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Quora Scraper

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Pay per event

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Quora Scraper

Quora Scraper

Extract Quora questions, answers, and user profiles. Search by keyword or scrape specific URLs. Gets answer text, author info, topics, and vote counts.

Pricing

Pay per event

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Developer

Stas Persiianenko

Stas Persiianenko

Maintained by Community

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0

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6

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4

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5 days ago

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Extract questions, answers, topics, and user profiles from Quora.com — no API key, no login required. Get question titles, full answer text, author info, upvotes, and engagement metrics in JSON, CSV, or Excel format.

Use it to monitor expert knowledge, conduct Q&A research, track topic trends, and build datasets for market research or AI training.

What does Quora Scraper do?

Quora Scraper extracts structured data from Quora — the world's largest Q&A knowledge platform with 300+ million monthly visitors. It navigates Quora using a headless browser with residential proxy to bypass Cloudflare protection, then pulls:

  • Questions — titles, topics, follower counts, answer counts
  • Answers — full text, author name and bio, upvote counts, timestamps
  • User profiles — name, credentials, follower/following counts
  • Topic listings — questions under any topic or space

Just provide a list of Quora URLs (questions, topics, profiles) or a search keyword and the actor will do the rest.

Who is Quora Scraper for?

🎓 Market researchers and analysts

  • Monitor expert opinions on industry topics
  • Track how knowledge around products or technologies evolves
  • Aggregate insights from niche professional communities

🤖 AI and NLP engineers

  • Build Q&A datasets for fine-tuning language models
  • Create training data for answer-quality classifiers
  • Collect domain-specific knowledge for RAG pipelines

📊 Competitive intelligence teams

  • Discover common customer pain points from "Which product is better?" questions
  • Monitor brand mentions and sentiment in expert answers
  • Identify gaps in competitor products from Quora discussions

✍️ Content marketers and SEO specialists

  • Discover high-traffic questions in your niche for content ideas
  • Extract expert-quality answers to research topic depth
  • Identify frequently asked questions for FAQ page generation

🔍 Academic researchers

  • Collect Q&A data for studying online knowledge-sharing behavior
  • Build datasets for discourse analysis and linguistic research

Why use Quora Scraper?

  • No API key or login required — works with public Quora content
  • Bypasses Cloudflare — uses real browser with residential proxies
  • Structured output — every item includes author, upvotes, timestamps
  • Multiple input modes — URLs, search queries, topic pages
  • Apify platform included — scheduling, cloud storage, 5,000+ integrations
  • Export formats — JSON, CSV, Excel, Google Sheets, and more
  • Pay per result — no subscription fee, pay only for what you extract

What data can you extract?

📋 Question data

FieldDescriptionExample
typeRecord type"question"
questionIdUnique question ID"What-is-machine-learning"
titleQuestion title"What is machine learning?"
urlFull question URLhttps://www.quora.com/...
topicsAssociated topics["Machine Learning", "AI"]
followerCountPeople following the question4281
answerCountTotal answers387
viewCountTotal views1200000
scrapedAtScraping timestamp (ISO 8601)"2026-04-01T10:00:00Z"

💬 Answer data

FieldDescriptionExample
typeRecord type"answer"
answerIdUnique answer ID"12345678"
questionTitleParent question title"What is machine learning?"
questionUrlParent question URLhttps://www.quora.com/...
textFull answer text"Machine learning is..."
authorNameAnswer author name"Andrew Ng"
authorUrlAuthor profile URLhttps://www.quora.com/profile/...
authorBioAuthor bio/credentials"AI researcher, Stanford"
upvotesNumber of upvotes8423
numCommentsNumber of comments42
isTopAnswerIs this the top answer?true
createdAtAnswer creation date"2023-06-15T09:00:00Z"
scrapedAtScraping timestamp"2026-04-01T10:00:00Z"

👤 Profile data

FieldDescriptionExample
typeRecord type"profile"
usernameQuora username"John-Smith-42"
nameDisplay name"John Smith"
urlProfile URLhttps://www.quora.com/profile/...
bioProfile bio"Software Engineer at Google"
credentialsTop credential"PhD in Computer Science"
followerCountFollowers12000
followingCountFollowing250
answerCountTotal answers written387
questionCountTotal questions asked45
scrapedAtScraping timestamp"2026-04-01T10:00:00Z"

How much does it cost to scrape Quora?

This Actor uses pay-per-event pricing — you pay only for what you extract. No monthly subscription. All platform costs are included.

