# EDHREC MTG Commander Meta Scraper (`jungle_synthesizer/edhrec-mtg-commander-meta-scraper`) Actor Scrape EDHREC commander meta: inclusion rates, synergy scores, top cards, and average decklists for any Commander (EDH) commander or card. Commander and card-centric modes. Uses the open json.edhrec.com API — no key required. - **URL**: https://apify.com/jungle\_synthesizer/edhrec-mtg-commander-meta-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Games, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.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/platform/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 ## EDHREC MTG Commander Meta Scraper Scrape commander meta-data from [EDHREC](https://edhrec.com) — the canonical resource for Commander (EDH) format strategy. Uses the open `json.edhrec.com` API. No API key required. ### What you get **Commander mode** (default): For each commander in the selected time period, the actor returns: | Field | Description | |-------|-------------| | `commander_name` | Full card name | | `commander_slug` | URL-safe slug (e.g. `the-ur-dragon`) | | `commander_url` | EDHREC page URL | | `color_identity` | Color identity string (e.g. `WUBRG`, `UB`, `G`) | | `num_decks` | Number of tracked decks running this commander | | `rank` | Commander ranking in the selected period | | `salt_score` | Community salt score (how annoying to play against) | | `top_cards` | JSON array — top cards by inclusion with synergy scores | | `high_synergy_cards` | JSON array — cards with highest synergy for this commander | | `new_cards` | JSON array — newly trending cards for this commander | | `average_decklist` | JSON array — average decklist grouped by card type | **Card mode**: For each card slug, the actor returns inclusion rates, potential decks, synergy score, salt score, and top commanders running the card. ### Input ```json { "mode": "commander", "timePeriod": "year", "maxItems": 100 } ```` #### Parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `mode` | string | `commander` | `commander` — list+detail crawl; `card` — card-centric lookup | | `timePeriod` | string | `year` | `year`, `past6months`, `past3months`, `newcommanders` | | `commanderSlugs` | array | `[]` | Specific commander slugs (empty = full list) | | `cardSlugs` | array | `[]` | Card slugs for card mode (e.g. `["sol-ring", "farseek"]`) | | `maxItems` | integer | `15` | Maximum records to return | ### Example output (commander mode) ```json { "record_type": "commander", "commander_name": "The Ur-Dragon", "commander_slug": "the-ur-dragon", "commander_url": "https://edhrec.com/commanders/the-ur-dragon", "color_identity": "WUBRG", "num_decks": 47307, "rank": 1, "salt_score": 1.9667, "top_cards": "[{\"name\":\"Farseek\",\"sanitized\":\"farseek\",...}]", "high_synergy_cards": "[{\"name\":\"Miirym, Sentinel Wyrm\",...}]", "new_cards": "[{\"name\":\"Witherbloom, the Balancer\",...}]", "average_decklist": "[{\"category\":\"Creatures\",\"cards\":[...]}]" } ``` ### Use cases - **Card price tracking** — inclusion rate spikes on EDHREC signal buying pressure on TCGPlayer/CardKingdom - **Deck-builder apps** — seed recommendations with EDHREC synergy and top-card data - **Commander format analytics** — track meta shifts across time periods - **Content creation** — identify trending commanders and high-synergy combos for articles/videos ### Notes - Open API, no authentication required - No proxy needed — datacenter IPs accepted - Rate limited to 5 requests/second (polite default) - Data updates daily on EDHREC's end # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `mode` (type: `string`): Scraping mode. "commander" (default) — paginate the top-commanders list and fetch detail for each. "card" — look up EDHREC card pages for given card slugs. ## `commanderSlugs` (type: `array`): Commander URL slugs to scrape (e.g. "the-ur-dragon", "atraxa-praetors-voice"). Leave empty to scrape the full top-commanders list. Only used in commander mode. ## `cardSlugs` (type: `array`): Card URL slugs to look up (e.g. "sol-ring", "farseek"). Required when mode is "card". ## `timePeriod` (type: `string`): Time-period filter for commander listing. Options: "year" (past 2 years, default), "past6months", "past3months", "newcommanders". ## `maxItems` (type: `integer`): Maximum number of records to return. ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "mode": "commander", "commanderSlugs": [], "cardSlugs": [], "timePeriod": "year", "maxItems": 15 } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "mode": "commander", "commanderSlugs": [], "cardSlugs": [], "timePeriod": "year", "maxItems": 15 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/edhrec-mtg-commander-meta-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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "mode": "commander", "commanderSlugs": [], "cardSlugs": [], "timePeriod": "year", "maxItems": 15, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/edhrec-mtg-commander-meta-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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "mode": "commander", "commanderSlugs": [], "cardSlugs": [], "timePeriod": "year", "maxItems": 15 }' | apify call jungle_synthesizer/edhrec-mtg-commander-meta-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/edhrec-mtg-commander-meta-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "EDHREC MTG Commander Meta Scraper", "description": "Scrape EDHREC commander meta: inclusion rates, synergy scores, top cards, and average decklists for any Commander (EDH) commander or card. Commander and card-centric modes. Uses the open json.edhrec.com API — no key required.", "version": "0.1", "x-build-id": "hz77YbIerM4jXl2qU" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~edhrec-mtg-commander-meta-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-edhrec-mtg-commander-meta-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/jungle_synthesizer~edhrec-mtg-commander-meta-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-edhrec-mtg-commander-meta-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/jungle_synthesizer~edhrec-mtg-commander-meta-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-edhrec-mtg-commander-meta-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": [ "maxItems" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "mode": { "title": "Mode", "enum": [ "commander", "card" ], "type": "string", "description": "Scraping mode. \"commander\" (default) — paginate the top-commanders list and fetch detail for each. \"card\" — look up EDHREC card pages for given card slugs.", "default": "commander" }, "commanderSlugs": { "title": "Commander Slugs", "type": "array", "description": "Commander URL slugs to scrape (e.g. \"the-ur-dragon\", \"atraxa-praetors-voice\"). Leave empty to scrape the full top-commanders list. Only used in commander mode.", "items": { "type": "string" } }, "cardSlugs": { "title": "Card Slugs", "type": "array", "description": "Card URL slugs to look up (e.g. \"sol-ring\", \"farseek\"). Required when mode is \"card\".", "items": { "type": "string" } }, "timePeriod": { "title": "Time Period", "enum": [ "year", "past6months", "past3months", "newcommanders" ], "type": "string", "description": "Time-period filter for commander listing. Options: \"year\" (past 2 years, default), \"past6months\", \"past3months\", \"newcommanders\".", "default": "year" }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 50000, "type": "integer", "description": "Maximum number of records to return.", "default": 15 } } }, "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 } } } } } } } } } } ```