{ "openapi": "3.0.1", "info": { "title": "Quora Search Scraper: Answer Text & Upvote Ranking", "description": "πŸ”Ž Quora Search Scraper extracts search results, questions & insights from Quora fast. πŸš€ Perfect for market research, SEO/topic tracking, and lead generationβ€”turning Quora data into actionable intelligence. ⚑ Easy, efficient, and workflow-friendly.", "version": "0.1", "x-build-id": "t4JWlaaFsrJdWvdfx" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapio~quora-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapio-quora-search-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapio~quora-search-scraper/runs": { "post": { "operationId": "runs-sync-scrapio-quora-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapio~quora-search-scraper/run-sync": { "post": { "operationId": "run-sync-scrapio-quora-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "πŸ”Ž Search Keywords", "type": "array", "description": "Keywords to search on Quora. Each keyword discovers relevant Quora question URLs (via DuckDuckGo) and scrapes their answers. No Quora login needed. Example: \"what is python used for\".", "items": { "type": "string" } }, "directUrls": { "title": "πŸ”— Direct Quora URLs", "type": "array", "description": "Paste Quora URLs directly β€” questions ❓, profiles πŸ‘€, topics 🏷️ or spaces πŸͺ. Question URLs get the full answer-mining treatment. Supports bulk input (one per line).", "items": { "type": "string" } }, "maxResults": { "title": "🎯 Maximum Results", "minimum": 1, "maximum": 50000, "type": "integer", "description": "Total number of result rows to collect β€” across all keywords and URLs combined (questions + answers). Example: maxResults=60 stops after 60 rows. Default is 10.", "default": 10 }, "includeAnswers": { "title": "πŸ’¬ Include Answer Bodies", "type": "boolean", "description": "When on, each question is expanded into its answers (full text + metrics). Turn off to collect question metadata only. Default is on.", "default": true }, "answersPerQuestion": { "title": "πŸ“„ Answers Per Question", "minimum": 1, "maximum": 100, "type": "integer", "description": "How many answers to pull per question via deterministic cursor pagination (not scroll-and-hope). Example: answersPerQuestion=25 pulls up to 25 answers per question. 1–100. Default is 3.", "default": 3 }, "sortAnswersBy": { "title": "↕️ Sort Answers By", "enum": [ "relevance", "recency", "upvotes" ], "type": "string", "description": "Order answers within each question before ranking. Client-side sort of the collected answers (not a Quora server-side sort). Default is relevance (Quora's native order).", "default": "relevance" }, "minAnswerUpvotes": { "title": "πŸ‘ Minimum Answer Upvotes", "minimum": 0, "type": "integer", "description": "Drop answers with fewer upvotes than this. Example: minAnswerUpvotes=50 keeps only answers with 50+ upvotes. Default is 0 (keep all).", "default": 0 }, "aiEnhancement": { "title": "πŸ€– Enable AI Enrichment", "type": "boolean", "description": "Analyse each answer body with an LLM (summary + sentiment + key points). Requires an API key below or a provider env var. Default is off.", "default": false }, "aiModel": { "title": "🧠 AI Model / Provider", "enum": [ "claude-haiku-4-5", "claude-sonnet-5", "claude-opus-4-8", "claude-fable-5", "gpt-4o-mini", "gpt-4o", "gpt-4.1-mini", "gpt-4.1", "o3-mini", "o1", "gemini-2.0-flash-lite", "gemini-2.0-flash", "gemini-1.5-pro", "gemini-2.5-flash", "gemini-2.5-pro", "grok-2-latest", "grok-3-mini", "grok-3", "grok-beta", "deepseek-chat", "deepseek-reasoner", "sonar", "sonar-pro", "sonar-reasoning", "mistral-small-latest", "mistral-large-latest" ], "type": "string", "description": "Provider auto-detected from the name: claude-*=Anthropic, gpt-*/o1/o3=OpenAI, gemini-*=Google, grok-*=xAI, deepseek-*=DeepSeek, sonar*=Perplexity, mistral-*=Mistral. Cheaper mini/flash/haiku/lite models are recommended for this classification task.", "default": "claude-haiku-4-5" }, "aiApiKey": { "title": "πŸ”‘ AI API Key", "type": "string", "description": "API key for the chosen provider. If empty, the matching env var is used (ANTHROPIC_API_KEY / OPENAI_API_KEY / GEMINI_API_KEY / XAI_API_KEY / DEEPSEEK_API_KEY / PERPLEXITY_API_KEY / MISTRAL_API_KEY). Only used when AI Enrichment is on." }, "proxyConfiguration": { "title": "πŸ›‘οΈ Proxy", "type": "object", "description": "Optional Apify Proxy configuration used as the mid-tier (datacenter) network. Residential is applied automatically as the final fallback.", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } }