Quora Scraper — Questions, Answers & Topics

Scrape Quora Q&A content at scale. Extract questions, answers, upvotes, author profiles, credentials, topic metadata, and engagement metrics. Export to JSON, CSV, Excel, or connect via API.

Key Features

• Search scraping — Find questions matching any keyword or phrase
• Topic scraping — Browse all questions within a Quora topic
• Profile scraping — Extract a user's answers, bio, and stats
• Single question — Deep-scrape a specific question with all answers
• 4 extraction strategies with cascading fallbacks (JSON-LD, DOM parsing, inline state, meta tags)
• Full answer extraction — Text, upvotes, author name, credentials, dates
• Related questions — Discover linked questions for SEO research
• Proxy support — Automatic rotation via Apify Proxy
• Pay-per-event pricing — Only pay for results you actually get ($0.003/item)

Use Cases

Use Case	Description
Content Marketing	Find trending questions in your niche to create content that answers real user queries
SEO Keyword Research	Discover long-tail keywords and question phrases people actually ask
Market Research	Analyze audience pain points, preferences, and opinions at scale
Audience Insights	Understand what experts say, which credentials build trust, and what gets upvoted
Competitor Analysis	Monitor Q&A around competitor brands, products, or services
Lead Generation	Find professionals answering questions in your industry
Academic Research	Collect Q&A datasets for NLP, sentiment analysis, or knowledge graphs
Product Development	Identify feature requests, complaints, and wishlist items from real users

Input Parameters

Parameter	Type	Default	Description
searchTerm	string	(required)	Topic or question keyword to search on Quora
scrapeType	string	"search"	What to scrape: search, topic, profile, or question
topic	string		Specific Quora topic slug (e.g. Artificial-Intelligence)
maxResults	integer	50	Maximum number of items to scrape (1-500)
includeAnswers	boolean	true	Whether to extract full answer text for each question
sortBy	string	"relevance"	Sort order: relevance, recent, or most_upvoted
maxAnswersPerQuestion	integer	5	Max answers to extract per question (1-50)
proxyConfiguration	object		Apify Proxy settings for bypassing rate limits

Output Data Fields

Each scraped question produces a JSON object with these fields:

Field	Type	Description
question	string	The full question text
questionUrl	string	Direct URL to the question on Quora
url	string	URL that was scraped
topic	string	Primary topic/category of the question
answerCount	number	Total number of answers on the question
followersCount	number	Number of users following the question
views	number	Number of views (when available)
upvotes	number	Total upvotes across all extracted answers
dateAsked	string	ISO date when the question was posted
lastActivity	string	ISO date of the most recent activity
topAnswer	string	Preview of the top answer (truncated to 500 chars)
answers	array	Array of answer objects (see below)
relatedQuestions	array	Related questions discovered on the page
scrapedAt	string	ISO timestamp of when the data was scraped

Answer Object Fields

Each answer in the answers array contains:

Field	Type	Description
authorName	string	Name of the answer author
authorUrl	string	URL to the author's Quora profile
authorCredentials	string	Author's credential/bio line
answerText	string	Full text of the answer
upvotes	number	Number of upvotes on this answer
dateAnswered	string	ISO date when the answer was posted
comments	number	Number of comments on the answer
isAccepted	boolean	Whether this is the accepted answer

Example: Search for AI Questions

{
    "searchTerm": "artificial intelligence future",
    "scrapeType": "search",
    "maxResults": 25,
    "includeAnswers": true,
    "sortBy": "most_upvoted",
    "maxAnswersPerQuestion": 3
}

Example: Scrape a Specific Topic

{
    "searchTerm": "Machine Learning",
    "scrapeType": "topic",
    "topic": "Machine-Learning",
    "maxResults": 100,
    "includeAnswers": true
}

Example: Scrape a User Profile

{
    "searchTerm": "Adam-DAngelo",
    "scrapeType": "profile",
    "maxResults": 50,
    "includeAnswers": true
}

Code Examples

Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")

run_input = {
    "searchTerm": "best programming languages 2026",
    "scrapeType": "search",
    "maxResults": 50,
    "includeAnswers": True,
    "sortBy": "most_upvoted",
    "maxAnswersPerQuestion": 5,
}

run = client.actor("sovereigntaylor/quora-scraper").call(run_input=run_input)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"Q: {item['question']}")
    print(f"   Answers: {item['answerCount']} | Upvotes: {item.get('upvotes', 0)}")
    if item.get("topAnswer"):
        print(f"   Top Answer: {item['topAnswer'][:200]}...")
    print()

