Quora Keyword Search & Author Discovery Scraper

Search Quora by keyword or scrape visibly accessible question, answer, profile, topic, Space, and Post URLs directly, with filters for promoted cards, AI-labeled answers, unanswered questions, and author discovery across your results.

Open in Apify Store$0.99 / 1K on Free

Short answer

Quora Keyword Search & Author Discovery Scraper is an Apify Store Actor for Quora data that returns 15 published output fields, including url, author_name, source_url, content_type. It lists $0.99 per 1,000 results on the Free plan (pay per event), $0.49 on the Business plan. It takes 23 input settings, none required. It covers 2 of the 6 core Quora fields this site tracks. Last updated Oct 24, 2026.

From the public Store listing and published build schema, synced 2026-11-12.
Quora Social mediaLead generationSEO

What it returns

15 fields from the published dataset schema. Export as JSON, CSV or Excel, or read the dataset through the Apify API.

  • content_type
  • title
  • url
  • question_id
  • answer_id
  • author_name
  • upvotes
  • view_count
  • comments_count
  • created_at
  • follower_count
  • answer_count
  • discovery_source
  • access_state
  • source_url

Not in the schema among the core Quora fields: question, answer, votes, posted_at. The field matrix shows which other tools return them.

How it differs from the other Quora Actors

Every field it publishes also appears in at least one of the other 3 catalogue Actors for Quora with a schema, so pick on price, input options and the fields below.

Pick another Actor if you need

Fields other Quora catalogue Actors return that Quora Keyword Search & Author Discovery Scraper does not
ActorFields it addsPrice / 1K
Quora Question, Answer & Relationship Dataset Builder event_type, state_snapshot_hash, previous_snapshot_hash, state_scope_fingerprint $0.99
Quora Space Activity & Content Change Monitor parser_strategy, parser_version, field_sources, fields_present $0.99
Quora Question, Answer & Profile Search Scraper search_rank, search_result_type, source_query $0.99

Input

Input settings for Quora Keyword Search & Author Discovery Scraper
SettingTypeRequiredDefaultWhat it does
mode string No urls What to scrape. `urls` follows pasted Quora links. `search` discovers indexed question links for your keywords and expands related questions. `authors` builds author profiles from pasted profile or question URLs.
directUrls array No – Paste question, answer, profile, or topic URLs. Language subdomains such as es.quora.com are accepted. Invalid links are reported as status rows.
searchQueries array No [] Best-effort keyword discovery. Quora's own search page is gated for anonymous visitors, so results depend on the public web index; a run with no indexed matches returns a clear status row instead of invented results.
usernames array No [] Quora profile slugs, with or without a leading @ or trailing slash. Converted to profile URLs and merged with Quora URLs.
resultTypes array No ["question","answer"] Which entity rows to emit. Status and run-manifest rows are always written when relevant.
includeAnswers boolean No true Emit answer rows and fetch answers beyond the first visible cards on question pages.
maxAnswersPerQuestion integer No 20 Answer cap for each question URL. Zero emits no answers from question pages.
includeRelatedQuestions boolean No false Follow the related-question links on each question page and scrape those questions too. This is the reliable discovery path when keyword search is gated.
maxRelatedQuestions integer No 15 Related questions retained per question page and used as discovery seeds. Zero keeps all observed related questions.
includeAuthorProfiles boolean No true Open each discovered author's profile to add followers, following, answer/question counts, views, join date, and credential.
Show the other 13 settings
More input settings for Quora Keyword Search & Author Discovery Scraper
SettingTypeRequiredDefaultWhat it does
maxAuthors integer No 100 Maximum unique author rows emitted from answer evidence.
minAnswerUpvotes integer No 0 Drop answers below this upvote count. Answers with no explicit upvote count are excluded when this is above zero.
filterAiAnswers string No include Include all answers, exclude answers explicitly labelled as AI, or keep only those AI-labelled answers.
answerSortOrder string No observed Keep Quora's observed order, or sort by explicit upvotes or creation time.
includeMedia boolean No false Retain image and video links embedded in answer content.
includeOutboundLinks boolean No false Retain external links embedded in answer content.
includeAnswerHtml boolean No true Retain a simple HTML rendering of each answer alongside its plain text.
includeProfileSensitiveFields boolean No true Include location, employment, education, and join date on profile and author rows.
includeSocialLinks boolean No true Include website and social links found on a profile.
maxItems integer No 200 Hard cap on real data rows across the run. Status and manifest rows do not consume the cap.
maxItemsPerSource integer No 0 Cap real rows emitted from each URL or keyword. Zero means no per-source cap.
includeFieldEvidence boolean No true Add field_sources and fields_present metadata so each value can be traced to the page payload.
onlyUnanswered boolean No false Keep only questions whose explicit answer count is exactly zero. Unknown counts are excluded.

