Quora Scraper
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Quora Scraper
Pricing
Pay per usage
Pricing
Pay per usage
Rating
0.0
(0)
Developer
BotFlowTech
Actor stats
0
Bookmarked
2
Total users
0
Monthly active users
7 days ago
Last modified
Categories
Share
You can access the Quora Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
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The scraper finds relevant questions for each keyword and extracts all data. Example: ['machine learning', 'startup funding']", "items": { "type": "string" } }, "directUrls": { "title": "Direct Quora URLs", "type": "array", "description": "Direct Quora URLs to scrape — supports question pages, user profiles, topic pages, and space pages. Example: https://www.quora.com/What-is-Python-used-for", "items": { "type": "string" } }, "contentTypes": { "title": "Content Types to Extract", "type": "array", "description": "Select which content types to extract. Leave empty for all types.", "items": { "type": "string", "enum": [ "questions", "answers", "profiles", "topics", "spaces" ], "enumTitles": [ "Questions (title, URL, topics, follower count)", "Answers (full text, author, upvotes, AI detection)", "User Profiles (bio, credentials, followers, stats)", "Topics (description, follower count, question count)", "Spaces (description, followers, post count)" ] }, "default": [ "questions", "answers" ] }, "maxResultsPerQuery": { "title": "Max Results Per Search Query", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of question pages to process per search keyword. Each question page yields 1 question + multiple answers.", "default": 10 }, "maxAnswersPerQuestion": { "title": "Max Answers Per Question", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of answers to extract from each question page. Set lower for faster runs.", "default": 20 }, "sortAnswersBy": { "title": "Sort Answers By", "enum": [ "relevance", "recency", "upvotes" ], "type": "string", "description": "How to sort answers on each question page before extraction.", "default": "relevance" }, "filterAiAnswers": { "title": "AI Answer Filter", "enum": [ "include", "exclude", "only" ], "type": "string", "description": "Filter AI-generated answers (Quora's AI bot answers).", "default": "include" }, "minUpvotes": { "title": "Minimum Upvotes", "minimum": 0, "type": "integer", "description": "Only extract answers with at least this many upvotes. Set to 0 for all answers.", "default": 0 }, "language": { "title": "Language", "enum": [ "en", "es", "fr", "de", "it", "pt", "ja", "hi", "id", "ar" ], "type": "string", "description": "Preferred language for Quora search results.", "default": "en" }, "includeHtmlContent": { "title": "Include HTML Content", "type": "boolean", "description": "Include raw HTML of answers alongside plain text. Useful for preserving formatting, images, and links.", "default": false }, "maxConcurrency": { "title": "Max Concurrency", "minimum": 1, "maximum": 20, "type": "integer", "description": "Maximum number of pages to process in parallel. Higher = faster but uses more memory. Recommended: 5-10.", "default": 5 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Residential proxy is strongly recommended for Quora to avoid blocks.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } }}OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for Quora Scraper from the options below:
If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.
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