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });

const input = {
    searchTerm: 'startup advice',
    scrapeType: 'search',
    maxResults: 30,
    includeAnswers: true,
    sortBy: 'relevance',
    maxAnswersPerQuestion: 3,
};

const run = await client.actor('sovereigntaylor/quora-scraper').call(input);

const { items } = await client.dataset(run.defaultDatasetId).listItems();

for (const item of items) {
    console.log(`Q: ${item.question}`);
    console.log(`   Answers: ${item.answerCount} | Upvotes: ${item.upvotes || 0}`);
    if (item.answers?.length > 0) {
        console.log(`   Top answer by: ${item.answers[0].authorName}`);
        console.log(`   ${item.answers[0].answerText.slice(0, 200)}...`);
    }
    console.log();
}

cURL (API)

curl "https://api.apify.com/v2/acts/sovereigntaylor~quora-scraper/runs" \
  -X POST \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -d '{
    "searchTerm": "remote work productivity",
    "scrapeType": "search",
    "maxResults": 20,
    "includeAnswers": true
  }'

Sample Output

{
    "question": "What are the most important skills to learn for the future?",
    "questionUrl": "https://www.quora.com/What-are-the-most-important-skills-to-learn-for-the-future",
    "url": "https://www.quora.com/What-are-the-most-important-skills-to-learn-for-the-future",
    "topic": "Career Advice",
    "answerCount": 142,
    "followersCount": 3500,
    "views": 850000,
    "upvotes": 12400,
    "dateAsked": "2024-03-15T00:00:00.000Z",
    "lastActivity": "2026-02-28T14:30:00.000Z",
    "topAnswer": "The most important skills combine technical literacy with human connection...",
    "answers": [
        {
            "authorName": "Jane Smith",
            "authorUrl": "https://www.quora.com/profile/Jane-Smith-42",
            "authorCredentials": "Former VP Engineering at Google, 20+ years in tech",
            "answerText": "The most important skills combine technical literacy with human connection...",
            "upvotes": 4200,
            "dateAnswered": "2024-03-16T10:00:00.000Z",
            "comments": 87,
            "isAccepted": true
        }
    ],
    "relatedQuestions": [
        {
            "question": "What skills will be in demand in 2030?",
            "url": "https://www.quora.com/What-skills-will-be-in-demand-in-2030"
        }
    ],
    "scrapedAt": "2026-03-02T12:00:00.000Z"
}

FAQ

Q: Does this scraper require a Quora account? A: No. The scraper works with publicly accessible Quora pages. No login or API key is needed.

Q: How many results can I scrape? A: Up to 500 results per run. For larger datasets, run the actor multiple times with different search terms or topics.

Q: Why are some answers missing? A: Quora renders some content dynamically via JavaScript. The scraper uses 4 extraction strategies with fallbacks, but heavily JS-dependent pages may have partial data. Using Apify Proxy improves results.

Q: How does pricing work? A: The actor uses pay-per-event pricing at $0.003 per item scraped, plus standard Apify platform compute costs. You only pay for results you actually receive.

Q: Can I scrape Quora Spaces? A: Currently the scraper focuses on questions, answers, topics, and profiles. Quora Spaces support may be added in a future version.

Q: What about rate limiting? A: The scraper includes automatic retry logic with exponential backoff. For best results, enable Apify Proxy in the input configuration.

Q: Can I export data to CSV or Excel? A: Yes. After the run completes, you can export the dataset in JSON, CSV, Excel, XML, or HTML format directly from the Apify Console or via the API.

Integration — Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("sovereigntaylor/quora-scraper").call(run_input={
    "searchTerm": "quora",
    "maxResults": 50
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"{item.get('title', item.get('name', 'N/A'))}")

Integration — JavaScript

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });

const run = await client.actor('sovereigntaylor/quora-scraper').call({
    searchTerm: 'quora',
    maxResults: 50
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach(item => console.log(item.title || item.name || 'N/A'));

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Support

For issues, feature requests, or questions, open an issue on the actor page or contact the developer.

License

MIT