Quora Search Scraper avatar

Quora Search Scraper

Pricing

from $1.00 / 1,000 quora question rows

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Quora Search Scraper

Quora Search Scraper

Find public Quora question pages from search terms or direct URLs. Export titles, URLs, visible topics, answer preview text, related-count hints, and scrape timestamps.

Pricing

from $1.00 / 1,000 quora question rows

Rating

0.0

(0)

Developer

Maxime Dupré

Maxime Dupré

Maintained by Community

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0

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2

Total users

1

Monthly active users

2 days ago

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Quora Search Scraper

Quora Search Scraper helps you find and scrape public Quora question pages from search terms or direct Quora question URLs. Enter a topic such as python programming, machine learning careers, or any public Quora question URL, and the Actor saves structured question rows you can export, schedule, or use through the Apify API.

The Actor is built for public research workflows: content research, question discovery, SEO research, audience research, market research, and finding real questions people ask around a topic. It returns source URLs, question titles, visible topic labels, related-question counts when shown, first-answer preview text, and scrape metadata.

This is not a logged-in Quora account automation tool. It only works with public Quora question pages that can be opened without a Quora account. Private profiles, restricted answers, native logged-in Quora search results, and Quora+ paywalled content are not accessible.

What This Quora Scraper Does

Use this Actor when you need public Quora question data without manually searching, opening pages, copying URLs, and collecting question text by hand.

For each search term, the Actor discovers indexed public Quora question URLs, opens the matching question pages, and saves one dataset row per scraped question. You can also skip discovery and paste direct Quora question URLs when you already know which pages you want.

Good use cases include:

  • Finding public Quora questions around a keyword, niche, product, or audience.
  • Collecting question URLs and topics for SEO briefs or content calendars.
  • Researching how people phrase problems, objections, and buying questions.
  • Building a small dataset of public Quora questions for analysis.
  • Monitoring new research topics by scheduling repeat Apify runs.

What Data You Get

Each saved dataset item is one public Quora question page. Rows include:

  • query - search term that discovered the question, or null for direct URL runs.
  • sourceTarget - original search term or URL you entered.
  • sourceTargetType - query or url.
  • discoveryRank - rank in the discovered public question URL list.
  • title - Quora question title.
  • url - canonical public Quora question URL.
  • questionSlug - Quora question slug from the URL.
  • topics - visible topic labels from the question page.
  • allRelatedCount - visible "All related" count when Quora displays it.
  • answerPreview - preview text from the first visible public answer block.
  • answerAuthorName - best-effort visible name near the first answer.
  • scrapeStatus - scrape status for the page.
  • scrapedAt - UTC timestamp when the row was saved.

How To Run It

  1. Open the Actor input.
  2. Add one or more search terms, such as python programming or machine learning careers.
  3. Optionally paste public Quora question URLs in the same field.
  4. Set the question limit.
  5. Run the Actor and open the dataset.

The default input is small enough for a quick first run. For larger research jobs, raise the question limit and add several related search terms.

Input

{
"targets": ["python programming", "machine learning careers"],
"maxResults": 25,
"maxDiscoveryResultsPerQuery": 20,
"deduplicateQuestions": true
}

You can also scrape direct Quora question URLs:

{
"targets": ["https://www.quora.com/How-do-I-learn-Python"],
"maxResults": 1
}

Output Example

{
"query": "machine learning careers",
"sourceTarget": "machine learning careers",
"sourceTargetType": "query",
"discoveryRank": 2,
"title": "What are the possible careers in machine learning?",
"url": "https://www.quora.com/What-are-the-possible-careers-in-machine-learning",
"questionSlug": "What-are-the-possible-careers-in-machine-learning",
"topics": ["Machine Learning", "Data Science"],
"allRelatedCount": 66,
"answerPreview": "Machine Learning is a field with many opportunities for careers...",
"answerAuthorName": "Harsh Gupta",
"scrapeStatus": "scraped",
"scrapedAt": "2026-05-21T22:31:21.766Z"
}

Pricing

This Actor uses pay-per-event pricing. A small actor-start charge applies when a run starts, and each saved public Quora question row is charged as a quora-question-row event. You only pay row events for question rows saved to the dataset.

Limits And Caveats

Quora Search Scraper works with public Quora question pages. It does not log in to Quora, bypass private access, scrape Quora+ paywalled content, or return restricted answers. If a page is not publicly visible, it will not be saved as a scraped question row.

Keyword mode discovers public question URLs from indexed web results. It is designed to find relevant public question pages, not to reproduce Quora's logged-in native search experience exactly.

Output fields depend on what is visible on each public question page. Some pages may not show an answer preview, author name, topic list, or related-question count.

FAQ

Can I scrape private Quora profiles or restricted answers?

No. The Actor only saves public Quora question pages that can be opened without a Quora account. Private profiles, restricted answers, logged-in-only results, and Quora+ paywalled content are not accessible.

Can I use direct Quora URLs?

Yes. Paste public Quora question URLs into the same input field as search terms. Direct URLs are useful when you already have a list of questions and want structured output rows.

No. Search-term mode discovers indexed public Quora question URLs and then scrapes the public question pages directly. This keeps the Actor focused on public pages and avoids asking for Quora cookies or account credentials.

Can I export the results?

Yes. Apify datasets can be exported as JSON, CSV, Excel, XML, RSS, or HTML, and you can access results through the Apify API, webhooks, integrations, or scheduled runs.