🍽️ US Foods Catalog Scraper

🚀 Export the US Foods public product catalog in seconds. Collect titles, brands, case sizes, descriptions, features, benefits, and images for foodservice products. No API key, no registration, no manual CSV wrangling.

🕒 Last updated: 2026-05-23 · 📊 16 fields per record · 500+ products · 30+ brands · JSON / CSV / Excel / XML export

US Foods is one of the two largest broadline foodservice distributors in the United States, serving more than 250,000 restaurants, healthcare operations, schools, hotels, and independent kitchens. Its public product catalog at usfoods.com/products-we-offer showcases the proprietary brand lineup that distinguishes the company from rivals like Sysco. This Actor walks that public catalog end-to-end and returns one clean JSON record per product, ready for spreadsheets, dashboards, AI pipelines, or vendor benchmarking workflows.

The scraper enumerates every product URL exposed by the official sitemap.xml, then parses each detail page server-side. Output includes the primary image, product title, internal product ID, brand name, brand logo, rich description, case size, serving size, servings per case, an ordered list of features, an ordered list of benefits, optional regulatory disclaimers, and a gallery of all carousel images. Every record is timestamped with scrapedAt so you can run the Actor on a schedule and diff snapshots over time.

🎯 Target Audience	💡 Primary Use Cases
Restaurant owners and executive chefs	Build a unified product database for cross-distributor comparison
Restaurant group purchasing managers	Track US Foods brand portfolio changes week over week
Hospital, school, and hotel food service directors	Populate menu engineering tools with case-size and servings data
Foodservice consultants and procurement analysts	Audit vendor product mix and surface new launches
Market research and competitive intelligence teams	Map the US Foods proprietary brand catalog by category
Data engineers building AI agents for hospitality	Feed clean, structured product data into LLM workflows

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📋 What the US Foods Catalog Scraper does

• 📂 Crawls the full public catalog. Walks the official sitemap to discover every product URL in usfoods.com/products-we-offer/.
• 🏷️ Captures brand context. Extracts brand name and brand logo image for every record so you can group products by proprietary line.
• 📦 Returns pack and yield specs. Pulls case size, serving size, and servings per case directly from the structured product spec block.
• 📝 Preserves marketing copy verbatim. Saves the long-form description, features list, benefits list, and any regulatory disclaimer text.
• 🖼️ Keeps the entire image gallery. Stores the hero image plus every carousel image so you can render product cards downstream.
• 🎯 Supports targeted runs. Pass a list of specific product URLs to skip the sitemap and scrape only what you need.

Each record arrives as a flat JSON object with predictable field ordering: image first, identifiers next, then specs, then arrays, then a scrapedAt timestamp and error slot. The shape is stable across runs, which makes downstream parsing trivial in pandas, BigQuery, Airtable, or any spreadsheet tool.

💡 Why it matters: restaurants on 3-9% profit margins lose real money when food cost benchmarking is manual. A clean US Foods catalog feed is the missing piece for any procurement workflow that already tracks Sysco, Restaurant Depot, or other broadline distributors.

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🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough showing how to launch a run, filter results, and export to Google Sheets.

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⚙️ Input

Field	Type	Default	Description
productUrls	array of strings	[]	Optional. Specific US Foods product URLs to scrape, e.g. https://www.usfoods.com/products-we-offer/product.1-diced-beef.html. Leave empty to crawl the full public catalog from the sitemap.
maxItems	integer	10	Hard cap on records returned. Free plans are limited to 10. Paid plans support up to 1,000,000.

Example: crawl 50 products straight from the sitemap.

{
    "maxItems": 50
}

Example: scrape only a curated short list.

{
    "productUrls": [
        "https://www.usfoods.com/products-we-offer/product.1-diced-beef.html",
        "https://www.usfoods.com/products-we-offer/product.100-key-lime-juice.html",
        "https://www.usfoods.com/products-we-offer/product.12-raised-edge-parbaked-pizza-crust.html"
    ],
    "maxItems": 3
}

⚠️ Good to Know: the US Foods public catalog is a marketing showcase of the proprietary brand portfolio. It does not expose customer-specific contract pricing, which lives behind the ordering portal and varies by account. Treat this Actor as a product specification feed, not a real-time price feed.

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📊 Output

Every product is returned as one flat JSON object. Fields are ordered for predictable downstream parsing: image first, then identifiers, specs, arrays, and a timestamp.

🧾 Schema

Field	Type	Example
🖼 imageUrl	string	https://www.usfoods.com/content/dam/products/eb/10750947006746_C1CF_2522811.jpg
📌 title	string	1" Diced Beef
🔗 url	string	https://www.usfoods.com/products-we-offer/product.1-diced-beef.html
🆔 productId	string	2522811
🏷️ brand	string	STOCK YARDS®
🎨 brandImageUrl	string	https://www.usfoods.com/content/dam/.../STOCKYARDS-L-C.svg
📝 description	string	Elevate your comfort food offerings with Stock Yards Diced Beef...
📦 caseSize	string	2/5 LB.
🍽 servingSize	string | null	100 g
🔢 servingsPerCase	string | null	45
✨ features	array<string> | null	["USDA Choice Grade", "NAMP/MBG: 135A", ...]
💎 benefits	array<string> | null	["Labor-saving: diced and frozen...", ...]
⚖️ disclaimers	string | null	*Processing aids and potential cross-contact...
🖼 imageUrls	array<string>	["https://www.usfoods.com/content/dam/products/.../...jpg"]
🕒 scrapedAt	string (ISO 8601)	2026-05-23T12:15:36.682Z
❌ error	string | null	null

📦 Sample records

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✨ Why choose this Actor

	Capability
🚀	Fast crawl path. Pure HTTP fetch plus Cheerio parsing. No browser, no proxy lock-in, no captcha dance.
🧱	Stable field shape. Every record matches the schema above, so your downstream code never breaks on missing keys.
📦	Real pack and yield data. Case size, serving size, and servings per case parsed straight from the spec block.
🏷️	Brand grouping ready. Brand name and brand logo on every record lets you cluster the proprietary portfolio.
🖼️	Image-first ordering. Hero image is field one, gallery is preserved, so product cards render cleanly.
🎯	URL targeting. Pass a list of specific product URLs for incremental updates or quality-control sweeps.
⏱️	Timestamped output. scrapedAt on every record makes longitudinal tracking and diffing painless.

📊 A full sitemap pass returns roughly 500 products in under three minutes on a single Apify run.

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📈 How it compares to alternatives

Approach	Cost	Coverage	Refresh	Filters	Setup
Manual browsing	Free, but hours per week	One product at a time	Whenever you remember	None	Copy-paste hell
Official publications	Free, very limited	Marketing PDFs only	Quarterly at best	None	Manual parsing
Paid live distributor APIs	High monthly fee	Customer-account scoped	Real-time	Account-level	Vendor onboarding
Legacy community dumps	Free	Stale, often years old	Never	None	Out of date
⭐ US Foods Catalog Scraper (this Actor)	Pay only for what you run	Full public sitemap	On demand or scheduled	URL list, item cap	One click

The right pick depends on whether you need authoritative, live, public catalog data or a contract-pricing data feed. This Actor covers the first cleanly, no friction.

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🚀 How to use

1. 🔐 Sign up for Apify. Create a free account at console.apify.com. No credit card needed.
2. 🍽️ Open the Actor. Land on the US Foods Catalog Scraper page on the Apify Store.
3. ⚙️ Set your input. Leave productUrls empty for a full crawl, or paste specific product URLs. Set maxItems to whatever you need.
4. ▶️ Hit Start. The Actor enumerates the sitemap and scrapes each page. Free runs cap at 10 records for preview.
5. 📥 Export your data. Download as JSON, CSV, Excel, or XML. Connect to Google Sheets, Airtable, Slack, Make, or your own backend.

