ENERGY STAR Certified Products & Manufacturers Scraper

This ENERGY STAR certified products scraper turns the EPA's official ENERGY STAR Model Index into clean product and supplier lists: pick a category such as Commercial Ice Machines, Commercial Refrigerators and Freezers, Heat Pumps, Displays or Furnaces, add brand or model words, and get one row per certified model with the manufacturer, brand, model name and number, product type, certification date, markets (US, Canada, Japan, Taiwan, Switzerland), Most Efficient flag and UPC where filed.

Use it as an ENERGY STAR product finder API, a certified manufacturer list for sourcing and procurement, a new-certification monitor (which makers certified new models this month), a rebate eligibility list for utilities and retailers, or a competitor line-up tracker, from your own code, Make, Zapier, n8n or an AI agent.

It reads the public ENERGY STAR open-data API (data.energystar.gov), with no browser and no login. The prefilled demo returns 20 rows in a few seconds. $0.50 per 1,000 results, no start fee.

What goes in: product categories, optional search words (matched on model name, model number, brand and manufacturer), manufacturer and brand names, markets, a certified-after date, a Most Efficient switch. What comes out: one row per certified model, or one row per manufacturer + brand + category with a switch. When to use it: you need to know who makes certified equipment of a type, under which brands, which models, and since when.

What it does not have: no prices, no minimum order quantities, no e-mails and no phone numbers. It is a certification list, not a catalogue.

What you get

• Supplier: ENERGY STAR partner (manufacturer or brand owner) and brand name.
• Model: model name, model number (variants shown with *), product type, additional model information, UPC when filed, ENERGY STAR ID and long model identifier.
• Certification: date certified, date available on the market, markets, Most Efficient flag.
• Supplier mode (optional switch): one row per manufacturer + brand + category with the number of certified models, how many meet Most Efficient, and the first and newest certification dates, biggest line-ups first.

Size of the index on 6 November 2026: about 1.8 million certified model rows from 1,198 partners in 47 categories (central air conditioners and air source heat pumps alone hold about 1.75 million model combinations; most other categories have a few hundred to a few thousand). Fill rates in a 1,834-row test (all commercial refrigerators and freezers, 51 makers): manufacturer, brand, model name and number, type, certification date and markets 100%; additional model information 27%. UPC is filed on only about 12,000 rows in the whole index.

Sample output

Real rows from the prefilled run (Commercial Ice Machines, newest first, 6 November 2026):

manufacturer	brand	model	model number	certified	markets	Most Efficient
Hoshizaki America, Inc.	Hoshizaki	KM-522MAK	KM-522MAK	2025-11-20	United States, Canada	no
Hoshizaki America, Inc.	Hoshizaki	F-822MAK	F-822MAK	2025-11-20	United States, Canada	no
Hoshizaki America, Inc.	Hoshizaki	F-330BAK	F-330BAK	2025-11-20	United States, Canada	no
Hoshizaki America, Inc.	Hoshizaki	C-80BAK	C-80BAK-ADDS	2025-11-20	United States, Canada	no

Supplier mode (Displays, word dell, Japan market): Dell Inc. / DELL / Displays, 116 certified models, 2 Most Efficient, first certified 2019-07-15, newest 2025-09-11.

Use cases

• Supplier sourcing and procurement: every certified maker of commercial kitchen equipment, HVAC, IT or appliances, with their brands
• Utility rebate and incentive programs: export the certified model numbers of a category for eligibility checks
• Retail and distribution: which brands and models in a category are certified, and which are Most Efficient
• Competitor tracking: schedule a run with "Certified on or after" to see new models from rivals
• Lead generation for suppliers to manufacturers: lists of equipment makers per category (company data only)

Pricing

$0.50 per 1,000 results (pay per result, $0.0005 each), no start fee, platform usage included. A result is one row saved to your dataset. Searches that find nothing, duplicates and failed requests are never charged. Set Max results per search to cap the cost of a run.

The data comes from a free public API. You pay for the ready rows, the filters and the supplier mode, not for access. If you prefer, query the API yourself.

No Apify Store actor covered the ENERGY STAR product lists in the 21 October 2026 Store snapshot.