Example input

Built from the input form's published example values and defaults.

{
  "mode": "urls",
  "directUrls": [
    "https://www.quora.com/What-is-Python-primarily-used-for"
  ],
  "searchQueries": [],
  "usernames": [],
  "resultTypes": [
    "question",
    "answer"
  ],
  "includeAnswers": true,
  "maxAnswersPerQuestion": 2,
  "includeRelatedQuestions": false,
  "maxRelatedQuestions": 0,
  "includeAuthorProfiles": false,
  "maxAuthors": 20,
  "minAnswerUpvotes": 0,
  "filterAiAnswers": "include",
  "answerSortOrder": "observed",
  "includeMedia": false,
  "includeOutboundLinks": false,
  "includeAnswerHtml": false,
  "includeProfileSensitiveFields": true,
  "includeSocialLinks": true,
  "maxItems": 3,
  "maxItemsPerSource": 0,
  "includeFieldEvidence": true,
  "onlyUnanswered": false
}

Run it from code or an AI agent

The same run through the Apify API, with the example input. You need an Apify API token; the run is billed to your account at the Store price.

Python

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run_input = {
    "mode": "urls",
    "directUrls": [
        "https://www.quora.com/What-is-Python-primarily-used-for"
    ],
    "searchQueries": [],
    "usernames": [],
    "resultTypes": [
        "question",
        "answer"
    ],
    "includeAnswers": True,
    "maxAnswersPerQuestion": 2,
    "includeRelatedQuestions": False,
    "maxRelatedQuestions": 0,
    "includeAuthorProfiles": False,
    "maxAuthors": 20,
    "minAnswerUpvotes": 0,
    "filterAiAnswers": "include",
    "answerSortOrder": "observed",
    "includeMedia": False,
    "includeOutboundLinks": False,
    "includeAnswerHtml": False,
    "includeProfileSensitiveFields": True,
    "includeSocialLinks": True,
    "maxItems": 3,
    "maxItemsPerSource": 0,
    "includeFieldEvidence": True,
    "onlyUnanswered": False
}

run = client.actor("vexaloom-labs/quora-keyword-search-and-author-discovery-scraper").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": "urls",
    "directUrls": [
        "https://www.quora.com/What-is-Python-primarily-used-for"
    ],
    "searchQueries": [],
    "usernames": [],
    "resultTypes": [
        "question",
        "answer"
    ],
    "includeAnswers": true,
    "maxAnswersPerQuestion": 2,
    "includeRelatedQuestions": false,
    "maxRelatedQuestions": 0,
    "includeAuthorProfiles": false,
    "maxAuthors": 20,
    "minAnswerUpvotes": 0,
    "filterAiAnswers": "include",
    "answerSortOrder": "observed",
    "includeMedia": false,
    "includeOutboundLinks": false,
    "includeAnswerHtml": false,
    "includeProfileSensitiveFields": true,
    "includeSocialLinks": true,
    "maxItems": 3,
    "maxItemsPerSource": 0,
    "includeFieldEvidence": true,
    "onlyUnanswered": false
};

const run = await client.actor("vexaloom-labs/quora-keyword-search-and-author-discovery-scraper").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/vexaloom-labs~quora-keyword-search-and-author-discovery-scraper/run-sync-get-dataset-items"   -H "Authorization: Bearer $APIFY_TOKEN"   -H "Content-Type: application/json"   -d '{"mode":"urls","directUrls":["https://www.quora.com/What-is-Python-primarily-used-for"],"searchQueries":[],"usernames":[],"resultTypes":["question","answer"],"includeAnswers":true,"maxAnswersPerQuestion":2,"includeRelatedQuestions":false,"maxRelatedQuestions":0,"includeAuthorProfiles":false,"maxAuthors":20,"minAnswerUpvotes":0,"filterAiAnswers":"include","answerSortOrder":"observed","includeMedia":false,"includeOutboundLinks":false,"includeAnswerHtml":false,"includeProfileSensitiveFields":true,"includeSocialLinks":true,"maxItems":3,"maxItemsPerSource":0,"includeFieldEvidence":true,"onlyUnanswered":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=vexaloom-labs/quora-keyword-search-and-author-discovery-scraper",
      "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.

What a run costs

The result rate falls on higher Apify plans. Each figure is the published per-result rate times the number of results.

Cost of Quora Keyword Search & Author Discovery Scraper results by Apify plan
Apify planPer 1,00010,000 results100,000 results
Free plan$0.99$9.90$99
Starter plan$0.82$8.20$82
Scale plan$0.66$6.60$66
Business plan$0.49$4.90$49
  • Every run also has a start event, charged per GB of memory (minimum one): $0.10 on Free, $0.03 on Business. At its default memory of 4 GB a run starts at $0.40 on Free. Fewer, larger runs keep this small.
  • The Free plan includes $5 of monthly usage (Apify pricing, checked 2026-11-11); at the Free rate that covers at most about 5,050 results, less start events and platform usage.
  • Worked example: 10,000 results in one run on the Free plan cost $10.30 ($9.90 for results + $0.40 start), plus Apify platform usage (compute), billed separately by Apify.
  • Pay per event. Platform usage (compute) is billed by Apify on top of the event prices. Compare other tools in the cost estimator.

