Pricing

from $0.55 / 1,000 product scrapeds

Try for free

Go to Apify Store

Open Food Facts Scraper - Food Product & Nutrition Data

Try for free

Search Open Food Facts or look up barcodes and get clean food-product rows: name, brands, categories, Nutri-Score, NOVA group, Eco-Score, ingredients, allergens, additives and per-100g nutrition (energy, fat, sugars, salt, protein). No API key, no browser.

Pricing

from $0.55 / 1,000 product scrapeds

Rating

0.0

(0)

Developer

Scrape Sage

Actor stats

Bookmarked

Total users

Monthly active users

6 days ago

Last modified

Categories

E-commerce

Agents

Integrations

You can access the Open Food Facts Scraper - Food Product & Nutrition Data programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

{
  "openapi": "3.0.1",
  "info": {
    "version": "0.1",
    "x-build-id": "AP7T8yxVcaaZgKJGO"
  },
  "servers": [
    {
      "url": "https://api.apify.com/v2"
    }
  ],
  "paths": {
    "/acts/scrapesage~openfoodfacts-scraper/run-sync-get-dataset-items": {
      "post": {
        "operationId": "run-sync-get-dataset-items-scrapesage-openfoodfacts-scraper",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK"
          }
        }
      }
    },
    "/acts/scrapesage~openfoodfacts-scraper/runs": {
      "post": {
        "operationId": "runs-sync-scrapesage-openfoodfacts-scraper",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor and returns information about the initiated run in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/runsResponseSchema"
                }
              }
            }
          }
        }
      }
    },
    "/acts/scrapesage~openfoodfacts-scraper/run-sync": {
      "post": {
        "operationId": "run-sync-scrapesage-openfoodfacts-scraper",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK"
          }
        }
      }
    }
  },
  "components": {
    "schemas": {
      "inputSchema": {
        "type": "object",
        "properties": {
          "searchQueries": {
            "title": "Search terms",
            "type": "array",
            "description": "Food product terms to search for, one per line - e.g. <code>nutella</code>, <code>oat milk</code>, <code>greek yogurt</code>. <b>Leave empty and the run returns a small free sample.</b>",
            "items": {
              "type": "string"
            }
          },
          "barcodes": {
            "title": "Barcodes (exact lookup)",
            "type": "array",
            "description": "Specific product barcodes (EAN/UPC) to look up exactly, one per line - e.g. <code>3017620422003</code>.",
            "items": {
              "type": "string"
            }
          },
          "searchQueriesFromFile": {
            "title": "Import terms or barcodes from a file",
            "type": "string",
            "description": "Bulk-load search terms or barcodes (auto-detected). Either <b>paste the whole list</b> (one per line), or give <b>a single link</b> to a public <code>.txt</code>/<code>.csv</code>, a Google Sheet/Drive link, or an Apify key-value-store record. A file that cannot be read says so and charges nothing."
          },
          "maxItemsPerQuery": {
            "title": "Max products per search term",
            "minimum": 1,
            "type": "integer",
            "description": "How many products to collect for each search term.",
            "default": 50
          },
          "maxItems": {
            "title": "Max products (total)",
            "minimum": 1,
            "type": "integer",
            "description": "Overall cap across all searches and barcodes. You are only charged for products actually saved.",
            "default": 1000
          },
          "outputFields": {
            "title": "Output fields (leave empty for all)",
            "type": "array",
            "description": "Pick the fields you want and every record is trimmed to exactly those - handy for lean CSV/Sheets exports.",
            "items": {
              "type": "string",
              "enum": [
                "type",
                "code",
                "productName",
                "brands",
                "quantity",
                "categories",
                "labels",
                "countries",
                "stores",
                "nutriscoreGrade",
                "novaGroup",
                "ecoscoreGrade",
                "ingredientsText",
                "allergens",
                "additives",
                "energyKcal100g",
                "fat100g",
                "saturatedFat100g",
                "sugars100g",
                "salt100g",
                "proteins100g",
                "fiber100g",
                "imageUrl",
                "url",
                "source",
                "searchQuery",
                "scrapedAt"
              ],
              "enumTitles": [
                "Record type (type)",
                "Barcode (code)",
                "Product name (productName)",
                "Brands (brands)",
                "Quantity (quantity)",
                "Categories (categories)",
                "Labels (labels)",
                "Countries (countries)",
                "Stores (stores)",
                "Nutri-Score (nutriscoreGrade)",
