Quora: scrapers and the official API, compared

Questions, answers, profiles and topic search data.

Short answer

For most Quora jobs, start with Quora Question, Answer & Relationship Dataset Builder: it covers 5 of 6 core fields (question, answer, author, url and 1 more) at $0.99 per 1,000 results on Apify's Free plan. The top published score for Quora goes to Quora Scraper (Questions & Answers) by neuro-scraper (86 of 100), a Store tool from another publisher, listed for reference.

From published Store listings, output schemas and the official documentation. Checked 2026-11-12. How the ranking works.

Quora Question, Answer & Relationship Dataset Builder: inputs, code and costOpen in Apify Store

4 catalogue Actors 11 other Store tools Official API: No open API Lowest rate  $0.99 per 1K

What do you need from Quora?

Route map

Each line is one way to get Quora data; each stop is a field you probably need. Green lines are catalogue Actors, ranked by the published formula.

Route diagram for Quora dataQuora Question, Answer & Relationship Dataset Builder: stops at 6 of the 10 fields shown; Quora Space Activity & Content Change Monitor: stops at 4 of the 10 fields shown; Quora Question, Answer & Profile Search Scraper: stops at 5 of the 10 fields shown; Quora Keyword Search & Author Discovery Scraper: stops at 5 of the 10 fields shown; Other Store tools (8): stops at 9 of the 10 fields shown; No public content API: none, field coverage not compared.Quoraquestionanswerposted atauthorvotesurltitlecreatedAtfollowerCountscraped at1234+API

Stops are fields. A ring means the field is in that route's published output schema; no ring means the line passes without it. Bold labels are the core fields for this website, the rest are fields that differ between routes. A white capsule means every data line stops there. The red line is the official API; its field coverage is not compared. A crossed red line means there is no open official API.

Catalogue Actors for Quora

Quora Question, Answer & Relationship Dataset Builder

Build a structured Quora dataset from question, answer, profile, Topic, Space, and Post URLs or search terms, with the question-answer-comment…

5/6 core fields 120 output fields $0.99 per 1K Open in Apify Store

Quora Space Activity & Content Change Monitor

Monitor a Quora Space's metadata, feed and contributors, or track any public Quora question, answer, profile, topic or post for content changes…

2/6 core fields 120 output fields $0.99 per 1K Open in Apify Store

Quora Question, Answer & Profile Search Scraper

Search Quora by keyword or scrape question, answer, profile, topic, Space, and post URLs directly, and get the text, author details, and…

2/6 core fields 18 output fields $0.99 per 1K Open in Apify Store

Which route for which job

The catalogue Actors for Quora return different records. "Only this route" lists the published fields no other Actor in this table returns, which is usually what decides the choice. Cost is the published per-result rate; start events and platform usage are extra.

Catalogue Actors for Quora by job, with the fields only each one returns
Actor Good for Only this route Core fields 10K results
Quora Question, Answer & Relationship Dataset Builder Discussion extraction state_snapshot_hash, previous_snapshot_hash, state_scope_fingerprint, state_store_state, only_new_items 5/6 $9.90
Quora Space Activity & Content Change Monitor Monitor Quora content changes contributor_limit_reached, description, topics, observed_tabs, discovered_spaces 2/6 $9.90
Quora Question, Answer & Profile Search Scraper Discover questions search_rank, search_result_type 2/6 $9.90
Quora Keyword Search & Author Discovery Scraper Research discussions no unique fields 2/6 $9.90

Field matrix: who returns what

Every tool with a published output schema, against the 6 fields most Quora jobs need. A dot means the field name appears in the schema; rows can still leave it empty.

Which tools return each core Quora field, from published output schemas
Toolquestionanswerauthorvotesurlposted atFields
Quora Question, Answer & Relationship Dataset Builder●●●–●●5/6
Quora Space Activity & Content Change Monitor––●–●–2/6
Quora Question, Answer & Profile Search Scraper––●–●–2/6
Quora Keyword Search & Author Discovery Scraper––●–●–2/6
Quora Scraper (Questions & Answers)Reference only, by neuro-scraper●●●–●●5/6
Quora Questions ScraperReference only, by devilscrapes●●●–●●5/6
Quora ScraperReference only, by rbbscrap–●●–●–3/6
Quora Scraper: Questions, Answers and Profiles (No Login)Reference only, by dedicated_crest●●●–●–4/6
Quora ScraperReference only, by om_kh––●–●–2/6
Quora ScraperReference only, by thirdwatch●–●–●–3/6
Quora Questions Monitor: No Login Needed, Track Content ChangesReference only, by getascraper●–––●–2/6
Quora ScraperReference only, by brilliant_gum●●●–●–4/6
Tools returning it76110123

Field dictionary: the exact keys

The same core field has a different key in each Actor's output. Map these before you merge datasets; a dash means the published schema has no matching key. Need a field that is not listed here, such as email? Search every Quora Actor by field.

