# LEGO Scraper — Sets, Parts & Minifigs (`ponderable_hydrometer/lego-scraper`) Actor Scrape LEGO set, part and minifig data via the Rebrickable API. Search by keyword, theme or year, with full part inventories. Bring your own free key. - **URL**: https://apify.com/ponderable\_hydrometer/lego-scraper.md - **Developed by:** [Ponderable Hydrometer](https://apify.com/ponderable_hydrometer) (community) - **Categories:** E-commerce, Developer tools, Automation - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 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 a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md). If your project is in a different language, use 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 ## LEGO Catalogue Scraper (Rebrickable) Pull structured **LEGO** catalogue data — sets, part inventories and minifigs — via the Rebrickable API. Search sets by keyword, theme or year, or look up specific set numbers, and get clean structured data in bulk. > **Bring your own key.** This actor uses the official Rebrickable API, which needs a **free > API key** (rebrickable.com → Account → Settings → API). You enter your key in the input; > it's stored as a secret. ### Who it's for - **Collectors & AFOLs** — export set and part data for inventory and wishlists. - **MOC builders** — pull full part lists for sets you're parting out or rebuilding. - **Resellers** — bulk set/part data for listings and part-out planning. - **Apps & pipelines** — structured LEGO catalogue data with no API plumbing. ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `apiKey` | string (secret) | — (required) | Your free Rebrickable API key | | `searchTerms` | array | — | Keywords to search sets (e.g. `millennium falcon`) | | `setNumbers` | array | — | Specific set numbers (`10341`, `75192-1`) | | `themeId` | integer | — | Optional theme filter | | `minYear` / `maxYear` | integer | — | Optional release-year range | | `includeParts` | boolean | `false` | Embed the full part inventory per set | | `includeMinifigs` | boolean | `false` | Embed the minifigs per set | | `maxSetsPerSearch` | integer | `50` | Sets returned per search term | | `maxParts` | integer | `1000` | Cap on parts per set | Provide at least one of `searchTerms` or `setNumbers`. ### Output One row per set: ```json { "setNum": "10341-1", "name": "NASA Artemis Space Launch System", "year": 2024, "themeId": 171, "numParts": 3601, "image": "https://cdn.rebrickable.com/media/sets/10341-1/…", "url": "https://rebrickable.com/sets/10341-1/…", "parts": [ { "partNum": "3001", "name": "Brick 2 x 4", "color": "White", "quantity": 6, "image": "…" } ], "minifigs": [ { "figNum": "fig-…", "name": "…", "quantity": 1 } ] } ```` `parts` / `minifigs` are present only when their options are enabled. ### Notes & limits - Data is the Rebrickable **catalogue** (sets, parts, minifigs). It does **not** include retail or secondary-market prices — those aren't available from a clean public API. - Rebrickable enforces per-key rate limits; large part-inventory pulls are paginated. - Public catalogue data used under Rebrickable's API terms; you are responsible for compliant use of your key and the output. # Actor input Schema ## `apiKey` (type: `string`): Your free Rebrickable API key (rebrickable.com → Account → Settings → API). ## `searchTerms` (type: `array`): Keywords to search LEGO sets by name. Example: "millennium falcon". ## `setNumbers` (type: `array`): Specific set numbers to look up (the "-1" suffix is added if omitted). Example: "10341", "75192-1". ## `themeId` (type: `integer`): Optional Rebrickable theme id to filter searches. ## `minYear` (type: `integer`): Optional earliest release year. ## `maxYear` (type: `integer`): Optional latest release year. ## `includeParts` (type: `boolean`): Also fetch the full part list for each set (embedded per set). ## `includeMinifigs` (type: `boolean`): Also fetch the minifigs for each set. ## `maxSetsPerSearch` (type: `integer`): How many matching sets to return per search term. ## `maxParts` (type: `integer`): Cap on parts fetched per set when 'Include part inventory' is on. ## Actor input object example ```json { "searchTerms": [ "millennium falcon" ], "includeParts": false, "includeMinifigs": false, "maxSetsPerSearch": 50, "maxParts": 1000 } ``` # 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 = { "searchTerms": [ "millennium falcon" ] }; // Run the Actor and wait for it to finish const run = await client.actor("ponderable_hydrometer/lego-scraper").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 = { "searchTerms": ["millennium falcon"] } # Run the Actor and wait for it to finish run = client.actor("ponderable_hydrometer/lego-scraper").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 '{ "searchTerms": [ "millennium falcon" ] }' | apify call ponderable_hydrometer/lego-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ponderable_hydrometer/lego-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LEGO Scraper — Sets, Parts & Minifigs", "description": "Scrape LEGO set, part and minifig data via the Rebrickable API. Search by keyword, theme or year, with full part inventories. Bring your own free key.", "version": "0.1", "x-build-id": "kOejLYXgFarYcO6v1" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ponderable_hydrometer~lego-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ponderable_hydrometer-lego-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/ponderable_hydrometer~lego-scraper/runs": { "post": { "operationId": "runs-sync-ponderable_hydrometer-lego-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/ponderable_hydrometer~lego-scraper/run-sync": { "post": { "operationId": "run-sync-ponderable_hydrometer-lego-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "apiKey" ], "properties": { "apiKey": { "title": "Rebrickable API key", "type": "string", "description": "Your free Rebrickable API key (rebrickable.com → Account → Settings → API)." }, "searchTerms": { "title": "Search terms", "type": "array", "description": "Keywords to search LEGO sets by name. Example: \"millennium falcon\".", "items": { "type": "string" } }, "setNumbers": { "title": "Set numbers", "type": "array", "description": "Specific set numbers to look up (the \"-1\" suffix is added if omitted). Example: \"10341\", \"75192-1\".", "items": { "type": "string" } }, "themeId": { "title": "Theme id", "type": "integer", "description": "Optional Rebrickable theme id to filter searches." }, "minYear": { "title": "Min year", "type": "integer", "description": "Optional earliest release year." }, "maxYear": { "title": "Max year", "type": "integer", "description": "Optional latest release year." }, "includeParts": { "title": "Include part inventory", "type": "boolean", "description": "Also fetch the full part list for each set (embedded per set).", "default": false }, "includeMinifigs": { "title": "Include minifigs", "type": "boolean", "description": "Also fetch the minifigs for each set.", "default": false }, "maxSetsPerSearch": { "title": "Max sets per search term", "minimum": 1, "type": "integer", "description": "How many matching sets to return per search term.", "default": 50 }, "maxParts": { "title": "Max parts per set", "minimum": 1, "type": "integer", "description": "Cap on parts fetched per set when 'Include part inventory' is on.", "default": 1000 } } }, "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 } } } } } } } } } } ```