                "NOVA group (novaGroup)",
                "Eco-Score (ecoscoreGrade)",
                "Ingredients (ingredientsText)",
                "Allergens (allergens)",
                "Additives (additives)",
                "Energy kcal/100g (energyKcal100g)",
                "Fat /100g (fat100g)",
                "Saturated fat /100g (saturatedFat100g)",
                "Sugars /100g (sugars100g)",
                "Salt /100g (salt100g)",
                "Proteins /100g (proteins100g)",
                "Fiber /100g (fiber100g)",
                "Image URL (imageUrl)",
                "Product URL (url)",
                "Source (source)",
                "Search query (searchQuery)",
                "Scraped at (scrapedAt)"
              ]
            }
          }
        }
      },
      "runsResponseSchema": {
        "type": "object",
        "properties": {
          "data": {
            "type": "object",
            "properties": {
              "id": {
                "type": "string"
              },
              "actId": {
                "type": "string"
              },
              "userId": {
                "type": "string"
              },
              "startedAt": {
                "type": "string",
                "format": "date-time",
                "example": "2025-01-08T00:00:00.000Z"
              },
              "finishedAt": {
                "type": "string",
                "format": "date-time",
                "example": "2025-01-08T00:00:00.000Z"
              },
              "status": {
                "type": "string",
                "example": "READY"
              },
              "meta": {
                "type": "object",
                "properties": {
                  "origin": {
                    "type": "string",
                    "example": "API"
                  },
                  "userAgent": {
                    "type": "string"
                  }
                }
              },
              "stats": {
                "type": "object",
                "properties": {
                  "inputBodyLen": {
                    "type": "integer",
                    "example": 2000
                  },
                  "rebootCount": {
                    "type": "integer",
                    "example": 0
                  },
                  "restartCount": {
                    "type": "integer",
                    "example": 0
                  },
                  "resurrectCount": {
                    "type": "integer",
                    "example": 0
                  },
                  "computeUnits": {
                    "type": "integer",
                    "example": 0
                  }
                }
              },
              "options": {
                "type": "object",
                "properties": {
                  "build": {
                    "type": "string",
                    "example": "latest"
                  },
                  "timeoutSecs": {
                    "type": "integer",
                    "example": 300
                  },
                  "memoryMbytes": {
                    "type": "integer",
                    "example": 1024
                  },
                  "diskMbytes": {
                    "type": "integer",
                    "example": 2048
                  }
                }
              },
              "buildId": {
                "type": "string"
              },
              "defaultKeyValueStoreId": {
                "type": "string"
              },
              "defaultDatasetId": {
                "type": "string"
              },
              "defaultRequestQueueId": {
                "type": "string"
              },
              "buildNumber": {
                "type": "string",
                "example": "1.0.0"
              },
              "containerUrl": {
                "type": "string"
              },
              "usage": {
                "type": "object",
                "properties": {
                  "ACTOR_COMPUTE_UNITS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_WRITES": {
                    "type": "integer",
                    "example": 1
                  },
                  "KEY_VALUE_STORE_LISTS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_INTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_SERPS": {
                    "type": "integer",
                    "example": 0
                  }
                }
              },
              "usageTotalUsd": {
                "type": "number",
                "example": 0.00005
              },
              "usageUsd": {
                "type": "object",
                "properties": {
                  "ACTOR_COMPUTE_UNITS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_WRITES": {
                    "type": "number",
                    "example": 0.00005
                  },
                  "KEY_VALUE_STORE_LISTS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_INTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_SERPS": {
                    "type": "integer",
                    "example": 0
                  }
                }
              }
            }
          }
        }
      }
    }
  }
}