Output keys for each core Quora field in the top catalogue Actors
Core field Quora Question, Answer…Quora Space Activity…Quora Question, Answer…
question question_title––
answer answers––
author post_author_name, question_author_namefeed_author_nameauthor_name
votes –––
url final_url, canonical_url, urlfinal_url, canonical_url, space_urlurl, source_url
posted at post_author_is_verified, post_created_at, post_updated_at––

Download this comparison: CSV · JSON (every tool with a published schema, matching keys per core field, price and score).

All 15 tools, scored

Catalogue Actors link to their detail pages; the score (0 to 100) is the published formula, identical for every tool. Other Store tools follow in their own table, for reference. Price is the published primary-result rate per 1,000 (the Free-plan rate where the price is tiered; higher Apify plans pay less); start events and platform usage are excluded.

Catalogue Actors for Quora, ranked by the published method
Sample fields
83 question_title, answers, post_author_name 120 $0.99 18 runs, too few to rate Oct 2026
68
Quora Space Activity & Content Change Monitor Catalogue Actor, pay per event
feed_author_name, final_url, content_type 120 $0.99 no public runs Nov 2026
68
Quora Question, Answer & Profile Search Scraper Catalogue Actor, pay per event
author_name, url, content_type 18 $0.99 18 runs, too few to rate Oct 2026
68
Quora Keyword Search & Author Discovery Scraper Catalogue Actor, pay per event
author_name, url, content_type 15 $0.99 18 runs, too few to rate Oct 2026

Other Store tools, for reference

Scored with the same published formula and listed for comparison only; this site does not link or recommend them.

Other Store tools for Quora, for reference
Sample fields
86
Quora Scraper (Questions & Answers) Reference only, by neuro-scraper
questionTitle, answerHtml, authorName 120 $2.99 100% Oct 2026
84
Quora Questions Scraper Reference only, by devilscrapes
question_text, answer_text, answer_author_name 16 $1.92 66% of 32 runs Nov 2026
78
Quora Scraper Reference only, by rbbscrap
topAnswer, author, url 12 $1.20 90% Nov 2026
77
Quora Scraper: Questions, Answers and Profiles (No Login) Reference only, by dedicated_crest
relatedQuestions, answers, authorName 28 $1.90 10 runs, too few to rate Nov 2026
72
Quora Scraper Reference only, by om_kh
author, url, title 9 $2.50 100% of 25 runs Nov 2026
71
Quora Scraper · Questions, Answers & Spaces [No Login] Reference only, by memo23
No published schema – $4.00 98% of 418 runs Nov 2026
71
Quora Scraper Reference only, by thirdwatch
question_title, author_name, answer_url 8 $4.00 68% Nov 2026
69
Quora Question Finder: Unanswered Questions & Opportunities Reference only, by bossless
No published schema – $2.00 100% of 28 runs Oct 2026
64
Quora Questions Monitor: No Login Needed, Track Content Changes Reference only, by getascraper
question_text, canonical_url, change_type 12 $3.50 1 run, too few to rate Oct 2026
64
Quora Scraper Reference only, by brilliant_gum
questionTitle, isAiAnswer, authorName 15 $15 100% of 30 runs Sep 2026
60
Quora Questions Spider Reference only, by getdataforme
No published schema – $9.00 100% of 30 runs Nov 2026

What to check before you choose

Teams use Quora data to discover recurring questions, study discussion themes and identify authors writing about a subject. Search results help locate material, while answer and relationship datasets serve closer analysis.

Choose a search route for question and author discovery, or a relationship dataset for connections among content and profiles. If the project needs full answer text, verify that output explicitly before selecting a discovery tool.

Checklist

  • Inspect content_type before combining questions, answers, profiles and topics. Their titles and engagement measures describe different kinds of records.
  • Confirm that the output includes the answer text you need. The detailed search schemas list title, answer_id and author_name but do not list a field for the answer body.
  • Retain access_state, discovery_source and source_url where available. Check their definitions before treating an inaccessible or undiscovered answer as absent.

