Quora Search Scraper

🔎 Find and collect public Quora content

Quora Search Scraper is for content, SEO, and market researchers. Search by keyword or add known Quora URLs. Get public questions, visible answers, profiles, topics, spaces, and posts in data you can review or export.

• Quora Question Research — collect public questions, topic labels, answer counts, and source URLs for a subject.
• Quora Answer Scraping — export full public answer text, authors, credentials, dates, and engagement counts when shown.
• Quora Content Research — study the words and themes people use in public questions, answers, and posts.
• Quora Keyword Research — find indexed public Quora pages for keywords, with the search term and discovery rank.
• Quora Topic Monitoring — run repeat searches with a date range to follow public topic activity.
• Quora Profile Scraping — collect public profile names, descriptions, images, and activity counts when shown.
• Quora URL Scraping — turn lists of public question, profile, topic, space, or post URLs into structured data.

You do not need Quora cookies, an account, or an API key. The Actor does not collect private, login-only, restricted, or Quora+ paywalled content.

📦 Returned data

Each dataset row is one public Quora page that was collected. Question rows have visible answers in an answers array. Other rows hold a profile, topic, space, or post.

• Shared fields: contentType, matchedInput, discoveryRank, title, and canonical url
• Questions: questionId, topics, answerCount, followerCount, and answers
• Answers: answerId, rank, url, text, author details, dates, upvotes, comments, shares, views, and mediaUrls
• Profiles: profileId, description, image, followers, following, answer count, and post count
• Topics and spaces: IDs, descriptions, images, follower counts, and available question, member, contributor, or post counts
• Posts: postId, text, author, linked profile, topic, or space, dates, engagement counts, and mediaUrls

A field appears only when Quora shows it on a public page. Missing facts are not guessed.

🚀 Running the Actor

1. Add keywords or public Quora URLs to Search words or Quora URLs.
2. Choose the page type to find for keyword searches.
3. If needed, choose a search date range.
4. Set the per-search and whole-run limits.
5. Run the Actor and open the dataset.

You can mix keywords and direct URLs in one run. Search type and date range apply only to keywords. Direct public URLs are opened as given.

⚙️ Input

{
  "targets": [
    "machine learning careers",
    "https://www.quora.com/How-do-I-learn-Python"
  ],
  "searchType": "question",
  "dateRange": "month",
  "maxDiscoveryResultsPerQuery": 20,
  "maxResults": 50
}

Field	Description
targets	One or more keywords, Quora search URLs, or public question, profile, topic, space, or post URLs.
searchType	Page type found for keywords: question, profile, topic, space, post, or all.
dateRange	Search date range for keywords: any, day, week, month, or year.
maxDiscoveryResultsPerQuery	Most public Quora URLs to find for each keyword.
maxResults	Most page rows to save in the whole run.

🧾 Output

A question row can look like this:

{
  "contentType": "question",
  "matchedInput": "machine learning careers",
  "discoveryRank": 2,
  "title": "What are the possible careers in machine learning?",
  "url": "https://www.quora.com/What-are-the-possible-careers-in-machine-learning",
  "questionId": 123456789,
  "topics": ["Machine Learning", "Data Science"],
  "answerCount": 12,
  "followerCount": 34,
  "answers": [
    {
      "answerId": 987654321,
      "rank": 1,
      "url": "https://www.quora.com/What-are-the-possible-careers-in-machine-learning/answer/Example-Author",
      "text": "Common paths include machine learning engineering, data science, and research.",
      "author": {
        "name": "Example Author",
        "url": "https://www.quora.com/profile/Example-Author",
        "credential": "Machine learning engineer",
        "isAi": false
      },
      "upvoteCount": 42,
      "mediaUrls": []
    }
  ]
}

Download data as JSON, CSV, Excel, XML, RSS, or HTML. You can also get it through the Apify API.

💳 Pricing

This Actor uses pay-per-event pricing. A quora-result event is charged only when a public question, profile, topic, space, or post is saved. Startup, checks, failed or restricted pages, and searches with no saved pages are not charged as Actor result events. See the Actor pricing page for the current price before you run it.

🔌 Integrations

Use Apify schedules for repeat runs, webhooks for the next step in a workflow, the API for runs from code, and dataset integrations for saved data.

❓ FAQ

Can it collect private or Quora+ answers?

No. It collects only data shown on public pages without a login. Private, restricted, login-only, and paywalled content is not covered.

Is keyword search the same as logged-in Quora search?

No. Keyword mode finds indexed public Quora URLs and then collects those pages. The date range applies to search discovery. It does not promise a Quora publish date.

Can I submit direct Quora URLs?

Yes. Add public question, profile, topic, space, post, or Quora search URLs. Search type and date range do not limit direct URLs.

What happens when a field or page is not available?

A missing field is left out. A private, blocked, unsupported, or failed page does not make a saved or charged row. Rows saved earlier in the run stay in the dataset.

Can I process a large list in one run?

Yes. Add many keywords and URLs. Use maxDiscoveryResultsPerQuery and maxResults to set limits. Apify run limits and public source access still apply.

Do I need a Quora account or API key?

No. The Actor uses public pages and does not accept Quora login details.

📝 Changelog

• 1.0: Updated the public dataset contract, simplified the input form, added public profile, topic, space, and post coverage, and introduced tiered saved-page pricing.
• 0.1: Initial release.

🆘 Support

For issues, questions, or feature requests, file a ticket and I'll fix or implement it in less than 24h 🫡

🔗 Related Actors

• Reddit Comments Search Scraper — search public Reddit comments by keyword or subreddit for more discussion research.
• Reddit Scraper — collect public Reddit posts, comments, communities, and users for wider forum research.
• LinkedIn Posts Scraper — collect public work posts and engagement for market and competitor research.
• Twitter (X) Scraper — search public posts, profiles, and trends to track topics across platforms.

Made with ❤️ by Maxime Dupré