Quora Question, Answer & Relationship Dataset Builder: MCP config, n8n workflow and API

Normalized Quora questions, answers, comments, profiles, Spaces, relationship edges, status rows, and a run manifest.

Fastest route, in Claude Code:

claude mcp add --transport http quora-question-answer-and-relationship-dataset "https://mcp.apify.com/?tools=fetch-actor-details,nimbryxo-studio/quora-question-answer-and-relationship-dataset"

One click, signs in with Apify on first use:

Any other client, one command (writes the config for 25+ agents, including Windsurf, Zed, Cline and Goose):

npx add-mcp "https://mcp.apify.com/?tools=fetch-actor-details,nimbryxo-studio/quora-question-answer-and-relationship-dataset" --name quora-question-answer-and-relationship-dataset

Every file on this page is generated from the Actor's published schema: 51 of 51 checks pass (validated, not run)
  • MCP configs: 7 of 7 (Uses Apify's hosted MCP endpoint over HTTPS; The tools parameter lists exactly the chosen Actors as owner/name; JSON configs parse and use the client's top-level key and the same URL; Codex TOML has a [mcp_servers.<name>] table with url and bearer_token_env_var; CLI commands quote the same URL and use the streamable HTTP transport; One-click install links decode back to the same URL and carry no token; Only placeholders, no real token)
  • n8n workflow: 11 of 11 (It has a nodes array and a connections object; Every node has a name, type, typeVersion, position and parameters; Node names are unique; Every node type is a known n8n core node (or the Apify node); Every node uses a typeVersion that n8n ships; Every connection points at an existing node; At least one trigger starts the workflow; Every working node is reachable from a trigger; Apify calls use POST and a credential for the token; Actor input matches the Actor's published input schema; No token or credential value is embedded)
  • long-run workflow: 11 of 11 (It has a nodes array and a connections object; Every node has a name, type, typeVersion, position and parameters; Node names are unique; Every node type is a known n8n core node (or the Apify node); Every node uses a typeVersion that n8n ships; Every connection points at an existing node; At least one trigger starts the workflow; Every working node is reachable from a trigger; Apify calls use POST and a credential for the token; Actor input matches the Actor's published input schema; No token or credential value is embedded)
  • example input: 5 of 5 (The schema has no required fields; Every input key exists in the published input schema; Every value has the type the schema declares; Every choice field uses one of its published options; Numbers respect the published minimum and maximum)
  • code snippets: 4 of 4 (curl calls the documented run-sync-get-dataset-items endpoint for this Actor; Python (apify-client 3.x typed Run) and JavaScript use the official apify-client call() then read the run's dataset; Multi-line shell commands continue every line with a backslash; Token read from APIFY_TOKEN, none embedded)
  • SKILL.md: 13 of 13 (SKILL.md starts with YAML front matter; name is 1-64 lowercase letters, digits and single hyphens; name matches the skill folder name; description is present, at most 1024 characters and has no angle brackets; front matter uses only spec fields; compatibility is at most 500 characters; body has instructions; field descriptions end on whole sentences; no credential values are embedded; the token is read from APIFY_TOKEN; the run command calls this Actor's run-sync endpoint; the example input is valid JSON; the example input matches the published input schema)

What the checks cover

What a run costs

Every run pays a start fee plus a price per result. On the Free plan this Actor's start fee is $0.40 (the start event, $0.10 per GB, times its default 4 GB of memory), $0.12 on Business; results cost $0.99 per 1,000 results (pay per event). Checked 2026-11-12.

Results in one runStartResultsRun total
10$0.40$0.010$0.41
100$0.40$0.10$0.50
1,000$0.40$0.99$1.39

Plus Apify platform usage for the run, which the caller pays. A smaller memory setting lowers the start fee if the Actor still finishes. Prices can change; the Store pricing tab is the source of truth.

MCP config

One URL works in every client: https://mcp.apify.com/?tools=fetch-actor-details,nimbryxo-studio/quora-question-answer-and-relationship-dataset. It exposes this Actor as a tool, plus fetch-actor-details so the agent can read the input schema before calling it. Pick your client:

Claude Code configterminal or .mcp.json

claude mcp add --transport http quora-question-answer-and-relationship-dataset "https://mcp.apify.com/?tools=fetch-actor-details,nimbryxo-studio/quora-question-answer-and-relationship-dataset"

Run the command in your project folder. Add --scope user to make it available in every project. Full Claude Code setup

Tools your agent gets

Listed by Apify's MCP server 0.21.5 for this exact URL on 2026-11-11 (a tools/list call; nothing was run).

