# World Openfoodfacts Productinfo Spider (`getdataforme/world-openfoodfacts-productinfo-spider`) Actor Extract detailed product information from Open Food Facts with high-quality data, efficient performance, and versatile output formats. Ideal for market research, competitive intelligence, and more, featuring a user-friendly interface and customizable parameters.... - **URL**: https://apify.com/getdataforme/world-openfoodfacts-productinfo-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, Automation, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. - **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use). - **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`. - **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`. - **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`. - **Any other language** — the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README *** ### PART 1: Generate README.md ## World Openfoodfacts Productinfo Spider The World Openfoodfacts Productinfo Spider is a powerful tool designed to extract detailed product information from the Open Food Facts database. It provides comprehensive data on food products, enabling users to analyze and utilize this information for various applications. ### Features - **Comprehensive Data Extraction**: Captures extensive details about food products. - **High-Quality Data**: Ensures reliable and accurate information retrieval. - **Efficient Performance**: Fast processing with minimal resource usage. - **User-Friendly Interface**: Easy configuration and execution. - **Versatile Output Formats**: Supports JSON, CSV, and Excel exports. ### Input Parameters Table | Parameter | Type | Required | Description | Example | |-----------------|---------|----------|-----------------------------------------------------------------------------|--------------------------| | `productCodes` | Array | Yes | List of product codes to extract information for. | `[ "12345", "67890" ]` | | `maxProducts` | Number | No | Maximum number of products to process. | `100` | | `timeout` | Number | No | Time in seconds before the request times out. | `30` | ### Example Usage ```json { "productCodes": ["12345", "67890"], "maxProducts": 100, "timeout": 30 } ``` **Example Output:** ```json { "data": { "items": [ { "product": { "code": "12345", "name": "Product Name", "brands": ["Brand A"], "categories": ["Category X"] } } ] } } ``` ### Use Cases - **Market Research and Analysis**: Gain insights into product trends. - **Competitive Intelligence**: Monitor competitor products. - **Price Monitoring**: Track pricing changes over time. - **Content Aggregation**: Compile data for content creation. - **Academic Research**: Support studies in food science. - **Business Automation**: Integrate with business processes. ### Installation and Usage 1. Search for "World Openfoodfacts Productinfo Spider" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters. 4. Click "Start" to begin extraction. 5. Monitor progress in the log. 6. Export results in your preferred format (JSON, CSV, Excel). ### Output Format The output data includes fields such as `productCode`, `productName`, `brands`, and `categories`. Each product entry provides detailed information extracted from Open Food Facts. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: [Contact Us](https://getdataforme.com/contact/) We're here to help you get the most out of this Actor! *** ### PART 2: Generate Description (STRICT: 280-295 characters ONLY) # Actor input Schema ## `Urls` (type: `array`): The urls for the spider. ## `item_limit` (type: `integer`): Maximum items to scrape per actor run. Set to 0 for no limit. ## Actor input object example ```json { "Urls": [ "https://world.openfoodfacts.org/product/6111242100992/perly-jaouda" ], "item_limit": 10 } ``` # Actor output Schema ## `results` (type: `string`): Scraped data items from dataset # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/world-openfoodfacts-productinfo-spider").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("getdataforme/world-openfoodfacts-productinfo-spider").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call getdataforme/world-openfoodfacts-productinfo-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/world-openfoodfacts-productinfo-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/AeKkta1hPdR6I9Yp8/builds/BstoT85xmKoDg3h5M/openapi.json