Giant Food Product Scraper

Extract full product data from Giant Food (giantfood.com) — an Ahold Delhaize USA grocery banner serving the Mid-Atlantic — as clean, structured JSON. Get prices, unit prices, full nutrition facts, ingredients, images, dietary/allergen flags and EBT eligibility for any product, category, or the entire ~40,000-item catalog.

No login, no store selection, no browser automation to babysit — paste product URLs, IDs, or aisle links (or flip on "scrape the whole catalog") and get a tidy dataset you can push straight into Sheets, a database, or your app.

Who it's for

• Price & competitive intelligence — CPG brands and competing grocers tracking Giant Food shelf prices, unit pricing and promotions over time.
• CPG / brand manufacturers — monitor your own SKUs' price, placement, images, nutrition and content accuracy on a major US banner.
• Nutrition, diet & health apps — ingredients, full nutrition facts, allergen and dietary flags, serving sizes, and EBT/SNAP eligibility.
• Market researchers & data teams — build a structured grocery catalog for analysis, dashboards, or model training.
• AI agents & LLM apps — call it over MCP to ground answers in real product data.

What you get (output fields)

Each product is one dataset row. Detail pages include the full set below; light listing mode (see fetchFullDetail) returns the core commercial fields.

Field	Type	Description
productId	string	Giant Food product ID
name	string	Product name
brand	string	Brand name
url	string	Canonical product page URL
price	number	Regular price (package total, USD)
unitPrice	number	Price per unit (e.g. per lb / per oz)
unitMeasure	string	Unit for the unit price (lb, oz, ct…)
size	string	Package size (e.g. "apx 3.5 lb")
variableWeight	boolean	Sold by variable weight
onSale	boolean	Advertised on sale
outOfStock	boolean	Currently out of stock
ebtEligible	boolean	EBT / SNAP eligible
category	string	Root category name
categoryPath	array	Full category breadcrumb
aisle	string	Aisle name
image / images	string / array	Main image + all image URLs
calories	number	Calories per serving
servingSize	string	Serving size
servingsPerContainer	string	Servings per container
nutrition	array	Nutrition facts [{name, amount, unit, dailyPercent}]
ingredients	string	Full ingredients list
directions	string	Usage / preparation directions
warnings	string	Warnings
countryOfOrigin	string	Country of origin
manufacturerName	string	Manufacturer name
manufacturerPhone	string	Manufacturer phone
description	string	E-commerce description
bulletPoints	array	Marketing bullet points
organic, vegan, vegetarian, kosher, bogo, privateLabel	boolean	Common attribute flags
flags	object	Full set of ~30 raw product flags
rating	number	Product rating (0 if no reviews)
scrapedAt	string	ISO timestamp

High-value use cases

1. Weekly price monitoring — schedule a category or catalog run and diff price / unitPrice / onSale over time to track promotions and price moves.
2. Brand shelf audit — pull your brand's products and verify images, nutrition, ingredients and descriptions are correct and complete.
3. Nutrition & EBT datasets — build a clean feed of calories, nutrition facts, ingredients and EBT eligibility for a diet, health, or benefits app.
4. Assortment & category research — enumerate an aisle (or the whole catalog) to map assortment, private-label share, and organic/vegan coverage.
5. AI grounding — feed real product data to an assistant that answers "what's the cheapest EBT-eligible ground beef at Giant Food?"

Input parameters

Field	Type	Default	Description
productUrls	array	[]	Product page URLs to scrape in full.
productIds	array	[]	Numeric product IDs (resolved to URLs via the sitemap).
categoryUrls	array	[]	Aisle URLs or <id>-<slug> (e.g. 1563-meat).
scrapeAllProducts	boolean	false	Crawl the entire catalog via the sitemap.
updatedSince	string	—	With catalog crawl: only items updated on/after this ISO date.
fetchFullDetail	boolean	true	For category/catalog items, fetch full detail (vs. light listing rows).
maxItems	integer	100	Stop after this many product rows.
zyteApiKey	string	—	Optional: use your own Zyte key instead of the built-in fetch.

Provide at least one of productUrls, productIds, categoryUrls, or scrapeAllProducts.

Example input

{
    "categoryUrls": ["1563-meat"],
    "fetchFullDetail": true,
    "maxItems": 50
}

Example output (one row, trimmed)

{
    "productId": "163208",
    "name": "Giant All Natural 80% Lean 20% Fat Ground Beef Fresh",
    "brand": "Our Brand",
    "url": "https://giantfood.com/groceries/product/giant-all-natural-80-lean-20-fat-ground-beef-fresh-apx-3-5-lb/163208",
    "price": 23.77,
    "unitPrice": 6.79,
    "unitMeasure": "lb",
    "size": "apx 3.5 lb",
    "variableWeight": true,
    "ebtEligible": true,
    "outOfStock": false,
    "category": "Meat",
    "categoryPath": ["Groceries", "Meat", "Ground Meat"],
    "image": "https://i5.peapod.com/c/RN/RNMEP.png",
    "calories": 288,
    "servingSize": "4 oz",
    "nutrition": [
        { "name": "Total Fat", "amount": 22.7, "unit": "g", "dailyPercent": 35 }
    ],
    "ingredients": "Ground Beef.",
    "banner": "Giant Food",
    "scrapedAt": "2026-08-18T12:00:00+00:00"
}

Scheduling & integrations

• Schedule runs (hourly/daily/weekly) from the Apify Console for automated price monitoring; use updatedSince for cheap incremental catalog refreshes.
• Webhooks fire on run completion to notify your systems or trigger downstream jobs.
• Export to JSON, CSV, Excel, or push to Google Sheets, Make, Zapier, Airbyte, S3, or your own database via the Apify API.

Use with AI assistants (MCP)

This Actor is callable over the Apify MCP server, so AI assistants (Claude, ChatGPT, or your own agents) can run it and read the results as a tool — ideal for "find the cheapest organic X at Giant Food" style questions grounded in live data.

FAQ

Which store's prices are returned? Giant Food publishes a standard catalog price per product on its public product pages; that is what this Actor extracts. Store-specific pricing that requires selecting a physical store is not exposed publicly on the web.

How many products can I scrape? From a single product up to the entire catalog (~40,000 items). Use maxItems to cap a run and updatedSince for incremental updates.

How fresh is the data? Every run scrapes live pages, so results reflect the site at run time. Schedule runs to keep a dataset current.

Do I need a Zyte key or proxies? No. A residential fetch is built in so the Actor works out of the box. You can optionally supply your own Zyte key.

Is keyword search supported? Not in this version — Giant Food's public web search is store-gated. Use category/aisle URLs or the catalog crawl to enumerate products instead.

Is this legal? The Actor collects only publicly available product information. You are responsible for complying with Giant Food's terms and applicable laws, and for how you use the data.

Reliability? The client handles Giant Food's anti-bot protection (DataDome + Cloudflare) via a residential fetch with automatic retries. If a run fails, errors are reported and you are only billed for results produced.

Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Giant Food or Ahold Delhaize. All trademarks belong to their respective owners.