Where the data is incomplete

The search schemas establish discovery metadata and engagement fields. A tool described as collecting answers may still need closer output inspection for your intended analysis.

The relationship builder's listed fields focus on collection state and diagnostics rather than the content of relationship records. Search coverage, access-state meanings and the completeness of linked answers remain unspecified in these details.

Official API route

No public content API

Quora does not publish an open public content API for question and answer data.

Price. Not applicable.

Limits. Public-page collection is an alternative used by third-party tools, subject to Quora's terms.

Official documentation

Limit collection to public content and check Quora's terms, which prohibit some automated access, before choosing a collection method. This is general information, not legal advice.

Read Quora's terms. Keep to public data, do not bypass logins or access controls, and check whether personal data is involved before you collect it. The can-I-scrape checklist walks through it.

How to start

  1. Open Quora Question, Answer & Profile Search Scraper and review its current input instructions and output schema.
  2. Configure a narrow topic search using the supported inputs, with a clear choice of the content types you want to retain.
  3. Start the collection and inspect content_type, url and access_state, then confirm whether the records contain enough text for your intended analysis.

Call Quora Question, Answer & Relationship Dataset Builder from code

The example input uses the Actor's published defaults; set your own Quora query before you run it. You need an Apify API token.

Python

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run_input = {
    "mode": "auto",
    "scrapeDepth": "detail",
    "startUrls": [
        {
            "url": "https://www.quora.com/What-is-the-meaning-of-life"
        }
    ],
    "searchQueries": [],
    "questionUrls": [],
    "answerUrls": [],
    "topicUrls": [],
    "spaceUrls": [],
    "profileUrls": [],
    "postUrls": [],
    "resultTypes": [
        "question",
        "answer",
        "comment",
        "profile",
        "profile_activity",
        "topic",
        "topic_post",
        "space",
        "space_feed_item",
        "entity_edge",
        "status",
        "run_manifest"
    ],
    "outputFormat": "normalized",
    "dedupeMode": "canonical",
    "onlyNewItems": False,
    "includeUnchanged": True,
    "outputFields": [],
    "includeFieldEvidence": True,
    "includeUnresolvedEdges": True,
    "relationshipTypes": [],
    "includeProfileEdges": False,
    "includeQuestionFollowerEdges": False,
    "includeAnswerUpvoterEdges": False,
    "includeSensitiveRelationshipData": False,
    "includeTargetMetadata": False,
    "includeRelationshipCounts": False,
    "includeSpaceRoleEdges": False,
    "includeSpaceContentEdges": True,
    "maxRelationshipItemsPerCollection": 500,
    "maxQuestions": 10,
    "maxAnswersPerQuestion": 5,
    "maxAnswers": 0,
    "includeQuestion": True,
    "includeAuthor": True,
    "includeAuthorSnapshot": False,
    "includeTopics": True,
    "includeSpaces": False,
    "includeComments": False,
    "includeEngagementBreakdown": True,
    "includeRelatedContent": False,
    "maxRelatedContent": 20,
    "topCommentsOnly": False,
    "commentSortOrder": "observed",
    "includeReplyGraph": False,
    "includeMedia": False,
    "includeFeedText": False,
    "includeOutboundLinks": False,
    "includeEntityGraph": False,
    "maxCommentsPerAnswer": 0,
    "maxCommentDepth": 20,
    "maxItems": 0,
    "maxGraphEdges": 1000,
    "maxScrollAttempts": 5,
    "maxLoadMoreAttempts": 0,
    "includeRawEvidence": False,
    "includeHtml": False,
    "maxHtmlBytes": 100000,
    "requestDelay": 1,
    "maxConcurrency": 1,
    "maxNavigationRetries": 2,
    "language": "auto",
    "redactSensitiveQueryParams": True,
    "rawEvidenceRetentionDays": 30,
    "maxRawEvidenceBytes": 100000,
    "maxItemsPerSource": 0,
    "searchDiscovery": "relatedOnly",
    "maxRelatedQuestions": 0,
    "searchResultsPerQuery": 0,
    "maxAnswerPages": 0,
    "maxTopicFeedPages": 0,
    "maxSpaceFeedBundles": 1,
    "includeCommentReplies": False,
    "includeQuoraPlusPreview": True,
    "includeProfileStats": True,
    "includeTopicStats": True,
    "includeSpaceStats": True,
    "includePostStats": True,
    "includeAnswerStats": True,
    "includeTopicFeed": False
}