Where it fits among Quora routes

It ranks 4 of 4 catalogue Actors for Quora on the published formula (fields, price, reliability, freshness). Its line is highlighted on the map.

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.

Official route: No public content API

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

Not applicable.

Official documentation

Other Store tools for Quora

Reference only, from their public listings.

Other Store tools for Quora
ToolFieldsPrice / 1K
Quora Scraper (Questions & Answers)120$2.99
Quora Questions Scraper16$1.92
Quora Scraper12$1.20
Quora Scraper: Questions, Answers and Profiles (No Login)28$1.90
Quora Scraper9$2.50

What people use it for

  • Research discussions
  • Discover authors
  • Collect answers

Other 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

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

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

Facebook Page & Profile Finder by Keyword or URL

Find Facebook Pages or public profiles by keyword, or scrape a list of Facebook URLs directly, and get back contact info, category, ratings,…

10 output fields $0.99 per 1K

LinkedIn Keyword & Hashtag Post Discovery Scraper

Search LinkedIn posts by keyword or hashtag with filters for date, author type, industry, connection degree, mentions, and minimum reactions.…

9 output fields $0.99 per 1K

TikTok Keyword Search & Discovery Scraper

Search TikTok by keyword or phrase and get matching videos with engagement stats, author profiles, music metadata, hashtags, and location tags,…

13 output fields $0.99 per 1K

Instagram Profile Scraper - Bio & Posts

Scrape public Instagram profiles from a list of usernames: bio, followers, following, post count, verified badge and bio links. Add recent posts…

25 output fields $0.70 per 1K

LinkedIn Profile Engagement Timeline Scraper

Pull a LinkedIn profile's posts, reposts, comments, and reactions in one run, with the original post's author, text, and link attached to each…

10 output fields $0.99 per 1K

LinkedIn Profile Feed Scraper with Likers & Commenters

Pull posts from a LinkedIn profile's activity feed or a direct post URL, with engagement counts, hashtags, media, and optionally the people who…

15 output fields $0.99 per 1K

Questions people ask

How much does Quora Keyword Search & Author Discovery Scraper cost?

The published result rate depends on your Apify plan: $0.99 per 1,000 on Free, $0.82 per 1,000 on Starter, $0.66 per 1,000 on Scale, $0.49 per 1,000 on Business. So 10,000 results cost about $9.90 on the Free plan and $4.90 on Business, plus a start fee of $0.10 per run per GB of memory on Free. Platform usage is billed separately.

What data does Quora Keyword Search & Author Discovery Scraper return?

Its published output schema lists 15 fields: content_type, title, url, question_id, answer_id, author_name, upvotes, view_count, comments_count, created_at, follower_count, answer_count, and 3 more. A listed field is not guaranteed to be filled in every row.

What input does Quora Keyword Search & Author Discovery Scraper need?

No input is strictly required; the defaults run as is. Common settings: mode, directUrls, searchQueries, usernames, resultTypes, includeAnswers.

What are the alternatives to Quora Keyword Search & Author Discovery Scraper for Quora?

4 catalogue Actors cover Quora. Close alternatives: Quora Question, Answer & Relationship Dataset Builder; Quora Space Activity & Content Change Monitor; Quora Question, Answer & Profile Search Scraper. The Quora page compares all of them field by field.

How do I run Quora Keyword Search & Author Discovery Scraper from Python or the API?

Use the Apify API client: in Python, ApifyClient(token).actor("vexaloom-labs/quora-keyword-search-and-author-discovery-scraper").call(run_input=...), then read the run's default dataset (run.default_dataset_id); in JavaScript the same call is client.actor("vexaloom-labs/quora-keyword-search-and-author-discovery-scraper").call(input). Without a client, POST the input JSON to https://api.apify.com/v2/actors/vexaloom-labs~quora-keyword-search-and-author-discovery-scraper/run-sync-get-dataset-items with your API token. Ready-to-paste code with the example input is on this page.

Sources

Actor updated 2026-10-24 Data synced 2026-11-12
Cite this page

Scraper Finder. "Quora Keyword Search & Author Discovery Scraper." https://scraperfinder.com/catalogue/quora-keyword-search-and-author-discovery-scraper/ (data checked 2026-11-12).

Run Quora Keyword Search & Author Discovery Scraper

$0.99 per 1,000 results. Paste the example input above, set your Quora query, then export the dataset. Still choosing? Compare every Quora route.

Open in Apify Store