Open Food Facts Scraper - Nutrition & Barcode Data OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for Open Food Facts Scraper - Food Product & Nutrition Data from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

Open Food Facts Scraper - Food Product & Nutrition Data API in Python

Open Food Facts Scraper - Food Product & Nutrition Data API in JavaScript

Open Food Facts Scraper - Food Product & Nutrition Data API through CLI

Open Food Facts Scraper - Food Product & Nutrition Data API

Open Food Facts Product Scraper

hipersoft/openfoodfacts-scraper

Search Open Food Facts or look up barcodes for food product data: name, brand, categories, Nutri-Score, NOVA, Eco-Score, ingredients, allergens, additives, labels and full per-100g nutrition (energy, fat, sugars, salt, protein, carbs, fibre). For nutrition apps, retail and CPG research. No setup.

hiper soft

Open Food Facts Extractor

cynix_dev/open-food-facts

Search and extract food-product data from Open Food Facts as clean typed JSON: name, brand, ingredients, allergens, nutrition (energy/fat/sugars/salt/protein), Nutri-Score, NOVA, Eco-Score, labels, image and source URL. No API key required.

Cynix Dev

Open Food Facts — Product & Nutrition Data by Barcode

omao/openfoodfacts

Look up food products by barcode and get clean JSON: name, brand, quantity, Nutri-Score, NOVA group, Eco-Score, ingredients, allergens and per-100g nutrition (calories, fat, sugar, protein, salt). Powered by Open Food Facts. No API key.

Marouane Oulabass

Food Product Scraper: Nutrition, Allergens & Nutri-Score

glitchbound/foodfacts-scraper

Look up any packaged food by barcode, brand or category: ingredients, allergens, additives, nutrition per 100 g, Nutri-Score, NOVA processing group and Eco-Score. Open crowd-sourced data from Open Food Facts, no key.

Daniel Meshulam

Food Products Scraper — Nutrition, Ingredients & Labels

thriftykiwi/food-products-scraper

Search 3M+ food products from Open Food Facts: brands, ingredients, nutrition per 100g, Nutri-Score, NOVA group, additives. Free API, no API key required.

Thrifty Kiwi

Open Food Facts Product Lookup

vigilant_jasmine/open-food-facts-product-lookup

Look up food products by barcode (EAN/UPC) via Open Food Facts: name, brand, Nutri-Score, NOVA group, Eco-Score, ingredients, allergens and nutrition facts. Free.

DEV DEV

Open Food Facts Product Lookup — Ingredients & Nutri-Score API

accountable_eel/openfoodfacts-product-lookup

Look up food products by barcode against Open Food Facts' free, crowdsourced database of 3M+ products. Get name, brand, ingredients, allergens, Nutri-Score, Eco-Score, NOVA group, and per-100g nutrition facts. Pay only for barcodes that resolve.

Adrian Voss

Food & Nutrition Scraper (Open Food Facts)

ponderable_hydrometer/openfoodfacts-scraper

Get food & nutrition data from Open Food Facts — barcode, keyword or category. Brand, Nutri-Score, NOVA, ingredients, per-100g nutrients. Free, keyless, no proxies.

Ponderable Hydrometer

Open Food Facts Scraper

leorochasantos/open-food-facts

Search Open Food Facts by product name or look up any EAN barcode. Returns nutrition facts, Nutri-Score, NOVA group, Eco-Score, ingredients, and categories — one flat typed row per product.

Leonardo Santos

Open Food Facts Nutrition Normalizer

wakey7dev/open-food-facts-normalizer

Search global Open Food Facts products with normalized brands, categories, allergens, nutrition per 100g, Nutri-Score, NOVA processing groups, and deduplicated barcodes.