run = client.actor("nimbryxo-studio/quora-question-answer-and-relationship-dataset").call(run_input=run_input)
if run is None:
    raise RuntimeError("The Actor run was not found.")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

pip install apify-client

JavaScript

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "<YOUR_APIFY_TOKEN>" });
const input = {
    "mode": "auto",
    "scrapeDepth": "detail",
    "startUrls": [
        {
            "url": "https://www.quora.com/What-is-the-meaning-of-life"
        }
    ],
    "searchQueries": [],
    "questionUrls": [],
    "answerUrls": [],
    "topicUrls": [],
    "spaceUrls": [],
    "profileUrls": [],
    "postUrls": [],
    "resultTypes": [
        "question",
        "answer",
        "comment",
        "profile",
        "profile_activity",
        "topic",
        "topic_post",
        "space",
        "space_feed_item",
        "entity_edge",
        "status",
        "run_manifest"
    ],
    "outputFormat": "normalized",
    "dedupeMode": "canonical",
    "onlyNewItems": false,
    "includeUnchanged": true,
    "outputFields": [],
    "includeFieldEvidence": true,
    "includeUnresolvedEdges": true,
    "relationshipTypes": [],
    "includeProfileEdges": false,
    "includeQuestionFollowerEdges": false,
    "includeAnswerUpvoterEdges": false,
    "includeSensitiveRelationshipData": false,
    "includeTargetMetadata": false,
    "includeRelationshipCounts": false,
    "includeSpaceRoleEdges": false,
    "includeSpaceContentEdges": true,
    "maxRelationshipItemsPerCollection": 500,
    "maxQuestions": 10,
    "maxAnswersPerQuestion": 5,
    "maxAnswers": 0,
    "includeQuestion": true,
    "includeAuthor": true,
    "includeAuthorSnapshot": false,
    "includeTopics": true,
    "includeSpaces": false,
    "includeComments": false,
    "includeEngagementBreakdown": true,
    "includeRelatedContent": false,
    "maxRelatedContent": 20,
    "topCommentsOnly": false,
    "commentSortOrder": "observed",
    "includeReplyGraph": false,
    "includeMedia": false,
    "includeFeedText": false,
    "includeOutboundLinks": false,
    "includeEntityGraph": false,
    "maxCommentsPerAnswer": 0,
    "maxCommentDepth": 20,
    "maxItems": 0,
    "maxGraphEdges": 1000,
    "maxScrollAttempts": 5,
    "maxLoadMoreAttempts": 0,
    "includeRawEvidence": false,
    "includeHtml": false,
    "maxHtmlBytes": 100000,
    "requestDelay": 1,
    "maxConcurrency": 1,
    "maxNavigationRetries": 2,
    "language": "auto",
    "redactSensitiveQueryParams": true,
    "rawEvidenceRetentionDays": 30,
    "maxRawEvidenceBytes": 100000,
    "maxItemsPerSource": 0,
    "searchDiscovery": "relatedOnly",
    "maxRelatedQuestions": 0,
    "searchResultsPerQuery": 0,
    "maxAnswerPages": 0,
    "maxTopicFeedPages": 0,
    "maxSpaceFeedBundles": 1,
    "includeCommentReplies": false,
    "includeQuoraPlusPreview": true,
    "includeProfileStats": true,
    "includeTopicStats": true,
    "includeSpaceStats": true,
    "includePostStats": true,
    "includeAnswerStats": true,
    "includeTopicFeed": false
};

const run = await client.actor("nimbryxo-studio/quora-question-answer-and-relationship-dataset").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