Quora uses Cloudflare protection, which requires a real browser with residential proxies. This makes each request more expensive than simpler scrapers, but the pricing reflects what you actually get: reliable extraction with automatic retry logic.

Free ($5 credit)Starter ($29/mo)Scale ($199/mo)Business ($999/mo)
Per question$0.115$0.10$0.078$0.060
Per answer$0.0575$0.05$0.039$0.030
10 questions + 30 answers~$2.88~$2.52~$1.96~$1.50

Real-world cost examples:

Run typeQuestionsAnswersDurationCost (Free tier)
Quick research515~8 min~$1.45
Topic analysis1030~16 min~$2.88
Full export2575~40 min~$7.20

Free plan note: New Apify accounts get $5 in free credits — enough for ~4 questions with answers, or ~40 questions without answers.

How to scrape Quora

  1. Visit the Quora Scraper page on Apify Store
  2. Click "Try for free" to open the actor console
  3. Enter one of the following:
    • Start URLs — paste Quora question, topic, or profile URLs
    • Search query — type a keyword to search for questions
  4. Set output limits — adjust max questions and answers per question
  5. Click "Start" — results will appear in the Dataset tab
  6. Export in JSON, CSV, Excel, or connect to your app via API

Input examples:

{
"startUrls": [
{ "url": "https://www.quora.com/What-is-machine-learning" },
{ "url": "https://www.quora.com/topic/Machine-Learning" }
],
"maxQuestions": 50,
"scrapeAnswers": true,
"maxAnswersPerQuestion": 10
}
{
"searchQuery": "artificial intelligence career",
"maxQuestions": 30,
"scrapeAnswers": true,
"maxAnswersPerQuestion": 5
}

Input parameters

ParameterTypeDefaultDescription
startUrlsArray[]Quora URLs to scrape (questions, topics, profiles)
searchQueryString""Keyword to search for questions
maxQuestionsInteger50Maximum questions to scrape per run
scrapeAnswersBooleantrueWhether to extract answers for each question
maxAnswersPerQuestionInteger10Max answers per question (1-50)
proxyConfigurationObjectResidentialProxy settings — residential proxies required

Note: Either startUrls or searchQuery must be provided. You can use both together.

Output examples

Question item:

{
"type": "question",
"questionId": "What-is-machine-learning",
"title": "What is machine learning?",
"url": "https://www.quora.com/What-is-machine-learning",
"topics": ["Machine Learning", "Artificial Intelligence"],
"followerCount": 4281,
"answerCount": 387,
"viewCount": 1200000,
"scrapedAt": "2026-04-01T10:00:00.000Z"
}

Answer item:

{
"type": "answer",
"questionId": "What-is-machine-learning",
"questionTitle": "What is machine learning?",
"questionUrl": "https://www.quora.com/What-is-machine-learning",
"answerId": "98765432",
"text": "Machine learning is a subset of artificial intelligence that enables computers to learn from data...",
"authorName": "Richard Socher",
"authorUrl": "https://www.quora.com/profile/Richard-Socher",
"authorBio": "Chief Scientist at Salesforce",
"upvotes": 3241,
"numComments": 28,
"isTopAnswer": true,
"createdAt": "2018-03-12T14:22:00.000Z",
"scrapedAt": "2026-04-01T10:00:00.000Z"
}

Tips for best results

  • 🎯 Start small — test with 5-10 questions first to verify the output matches your needs
  • 📂 Use topic URLs — scraping a topic page yields more focused question sets than search
  • ⏱️ Set reasonable limitsmaxAnswersPerQuestion: 5 is usually enough for research
  • 🔄 Schedule runs — use Apify scheduling to monitor topic trends over time
  • 💰 Minimize costs — disable scrapeAnswers if you only need question metadata
  • 🌐 Residential proxies included — don't change proxy settings unless you know what you're doing

Integrations

🗂️ Quora Scraper → Google Sheets Export your results directly to a Google Sheets spreadsheet using Apify's native Google Sheets integration. Ideal for building a shared research database your team can filter and annotate.

📬 Quora Scraper → Slack Set up a webhook to post new question/answer results to a Slack channel. Monitor industry discussions in real-time without manual checking.

🔄 Quora Scraper → Make / Zapier Trigger workflows when new data is collected — automatically forward questions matching keywords to a CRM, Notion, or Airtable database.

📅 Scheduled monitoring Schedule the actor to run daily or weekly on specific Quora topics. Build a time-series dataset to track how expert opinion on a topic evolves.

