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.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_typetitleurlquestion_idanswer_idauthor_nameupvotesview_countcomments_countcreated_atfollower_countanswer_countdiscovery_sourceaccess_statesource_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
| Actor | Fields it adds | Price / 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
| Setting | Type | Required | Default | What 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
| Setting | Type | Required | Default | What 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.
| Apify plan | Per 1,000 | 10,000 results | 100,000 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.
- 1 Quora Question, Answer & Relationship Dataset Builder 120 output fields, pay per event 5 of 6 core fields
$0.99 / 1K - 2 Quora Space Activity & Content Change Monitor 120 output fields, pay per event 2 of 6 core fields
$0.99 / 1K - 3 Quora Question, Answer & Profile Search Scraper 18 output fields, pay per event 2 of 6 core fields
$0.99 / 1K - 4 Quora Keyword Search & Author Discovery Scraper 15 output fields, pay per event 2 of 6 core fields
$0.99 / 1K - + 8 other Store tools, combined Reference only 5 of 6 core fields
from $1.20 / 1K - API No public content API No open API fields not compared
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.
Other Store tools for Quora
Reference only, from their public listings.
| Tool | Fields | Price / 1K |
|---|---|---|
| Quora Scraper (Questions & Answers) | 120 | $2.99 |
| Quora Questions Scraper | 16 | $1.92 |
| Quora Scraper | 12 | $1.20 |
| Quora Scraper: Questions, Answers and Profiles (No Login) | 28 | $1.90 |
| Quora Scraper | 9 | $2.50 |
What people use it for
- Research discussions
- Discover authors
- Collect answers
Other catalogue Actors for Quora
Quora Question, Answer & Relationship Dataset Builder
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Quora Space Activity & Content Change Monitor
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Quora Question, Answer & Profile Search Scraper
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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
- Quora Keyword Search & Author Discovery Scraper on Apify Store
- Published build with input and output schema (JSON)
- No public content API documentation
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.