FAQ

Where does the data come from? The ENERGY STAR Model Index on data.energystar.gov, published by the U.S. Environmental Protection Agency. It is U.S. government data. ENERGY STAR and the ENERGY STAR mark are registered trademarks of the EPA; this actor is not affiliated with or endorsed by the EPA and uses the name only to say where the data comes from. The portal runs on Tyler Technologies' open-data platform; the actor follows the portal's robots.txt (one request a second).

How fresh is it? Each run queries the live API. On 6 November 2026 the index was updated the same day.

Why are there so many heat pump rows? Central air conditioners and heat pumps are certified as combinations of outdoor and indoor units, so one product family gives many rows. Use filters or the supplier switch for that category.

Does it include phone numbers or e-mails? No. Only company, brand and model data.

How are search words matched? Each word or phrase is matched anywhere in the model name, model number, brand or manufacturer, ignoring case. Each search word runs as its own search, so Hoshizaki and Manitowoc give two lists.

Can I get the detailed specs (kWh, capacity)? Not in this version: specs live in a separate dataset per category with different columns. The model number and ENERGY STAR ID let you join them.

Known gaps: the "manufacturer" is the ENERGY STAR partner that certified the model, which can be a brand owner rather than the factory; model numbers with * cover several variants; dates are as filed; no prices or MOQs.

How to use

1. Open the actor and pick one or more categories, e.g. Commercial Ice Machines.
2. Optional: add search words, manufacturer or brand names, markets or a certified-after date.
3. Set Max results per search (start with 20). Turn on One row per supplier for a supplier list.
4. Click Start, then export the dataset as CSV, Excel or JSON.

Input

Field	What it does
categories	ENERGY STAR product categories (47). Empty = all.
searchTerms	Words on model name / number, brand, manufacturer; each runs as its own search.
manufacturers, brands	Keep rows whose manufacturer or brand contains one of these.
markets	United States, Canada, Japan, Taiwan, Switzerland.
certifiedAfter	Certified on or after this date (YYYY-MM-DD).
mostEfficientOnly	Only Most Efficient models.
uniqueSuppliers	One row per manufacturer + brand + category instead of per model.
maxResultsPerSearch	Rows per search, newest first; 0 = all.

Invalid values are ignored and listed in the run summary. A filter where no value is valid stops the run instead of widening the search.

Input example

{
    "categories": ["Commercial Refrigerators and Freezers", "Commercial Ice Machines"],
    "markets": ["Canada"],
    "certifiedAfter": "2025-01-01",
    "uniqueSuppliers": true,
    "maxResultsPerSearch": 500
}

Output example

One real row from the prefilled run (6 November 2026):

{
    "rowType": "model",
    "manufacturer": "Hoshizaki America, Inc.",
    "brand": "Hoshizaki",
    "category": "Commercial Ice Machines",
    "energyStarId": "4515288",
    "modelName": "KM-522MAK",
    "modelNumber": "KM-522MAK",
    "productType": "Commercial Ice Machines",
    "additionalModelInfo": null,
    "upc": null,
    "dateAvailableOnMarket": "2025-11-01",
    "dateCertified": "2025-11-20",
    "markets": ["United States", "Canada"],
    "mostEfficient": false,
    "energyStarModelIdentifier": "ES_1003024_KM-522MAK_11122025003156_08217992327",
    "modelCount": null,
    "mostEfficientCount": null,
    "firstCertified": null,
    "latestCertified": null,
    "searchTerm": null,
    "position": 1,
    "scrapedAt": "2026-11-06T18:31:32.954Z"
}

A RUN_SUMMARY record in the key-value store lists, per search, how many rows were saved, why the search stopped and any input that was ignored.

Integrations

Export the dataset as JSON, CSV, Excel, XML or HTML, or pull it with the Apify API and the JavaScript / Python clients. Connect it to Make, Zapier, n8n, Google Sheets, HubSpot or Slack with Apify integrations and webhooks, schedule it with certifiedAfter to catch new models, or let an AI agent call it through the Apify MCP server.

Need a custom scraper or a ready dataset? Hire me on Fiverr: https://www.fiverr.com/rel8ble