Quora Scraper — Q&A, Profiles & Spaces

What does Quora Scraper do?

Quora Scraper extracts structured data from quora.com — questions, answers, profiles, posts, and Space pages, each with view counts, share counts, follower counts, author credentials, and creation timestamps. It supports keyword search and direct-URL input with controllable result limits, so you can run the same query consistently over time.

How to use this actor

• 👉 Register for a free Apify account — no credit card required.
• 🎉 Just click Sign up free on Apify → and complete a quick signup.
• 💰 A free Apify account includes $5 in monthly credits — enough to test this actor.
• ⏳ Scrape during the free trial, with no commitment or upfront payment required.

Key features

• 🧵 Questions, answers, profiles, posts and spaces — collect questions, answers, user profiles, standalone posts, and Space (community) pages in one actor. Every record carries a type field so downstream pipelines can split the five shapes cleanly.
• 💬 Question → full answer capture — turn on includeAnswers (default on) and every question found gets its answers pulled automatically — up to maxAnswersPerQuestion each — so you get full Q&A threads, not just question stubs.
• ♻️ Only-new-items mode — turn on onlyNewItems to emit only items that are new or whose content changed since your last run — repeat runs on the same search or URLs skip unchanged answers, posts, and profiles automatically.
• 🔗 Paste-mode — paste any Quora question, profile, or Space URL straight from your browser — mix freely with search keywords in the same run. A profile or Space URL pulls that person's or community's own answers and posts.
• 🎯 Batch searches — pass ["term1", "term2"] for searchQueries to batch multiple searches in one run — shared budget, single dataset, one Actor-Start charge instead of N.
• 📤 Export anywhere — Download the dataset as JSON, CSV, or Excel from the Apify Console, or stream live via the Apify API and integrations (Make, Zapier, Google Sheets, n8n, …).
• 🧹 Empty-field stripping — drop null, empty-string, and empty-array fields from each record before push. Smaller payloads for AI agents and dashboards that already handle missing fields gracefully.
• 🔌 MCP connectors — export your results into Notion via Apify's MCP connectors — a clean run-summary page, no glue code. Opt-in via the App connector field; deterministic field-mapping, no AI. Built on Apify's connector framework, so more destinations open up as their catalog grows.

What data can you extract from quora.com?

Each result includes Core listing fields (type, questionId, url, title, slug, followerCount, answerCount, and creationTime). All fields are always present — unavailable data points are returned as null, never omitted.

Input

Configure the actor through the input schema in Apify Console.

Key parameters:

• searchQueries — Search terms to scrape. Leave empty to scrape only the Start URLs below.
• resultTypes — Which Quora result types each search query should return. (default: ["question"])
• startUrls — Direct Quora question, profile, or space URLs to scrape.
• maxItems — Maximum number of results to return (0 = no limit). (default: 100)
• includeAnswers — For each question found, also scrape its answers. (default: true)
• maxAnswersPerQuestion — Cap on answers scraped per question. (default: 50)
• timeFilter — Restrict search results by recency. (default: "all_times")
• sortOrder — Search result ordering. (default: "relevance")
• onlyNewItems — On repeat runs, emit only items that are new or whose content changed since the last run. (default: false)
• excludeEmptyFields — Strip null, empty-string, and empty-array/object fields from each output item. (default: false)
• sessionCookie — Optional fallback for keyword search. If authentication is requested, log into quora.com, open DevTools (F12) → Network, reload, select a quora.com request, and copy the complete cookie request-header value (name=value; name=value; …). Start URLs for public pages do not require this field. Stored encrypted.
• appConnector — Optional. Pick a connected app under Settings → API & Integrations to receive your results. Best-effort across MCP connectors as Apify expands its catalog.

Input examples

Search questions and pull their answers — Find questions matching a keyword and auto-fetch each thread's answers.

→ Questions with nested answers, upvotes, view counts, and author credentials.

{
  "searchQueries": [
    "machine learning"
  ],
  "resultTypes": [
    "question"
  ],
  "maxItems": 100,
  "includeAnswers": true,
  "maxAnswersPerQuestion": 50,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}

Scrape specific Quora URLs — Paste question, profile, or Space URLs to scrape them directly, no search needed.

→ Each page's content with answers, view counts, share counts, and timestamps.

{
  "startUrls": [
    {
      "url": "https://www.quora.com/What-is-the-meaning-of-life"
    }
  ],
  "includeAnswers": true,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}

Output

Each run produces a dataset of structured listing records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example listing record

{
  "type": "question",
  "questionId": "2628",
  "url": "https://www.quora.com/How-do-I-learn-machine-learning-1",
  "title": "How do I learn machine learning?",
  "slug": "How-do-I-learn-machine-learning-1",
  "followerCount": 10765,
  "answerCount": 522,
  "creationTime": "2009-12-06T05:21:33.574Z"
}

How to scrape quora.com

1. Go to Quora Scraper in Apify Console.
2. Configure the input.
3. Set maxItems to control how many results you need.
4. Click Start and wait for the run to finish.
5. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract listing data from quora.com for market research and competitive analysis.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.

How much does it cost to scrape quora.com?

Quora Scraper uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.005 per run
• Per result: $0.0008 per listing record

Example costs:

• 10 results: $0.013
• 25 results: $0.025
• 100 results: $0.085
• 200 results: $0.17
• 500 results: $0.41

FAQ

How many results can I get from quora.com?

The number of results depends on the search query and available listings on quora.com. Use the maxItems parameter to control how many results are returned per run.

Can I integrate Quora Scraper with other apps?

Yes. Quora Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use Quora Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use Quora Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use excludeEmptyFields to keep payloads manageable for LLM context windows.

Is it legal to scrape quora.com?

This actor extracts publicly available data from quora.com. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

You might also like

• Reddit Email Scraper — Extract Emails from Posts & Comments — Extract email addresses and contact details from Reddit posts, comments and user profiles. Search.
• Reddit Lead Scraper — Emails, Socials & Contact Info — Turn Reddit into a B2B lead list. Keep only records that expose a contact signal — email, social.
• Reddit RAG Dataset — LLM Training Data from Posts & Comments — Build clean LLM and RAG datasets from Reddit. Export posts with full comment threads as.
• Reddit Scraper — Posts & Full Comment Threads — Scrape Reddit posts with full nested comment threads — or search any subreddit or keyword across.
• Reddit Sentiment Scraper — Analyze Posts & Comments — Scrape Reddit and score every post and comment for sentiment — positive, negative or neutral with a.
• Username OSINT Scraper — Find where a username exists across hundreds of social networks and websites. Every match is.
• YouTube Scraper $2/1K — Videos, Channels, Comments, Transcripts — Scrape YouTube videos, channels, comments, and transcripts in one tool — by keyword or by video,.

Getting started with Apify

New to Apify? Create a free account with $5 credit — no credit card required.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click Start — export results as JSON, CSV, or Excel

Need more later? See Apify pricing.