POST /api/energystar/products/search
Price: 20 credits
Search ENERGY STAR certified products within one certification category. Narrows by brand, model name and number, sub-type, certifying partner, UPC, the market a model is certified for, whether it meets the Most Efficient criteria, free text across the record, and exact or numeric bounds on any of the measured columns the category is certified on. Orders by any of those columns. Returns the full certification record for every match, with the measured performance figures under the programme's own column names.
One `product_category` per call — categories are separate datasets and their measured columns barely overlap, so `filters`, `min_values`, `max_values` and `sort` all take column names that only exist within the chosen one; call energystar/product_types first to read them. A column the category does not have is rejected rather than ignored, and `product_type` exists on only about half of them. Residential and commercial versions of the same appliance are different categories (residential_clothes_washers against commercial_clothes_washers), and heat pumps and central air conditioners share one very large category. Every value is text, so a numeric comparison has to go through `min_values` and `max_values` rather than `filters`. `market` matches a model certified for several markets, and almost the whole register is certified for the United States, so it separates usefully only for Canada and the smaller markets.
access-token string requiredtimeout integer — Max scrapping execution timeout (in seconds) (default: 300; min: 20; max: 1500)product_category string required — Certification category to search. Each category is a separate dataset with its own measured columns, and a search never spans more than one (one of: "boilers", "ceiling_fans", "commercial_boilers", "commercial_clothes_washers", "commercial_coffee_brewers", "commercial_dishwashers", "commercial_electric_cooktops", "commercial_fryers", "commercial_griddles", "commercial_hot_food_holding_cabinet", "commercial_ice_machines", "commercial_ovens", "commercial_refrigerators_and_freezers", "commercial_steam_cookers", "commercial_water_heaters", "computers_v9_0", "data_center_storage_block_i_o", "data_center_storage_file_i_o", "dehumidifiers", "displays", "electric_vehicle_supply_equipment_ac_output", "electric_vehicle_supply_equipment_dc_output", "enterprise_servers", "furnaces", "geothermal_heat_pumps", "heat_pumps", "imaging_equipment", "laboratory_grade_refrigerators_and_freezers", "large_network_equipment", "light_commercial_hvac", "light_fixtures_downlights", "medical_imaging_equipment", "pool_pumps", "residential_clothes_dryers", "residential_clothes_washers", "residential_dishwashers", "residential_electric_cooking_products", "residential_freezers", "residential_refrigerators", "room_air_cleaners_v3_0", "room_air_conditioners", "smart_thermostats", "storm_windows", "telephones", "televisions", "uninterruptible_power_supplies", "vending_machines", "ventilating_fans", "water_coolers", "water_heaters"; examples: "residential_clothes_washers", "heat_pumps", "displays")brand string nullable — Brand name, matched exactly (examples: "GE"; minLength: 1)model_name string nullable — Model name, matched exactly (minLength: 1)model_number string nullable — Model number, matched exactly (examples: "GTW490ACJ4WS"; minLength: 1)product_type string nullable — Sub-type within the category, matched exactly. About half the categories record a sub-type at all; the rest reject this field. energystar/product_types shows which, under columns (examples: "Printers", "Vented Gas"; minLength: 1)energy_star_partner string nullable — Certifying partner organisation, matched exactly (minLength: 1)upc string nullable — UPC barcode, matched exactly (minLength: 1)text string nullable — Free-text search across every column of the category (examples: "Beko"; minLength: 1)market string nullable — Keep models certified for this market. A model is often certified for several (one of: "United States", "Canada", "Taiwan", "Japan", "Switzerland", "Europe", "Australia", "New Zealand")most_efficient boolean nullable — Keep only models meeting the year's Most Efficient criteria, or only those that do not. Unset returns bothfilters object nullable — Exact-match filters on any column of the category, keyed by the certification programme's own column name. energystar/product_types lists the columns each category publishes, and a column the category does not have is rejected (examples: {"connected":"Yes","load_configuration":"Front Load"})* stringmin_values object nullable — Lower bounds on numeric columns of the category (examples: {"volume_cubic_feet":5})* numbermax_values object nullable — Upper bounds on numeric columns of the category (examples: {"annual_energy_use_kwh_year":120})* numbersort string nullable — Column of the category to order by. Unset orders by product id, which is what makes paging stable (examples: "annual_energy_use_kwh_year"; minLength: 1)order string — Direction for sort (default: "ASC"; one of: "ASC", "DESC")count integer required — Max number of results to return (min: 1; max: 150000)@type string (default: "EnergystarProduct")id string requiredproduct_category string nullableproduct_type string nullabledataset_id string nullabledataset_name string nullablebrand string nullablemodel_name string nullablemodel_number string nullableenergy_star_model_identifier string nullableenergy_star_partner string nullableadditional_model_information string nullableupc string nullablemarkets array (default: [])is_most_efficient boolean nullableavailable_on_market_date string nullablequalified_date string nullablecertified_date string nullableattributes object (default: {})422 — A column name the chosen product_category does not have. energystar/product_types lists them. Check the fields against this schema. A URN with the wrong prefix is the most common cause.408 — The request ran past its time limit Raise `timeout` in the request body, up to the maximum this endpoint documents. Lowering `count` or turning off the `with_*` flags also helps, because less work finishes sooner.412 — Nothing in that category matched the filters. Retrying will not help: either the entity does not exist, or the input points at a different one.429 — Too many requests: a rate limit or a usage window is exhausted When the response carries an X-Retry-After header, wait that many seconds and retry: the same number is in the body as `detail.retry_after`, and the limit clears once that window passes. The message in the body names the limit that was hit.500 — Something broke on our side Retrying will not help. If it keeps happening, send us the X-Request-ID from the response headers.529 — Rate limit reached, or the endpoint is overloaded Wait at least 30 seconds, then retry.X-Error — Error message text (present only on error)X-Request-ID — Unique request identifierX-Execution-Time — Execution time in secondsX-Result-Count — How many records the body carries. 0 means an empty result, which is a normal answer and not by itself an error. A non-zero count can come back together with X-Error when the failure happened partway through — read this header and X-Error independently.X-Total-Available-Results — How many records exist for this query, when the endpoint can say. On a `dry_run` request this is the answer and the body is empty. It saturates: the endpoint's documented maximum means 'at least that many', any smaller number is exact.X-Warning — Present when the request body carried keys this endpoint does not document. They were ignored, so any filter you meant to apply through them did not apply. Check the spelling against this schema and retry.X-Retry-After — Seconds to wait before retrying. Present only on 429.