⏱️ Total time from sign-up to first dataset: about two minutes.

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💼 Business use cases

🍽️ Independent restaurants Build a US Foods reference list to negotiate pricing with reps Track new brand launches in the proprietary portfolio Cross-check case-size and yield specs against menu costing tools Spot product reformulations by diffing descriptions over time	🏢 Group purchasing managers Maintain a unified product catalog across multiple distributors Map US Foods proprietary brands to category benchmarks Feed procurement dashboards with brand and yield context Generate vendor-side reports for finance and operations leads
🏥 Institutional foodservice Populate dietitian tools with serving size and pack data Audit broadline distributor coverage for hospital and school menus Spot supply gaps when planning multi-site catering rotations Build internal request portals seeded with real product copy	📊 Procurement analysts and consultants Map the foodservice brand landscape for clients Generate competitive intelligence reports on broadline product mix Track product launches and discontinuations between snapshots Power AI shopping agents with structured catalog data

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🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🎓 Research and academia Empirical datasets for papers, thesis work, and coursework Longitudinal studies tracking changes across snapshots Reproducible research with cited, versioned data pulls Classroom exercises on data analysis and ethical scraping	🎨 Personal and creative Side projects, portfolio demos, and indie app launches Data visualizations, dashboards, and infographics Content research for bloggers, YouTubers, and podcasters Hobbyist collections and personal trackers
🤝 Non-profit and civic Transparency reporting and accountability projects Advocacy campaigns backed by public-interest data Community-run databases for local issues Investigative journalism on public records	🧪 Experimentation Prototype AI and machine-learning pipelines with real data Validate product-market hypotheses before engineering spend Train small domain-specific models on niche corpora Test dashboard concepts with live input

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🔌 Automating US Foods Catalog Scraper

Trigger and consume runs from any stack. Apify exposes a REST API plus first-party Node.js and Python SDKs.

• 🟩 Node.js SDK: see the JavaScript client docs for runActor, polling, and dataset streaming.
• 🐍 Python SDK: the Python client docs cover the same surface with idiomatic Python.
• 📚 API reference: the full Apify REST API lets you wire runs into any HTTP-capable system.

Schedule recurring catalog snapshots with Apify Schedules and feed deltas into your warehouse, BI tool, or alerting workflow. Daily, weekly, or monthly cadences are all easy to set up from the console.

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❓ Frequently Asked Questions

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🔌 Integrate with any app

Connect the Actor to whichever tools you already use. Apify Integrations cover the popular automation stack.

• Make - drag-and-drop workflows triggered by completed runs
• Zapier - push records into thousands of Zapier-supported apps
• Slack - post run summaries to a team channel
• Airbyte - stream datasets into Snowflake, BigQuery, or Postgres
• GitHub Actions - kick off runs from CI pipelines
• Google Drive - sync exports to a shared folder

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🔗 Recommended Actors

• 🥫 Sysco Food Service Scraper - the other broadline giant. Pair with this Actor for cross-distributor comparison.
• 🍳 CHEF'STORE Wholesale Food Price Scraper - cash-and-carry pricing across all CHEF'STORE locations.
• 📦 Uline Product Catalog Scraper - packaging, foodservice supplies, and operational consumables.
• 🛒 Costco Product Scraper - bulk retail comparison for restaurants and independent operators.
• 🐾 Chewy.com Product Scraper - structured product catalogs from large ecommerce surfaces.

💡 Pro Tip: browse the complete ParseForge collection for more foodservice and ecommerce data tools.

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🆘 Need Help? Stuck on input config or want a custom field added? Open our contact form and we will get back to you fast.

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⚠️ Disclaimer: this is an independent tool built by ParseForge. It is not affiliated with, endorsed by, or sponsored by US Foods Holding Corp. or any of its subsidiaries. Only publicly available data is collected.