npm install apify-client

cURL

curl -X POST "https://api.apify.com/v2/actors/nimbryxo-studio~quora-question-answer-and-relationship-dataset/run-sync-get-dataset-items"   -H "Authorization: Bearer $APIFY_TOKEN"   -H "Content-Type: application/json"   -d '{"mode":"auto","scrapeDepth":"detail","startUrls":[{"url":"https://www.quora.com/What-is-the-meaning-of-life"}],"searchQueries":[],"questionUrls":[],"answerUrls":[],"topicUrls":[],"spaceUrls":[],"profileUrls":[],"postUrls":[],"resultTypes":["question","answer","comment","profile","profile_activity","topic","topic_post","space","space_feed_item","entity_edge","status","run_manifest"],"outputFormat":"normalized","dedupeMode":"canonical","onlyNewItems":false,"includeUnchanged":true,"outputFields":[],"includeFieldEvidence":true,"includeUnresolvedEdges":true,"relationshipTypes":[],"includeProfileEdges":false,"includeQuestionFollowerEdges":false,"includeAnswerUpvoterEdges":false,"includeSensitiveRelationshipData":false,"includeTargetMetadata":false,"includeRelationshipCounts":false,"includeSpaceRoleEdges":false,"includeSpaceContentEdges":true,"maxRelationshipItemsPerCollection":500,"maxQuestions":10,"maxAnswersPerQuestion":5,"maxAnswers":0,"includeQuestion":true,"includeAuthor":true,"includeAuthorSnapshot":false,"includeTopics":true,"includeSpaces":false,"includeComments":false,"includeEngagementBreakdown":true,"includeRelatedContent":false,"maxRelatedContent":20,"topCommentsOnly":false,"commentSortOrder":"observed","includeReplyGraph":false,"includeMedia":false,"includeFeedText":false,"includeOutboundLinks":false,"includeEntityGraph":false,"maxCommentsPerAnswer":0,"maxCommentDepth":20,"maxItems":0,"maxGraphEdges":1000,"maxScrollAttempts":5,"maxLoadMoreAttempts":0,"includeRawEvidence":false,"includeHtml":false,"maxHtmlBytes":100000,"requestDelay":1,"maxConcurrency":1,"maxNavigationRetries":2,"language":"auto","redactSensitiveQueryParams":true,"rawEvidenceRetentionDays":30,"maxRawEvidenceBytes":100000,"maxItemsPerSource":0,"searchDiscovery":"relatedOnly","maxRelatedQuestions":0,"searchResultsPerQuery":0,"maxAnswerPages":0,"maxTopicFeedPages":0,"maxSpaceFeedBundles":1,"includeCommentReplies":false,"includeQuoraPlusPreview":true,"includeProfileStats":true,"includeTopicStats":true,"includeSpaceStats":true,"includePostStats":true,"includeAnswerStats":true,"includeTopicFeed":false}'

Waits for the run and returns the dataset items (runs over 300 seconds return HTTP 408; start an async run instead).

MCP (AI agents)

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=nimbryxo-studio/quora-question-answer-and-relationship-dataset",
      "headers": {
        "Authorization": "Bearer <YOUR_APIFY_TOKEN>"
      }
    }
  }
}

Adds this Actor as a tool in an MCP client that takes a remote server URL (Cursor, VS Code, Claude Code) through Apify's hosted MCP server. OAuth sign-in also works without the header. Clients that only start local servers can wrap the URL with npx mcp-remote.

Questions people ask

Will a search result contain the full answer?

The detailed search schemas do not list an answer-body field. Confirm the actual output before using either tool for full-text analysis.

How can questions and answers be linked?

The search tools list question_id and answer_id. Check which identifiers appear together in each content_type before building links between records.

Can upvotes be compared across all records?

Check content_type and whether upvotes is populated before making comparisons. Keep questions, answers and profiles in separate groups unless their engagement fields have compatible definitions.

Which route fits relationship mapping?

The relationship dataset builder explicitly lists relationship mapping as a use case. Its detailed field list does not describe relationship records, so request an output example before depending on that structure.

What is the cheapest catalogue Actor for Quora data?

Quora Question, Answer & Relationship Dataset Builder lists $0.99 per 1,000 results (pay per event), with 120 fields in its published output schema. Start events and platform usage are billed separately. Checked 2026-11-12.

Which Quora scraper returns the most core fields?

Quora Question, Answer & Relationship Dataset Builder covers 5 of the 6 core Quora fields this page tracks (question, answer, author, votes, url, posted at), based on its published output schema.

Does Quora have an official API?

No open API: Quora does not publish an open public content API for question and answer data. Not applicable.

Is it legal to scrape Quora?

It depends on what you collect and how. Limit collection to public content and check Quora's terms, which prohibit some automated access, before choosing a collection method. Read Quora's terms (https://www.quora.com/about/tos) before you collect, and check whether personal data is involved. This is general information, not legal advice.

More on Quora

Sources

Text updated 2026-11-12 Data checked 2026-11-12
Cite this page

Scraper Finder. "How to get Quora data." https://scraperfinder.com/sites/quora/ (data checked 2026-11-12).

Highest-scoring catalogue Actor

Quora Question, Answer & Relationship Dataset Builder: 5 of 6 core fields, $0.99 per 1,000 results, score 83. The highest score overall is 86 (Quora Scraper (Questions & Answers), a Store tool from another publisher); both are in the table above.

Open in Apify Store