Extract Quora Data
Public questions, answers, and author signals from Quora.
Tell AuraCrawl what you need from Quora in plain language — "every answer to questions about this product category," "all answers by credentialed authors in this topic," "new answers on these 400 questions weekly." Quora is where buying intent gets written down in long form, which makes it unusually good corpus material — and its answer feeds are rendered client-side behind pagination that has to be driven rather than requested.
What a response looks like
REQUEST
ask“Tell AuraCrawl what you need from Quora in plain language — which entities, which fields, how often. That sentence is the spec.”
{
"question_id": "q-8841027",
"question": "Which cold brew brands in India are actually worth the price?",
"topics": [
"Coffee",
"Indian Food and Beverage",
"Cold Brew"
],
"followers": 412,
"answer_count": 37,
"answer": {
"answer_id": "a-99120514",
"author": "Rahul K.",
"credential": "Barista, 8 years in specialty coffee",
"text": "I have worked through most of what is available in Delhi and Bangalore...",
"upvotes": 1284,
"comment_count": 41,
"answered_at": "2026-07-29T18:05:00+05:30"
}
}What you can extract
- Question text, topics, follower counts, and answer counts
- Full answer text, including long-form answers in their entirety
- Author names and stated credentials per answer
- Upvote and comment counts per answer
- Comment threads beneath answers
- New answers on a watched question set, on a schedule
PIPELINE Aura Vision drives Quora's client-rendered answer pagination to the end rather than reading the first screen; Aura Build returns whole answers as clean text, with the boilerplate and prompts stripped.
Related targets
Request Quora data.
Describe the fields, the volume, and the cadence. We scope the extraction and deliver a sample before you commit.