🤖 Quora Scraper → AI pipeline Feed extracted Q&A pairs directly into a vector database (Pinecone, Weaviate) via the Apify API for RAG-powered chatbots.

Using the Apify API

You can run Quora Scraper programmatically using the Apify API.

Node.js (apify-client):

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });
const run = await client.actor('automation-lab/quora-scraper').call({
searchQuery: 'machine learning career',
maxQuestions: 50,
scrapeAnswers: true,
maxAnswersPerQuestion: 10,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Python:

from apify_client import ApifyClient
client = ApifyClient('YOUR_API_TOKEN')
run = client.actor('automation-lab/quora-scraper').call(run_input={
'searchQuery': 'machine learning career',
'maxQuestions': 50,
'scrapeAnswers': True,
'maxAnswersPerQuestion': 10,
})
for item in client.dataset(run['defaultDatasetId']).iterate_items():
print(item)

cURL:

curl -X POST "https://api.apify.com/v2/acts/automation-lab~quora-scraper/runs?token=YOUR_API_TOKEN" \
-H "Content-Type: application/json" \
-d '{
"searchQuery": "machine learning career",
"maxQuestions": 50,
"scrapeAnswers": true,
"maxAnswersPerQuestion": 10
}'

Use with AI agents via MCP

Quora Scraper is available as a tool for AI assistants that support the Model Context Protocol (MCP).

Add the Apify MCP server to your AI client — this gives you access to all Apify actors, including this one:

Setup for Claude Code

$claude mcp add --transport http apify "https://mcp.apify.com?tools=automation-lab/quora-scraper"

Setup for Claude Desktop, Cursor, or VS Code

Add this to your MCP config file:

{
"mcpServers": {
"apify": {
"url": "https://mcp.apify.com?tools=automation-lab/quora-scraper"
}
}
}

Your AI assistant will use OAuth to authenticate with your Apify account on first use.

Example prompts

Once connected, try asking your AI assistant:

  • "Use automation-lab/quora-scraper to scrape the top 20 questions and answers about 'prompt engineering' from Quora"
  • "Search Quora for questions about Python vs JavaScript and collect the top 5 answers for each question"
  • "Extract all questions from this Quora topic page: https://www.quora.com/topic/Machine-Learning — give me question titles, answer counts, and follower counts"

Learn more in the Apify MCP documentation.

Quora Scraper only extracts publicly available data that anyone can view without logging in. It does not access private or login-gated content.

Web scraping public data is generally considered legal in most jurisdictions. Key legal principles:

  • HiQ Labs v. LinkedIn — US courts ruled scraping publicly accessible data does not violate the Computer Fraud and Abuse Act
  • GDPR compliance — only public profile information is collected; no private messages or sensitive data
  • Robots.txt — this actor respects rate limits and avoids server overload

Important: You are responsible for how you use the data. Always comply with Quora's Terms of Service, applicable data protection laws (GDPR, CCPA), and do not use the data for spam, harassment, or unauthorized commercial purposes.

We recommend reading Apify's web scraping legality guide for more context.

FAQ

How fast does Quora Scraper run?

Typical throughput is 3-5 questions per minute with answers enabled (Quora requires browser-based scraping). For questions-only mode, it's roughly 5-8 questions per minute. A run of 50 questions with 10 answers each takes approximately 15-20 minutes.

How much does it cost to scrape 1,000 Quora questions?

At the Free tier: 1,000 questions × $0.115 = $115 (plus answers at $0.0575 each). With the Starter plan ($29/mo), you get ~$0.10 per question. Quora's Cloudflare protection requires real-browser scraping with residential proxies, which is why costs are higher than simpler scrapers. New users get $5 in free credits — enough for ~40-50 questions without answers.

How is this different from Quora's official API?

Quora does not offer a public API. This actor is the only programmatic way to access Quora data at scale.

Why are some fields returning null?

Quora uses dynamic content loading — some fields like viewCount and answer timestamps may not be available on all questions. This is a Quora limitation, not a scraper bug. The actor will populate as many fields as Quora exposes on the page.

The actor is returning 0 results — what's wrong?

Most commonly: (1) The proxy configuration was changed from the default residential proxies — Quora blocks datacenter IPs. (2) The URL format is incorrect — make sure URLs start with https://www.quora.com/. (3) Quora may have changed their page structure — if this persists, please open an issue on the actor page.

Can I scrape private or login-required content?

No. This actor only extracts publicly accessible content visible to logged-out users.

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