milk",
    "brand": "horizon organic",
    "price": 5.99,
    "priceString": "$5.99",
    "priceAvailable": true,
    "fullPriceString": "$6.49",
    "pricePerUnit": "$0.09/fl oz",
    "size": "64 fl oz",
    "productId": "16789234",
    "imageUrl": "https://www.instacart.com/image-server/example.jpg",
    "url": "https://www.instacart.com/store/key-food/products/16789234",
    "available": true,
    "stockLevel": "high",
    "availabilityLabel": "Many in stock",
    "nutrition": [
        { "label": "Protein", "value": "8", "unit": "g" },
        { "label": "Total Fat", "value": "8", "unit": "g" }
    ],
    "dietary": ["Organic", "Gluten-Free"],
    "retailer": "Key Food",
    "retailerSlug": "key-food",
    "shopId": "12345",
    "postalCode": "10001"
}

Product & Search

Field	Type	Description
searchTerm	string	The keyword that produced this product
name	string	Product name
brand	string | null	Brand name
size	string | null	Pack size (e.g. "64 fl oz", "1 gal")
productId	string | null	Instacart product identifier
imageUrl	string | null	Product image URL
url	string | null	Direct product page URL

Pricing

Field	Type	Description
price	number | null	Current price as a number for calculations
priceString	string | null	Price exactly as displayed (e.g. "$5.99")
priceAvailable	boolean	Whether a price was captured for this product
fullPriceString	string | null	Full or original price, useful for spotting discounts
pricePerUnit	string | null	Per-unit price if shown (e.g. "$0.09/fl oz")

Availability & Attributes

Field	Type	Description
available	boolean | null	Whether the product is currently orderable
stockLevel	string | null	Stock level indicator
availabilityLabel	string | null	Human-readable stock label (e.g. "Many in stock")
nutrition	object[] | null	Nutrition attributes, each with label, value, and unit
dietary	string[]	Dietary badges (Organic, Gluten-Free, Non-GMO, etc.)

Store & Location

Field	Type	Description
retailer	string | null	Store name the product came from
retailerSlug	string | null	Store slug (use this value in the retailers input)
shopId	string	Instacart store identifier
postalCode	string	The delivery ZIP the search was run for

Tips for Best Results

• The ZIP is your most powerful lever — different ZIPs surface different stores and different prices. To compare markets, run the same keywords across a list of ZIPs (e.g. 10001, 60601, 90001) and group the output by postalCode.
• Compare one banner across cities — put the same slug in retailers (e.g. ["costco"]) and change only the ZIP between runs to see how a single chain prices the same product city by city.
• Start small, then scale — set maxResults to 20-100 on your first run to confirm the data fits your needs, then raise it or set 0 for everything available.
• Use the store slug, not the display name — the retailers filter matches Instacart slugs like key-food or jewel-osco. Grab the exact value from the retailerSlug field of an earlier run.
• Store availability is ZIP-specific — a store that exists in one ZIP may not deliver to another. If a requested store is skipped, it isn't available for that location; leave retailers empty to fall back to the top stores.
• Broad keywords return the most — "milk" or "olive oil" pull a full grid; very specific brand phrases return fewer products.
• The same product can appear once per store and once per search term — that's intended, not a duplicate: prices differ by store and each keyword runs its own search. To collapse to one row per product, group by productId and retailerSlug.
• Turn on inStockOnly for order-ready data — ideal when you only care about products a shopper can actually add to cart today.

Pricing

From $10.00 per 1,000 results — up to a third cheaper than comparable Instacart data tools. Bronze, Silver, and Gold subscribers pay progressively less; the table below shows total cost at each discount tier.

Results	No discount	Bronze	Silver	Gold
100	$1.20	$1.13	$1.07	$1.00
1,000	$12.00	$11.30	$10.70	$10.00
10,000	$120.00	$113.00	$107.00	$100.00
100,000	$1,200.00	$1,130.00	$1,070.00	$1,000.00

A "result" is any product row in the output dataset. No compute or time-based charges — you pay per result, plus a small fixed per-run start fee.

Integrations

Export data in JSON, CSV, Excel, XML, or RSS. Connect to 1,500+ apps via:

• Zapier / Make / n8n — Workflow automation
• Google Sheets — Direct spreadsheet export
• Slack / Email — Notifications on new results
• Webhooks — Trigger custom APIs on run completion
• Apify API — Full programmatic access

Legal & Ethical Use

This actor is designed for legitimate price monitoring, market research, and product intelligence. Users are responsible for complying with applicable laws and Instacart's Terms of Service. Do not use extracted data for spam, harassment, or any illegal purpose. Collect only publicly available product information and use it responsibly.