# Leetcode Graphql Apify Actor (`euphoric_melody/leetcode-graphql-apify-actor`) Actor - **URL**: https://apify.com/euphoric\_melody/leetcode-graphql-apify-actor.md - **Developed by:** [Kapil](https://apify.com/euphoric_melody) (community) - **Categories:** Developer tools, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## LeetCode GraphQL Data Extractor (Apify Actor) This Apify actor extracts data from LeetCode by running targeted GraphQL queries directly against the `https://leetcode.com/graphql/` endpoint. ### What it does - Includes a catalog of over 70+ LeetCode GraphQL operations (from user profiles to question details). - Allows you to select **exactly which query** you want to run from a dropdown. - Accepts specific input parameters (like `username` or `titleSlug`) to customize the query. - Extracts the exact data requested and saves the raw JSON payload to the Apify dataset. ### How to use 1. **Select an Operation**: Choose the query you want to execute (e.g., `userPublicProfile`, `questionTitle`, `submissionList`). 2. **Provide Variables**: Provide the corresponding inputs for that query. - Example 1: If querying `userPublicProfile`, enter a valid LeetCode `username`. - Example 2: If querying `questionTitle`, enter the `titleSlug` (e.g., `two-sum`). 3. **Run the Actor**: The actor will fetch the data and push it into the dataset. ### Local Development 1. Install dependencies: - `npm install` 2. Configure your inputs in `storage/key_value_stores/default/INPUT.json`. 3. Run the actor: - `npm start` #### Example `INPUT.json` To extract the profile of a specific user: ```json { "operationName": "userPublicProfile", "username": "kapil-2305" } ```` To extract a question's details: ```json { "operationName": "questionTitle", "titleSlug": "two-sum" } ``` ### Output The result is pushed to the default dataset and includes: - The `operationName` and `variables` used. - The `data` property containing the raw JSON response from LeetCode. - Execution status and timings. # Actor input Schema ## `operationName` (type: `string`): Select the specific LeetCode GraphQL operation you want to run. ## `username` (type: `string`): The LeetCode username (required for user profile queries). ## `titleSlug` (type: `string`): The slug of the question (e.g. 'two-sum' or '3sum'). ## `limit` (type: `integer`): Number of results to return (used for lists like submissions). ## `offset` (type: `integer`): Starting index for pagination. ## `customVariables` (type: `object`): Any additional variables needed by the selected query in JSON format (e.g. {"year": 2023, "month": 7}). ## `endpoint` (type: `string`): LeetCode GraphQL endpoint. ## `headers` (type: `object`): Optional headers (like Cookie, x-csrftoken) needed for private mutations. ## Actor input object example ```json { "operationName": "questionTitle", "username": "user8162l", "titleSlug": "two-sum", "limit": 20, "customVariables": {}, "endpoint": "https://leetcode.com/graphql/", "headers": {} } ``` # Actor output Schema ## `results` (type: `string`): Contains the GraphQL data extracted from LeetCode. # 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 = { "username": "user8162l", "titleSlug": "two-sum", "limit": 20, "offset": 0, "customVariables": {}, "endpoint": "https://leetcode.com/graphql/", "headers": {} }; // Run the Actor and wait for it to finish const run = await client.actor("euphoric_melody/leetcode-graphql-apify-actor").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 = { "username": "user8162l", "titleSlug": "two-sum", "limit": 20, "offset": 0, "customVariables": {}, "endpoint": "https://leetcode.com/graphql/", "headers": {}, } # Run the Actor and wait for it to finish run = client.actor("euphoric_melody/leetcode-graphql-apify-actor").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 '{ "username": "user8162l", "titleSlug": "two-sum", "limit": 20, "offset": 0, "customVariables": {}, "endpoint": "https://leetcode.com/graphql/", "headers": {} }' | apify call euphoric_melody/leetcode-graphql-apify-actor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=euphoric_melody/leetcode-graphql-apify-actor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Leetcode Graphql Apify Actor", "version": "0.0", "x-build-id": "hkeRmbD13n7mR3e4s" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/euphoric_melody~leetcode-graphql-apify-actor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-euphoric_melody-leetcode-graphql-apify-actor", "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/euphoric_melody~leetcode-graphql-apify-actor/runs": { "post": { "operationId": "runs-sync-euphoric_melody-leetcode-graphql-apify-actor", "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/euphoric_melody~leetcode-graphql-apify-actor/run-sync": { "post": { "operationId": "run-sync-euphoric_melody-leetcode-graphql-apify-actor", "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": [ "operationName" ], "properties": { "operationName": { "title": "Operation to Execute", "enum": [ "globalData", "checkin", "codingChallengeMedal", "trendingDiscuss", "getDidCompleteUpc", "upcomingContests", "studyPlanV2RecentCompletedProgress", "tabsStatus", "questionTitle", "premiumQuestion", "SimilarQuestions", "singleQuestionTopicTags", "userCanSeeQuestion", "consolePanelConfig", "questionEditorData", "languageList", "SurveyV2", "qdFeatureGuide", "annualReport", "questionContent", "qdChallengeQuestion", "learningContextName", "getStreakCounter", "currentTimestamp", "questionOfToday", "questionHints", "userQuestionStatus", "userQuestionLike", "userFavorites", "questionStats", "userQuestionAdminUrls", "questionCompanyStats", "discussionTopic", "syncedCode", "enableAiHelper", "debuggerLanguageFeatures", "editorialMeta", "hasOfficialSolution", "submissionList", "submissionFilterTypes", "questionNote", "solutionTags", "communitySolutions", "officialSolution", "learningContext", "randomPanelQuestion", "panelQuestionList", "updateSyncedCode", "questionSubmissionList", "submissionDetails", "communitySolution", "solutionArticleInformation", "prevNextSolution", "intentionTags", "questionDiscussComments", "siteAnnouncements", "GetProblemSetStudyPlanAds", "problemsetQuestionList", "GetMyStudyPlan", "dailyCodingQuestionRecords", "upcOnboardingStatus", "timeTravelTicketInfo", "userSessionProgress", "userPublicProfile", "languageStats", "skillStats", "userContestRankingInfo", "userProblemsSolved", "userBadges", "userProfileCalendar", "recentAcSubmissions", "getUserProfile", "userProgressQuestionList" ], "type": "string", "description": "Select the specific LeetCode GraphQL operation you want to run.", "default": "questionTitle" }, "username": { "title": "Username", "type": "string", "description": "The LeetCode username (required for user profile queries)." }, "titleSlug": { "title": "Question Slug", "type": "string", "description": "The slug of the question (e.g. 'two-sum' or '3sum')." }, "limit": { "title": "Limit", "type": "integer", "description": "Number of results to return (used for lists like submissions)." }, "offset": { "title": "Offset", "type": "integer", "description": "Starting index for pagination." }, "customVariables": { "title": "Custom Variables (JSON)", "type": "object", "description": "Any additional variables needed by the selected query in JSON format (e.g. {\"year\": 2023, \"month\": 7})." }, "endpoint": { "title": "GraphQL endpoint URL", "type": "string", "description": "LeetCode GraphQL endpoint." }, "headers": { "title": "Custom headers (JSON object)", "type": "object", "description": "Optional headers (like Cookie, x-csrftoken) needed for private mutations." } } }, "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 } } } } } } } } } } ```