  • fetch-actor-detailsreads the input schema
  • get-actor-runchecks a run's status
  • get-dataset-itemsreads a run's results
  • get-key-value-store-recordreads a stored record such as a file or summary
  • abort-actor-runstops a run that is still going
  • nimbryxo-studio--quora-question-answer-and-relationship-datasetruns the Actor and returns its results

n8n workflow

A manual and a daily trigger call the Actor through the HTTP Request node with your Apify token, then hand each record to the destination you pick. The Actor input sits in the request body, already filled with the example below.

Send the records to
  • Run by hand
  • Every day
  • Run Apify Actor

n8n workflowquora-question-answer-and-relationship-dataset.n8n.json

Actor on Apify
{
  "name": "Quora Question, Answer & Relationship Dataset Builder to n8n only",
  "nodes": [
    {
      "id": "8c099922-6cbf-4f00-aca8-42a1abf33b17",
      "name": "Run by hand",
      "type": "n8n-nodes-base.manualTrigger",
      "typeVersion": 1,
      "position": [
        0,
        0
      ],
      "parameters": {}
    },
    {
      "id": "822f6022-40de-416e-ade6-acdf480fe9d7",
      "name": "Every day",
      "type": "n8n-nodes-base.scheduleTrigger",
      "typeVersion": 1.2,
      "position": [
        0,
        200
      ],
      "parameters": {
        "rule": {
          "interval": [
            {
              "triggerAtHour": 8
            }
          ]
        }
      },
      "notes": "Activate the workflow to run on this schedule."
    },
    {
      "id": "91ee4656-1ae4-46bf-aec8-818eb6fd034b",
      "name": "Run Apify Actor",
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4.2,
      "position": [
        260,
        100
      ],
      "parameters": {
        "method": "POST",
        "url": "https://api.apify.com/v2/actors/nimbryxo-studio~quora-question-answer-and-relationship-dataset/run-sync-get-dataset-items",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth",
        "sendBody": true,
        "specifyBody": "json",
        "jsonBody": "{\n  \"mode\": \"auto\",\n  \"scrapeDepth\": \"detail\",\n  \"startUrls\": [\n    {\n      \"url\": \"https://www.quora.com/What-is-the-meaning-of-life\"\n    }\n  ],\n  \"outputFormat\": \"normalized\",\n  \"dedupeMode\": \"canonical\",\n  \"onlyNewItems\": false,\n  \"includeUnchanged\": true,\n  \"includeFieldEvidence\": true,\n  \"includeUnresolvedEdges\": true,\n  \"includeProfileEdges\": false,\n  \"includeQuestionFollowerEdges\": false,\n  \"includeAnswerUpvoterEdges\": false,\n  \"includeSensitiveRelationshipData\": false,\n  \"includeTargetMetadata\": false,\n  \"includeRelationshipCounts\": false,\n  \"includeSpaceRoleEdges\": false,\n  \"includeSpaceContentEdges\": true,\n  \"maxQuestions\": 10,\n  \"maxAnswersPerQuestion\": 5,\n  \"includeQuestion\": true,\n  \"includeAuthor\": true,\n  \"includeAuthorSnapshot\": false,\n  \"includeTopics\": true,\n  \"includeSpaces\": false,\n  \"includeComments\": false,\n  \"includeEngagementBreakdown\": true,\n  \"includeRelatedContent\": false,\n  \"topCommentsOnly\": false,\n  \"includeReplyGraph\": false,\n  \"includeMedia\": false,\n  \"includeFeedText\": false,\n  \"includeOutboundLinks\": false,\n  \"includeEntityGraph\": false,\n  \"maxCommentsPerAnswer\": 0,\n  \"maxCommentDepth\": 20,\n  \"maxGraphEdges\": 1000,\n  \"includeRawEvidence\": false,\n  \"includeHtml\": false,\n  \"redactSensitiveQueryParams\": true,\n  \"maxItemsPerSource\": 0,\n  \"searchDiscovery\": \"relatedOnly\",\n  \"maxRelatedQuestions\": 0,\n  \"searchResultsPerQuery\": 0,\n  \"maxAnswerPages\": 0,\n  \"maxTopicFeedPages\": 0,\n  \"maxSpaceFeedBundles\": 1,\n  \"includeCommentReplies\": false,\n  \"includeQuoraPlusPreview\": true,\n  \"includeProfileStats\": true,\n  \"includeTopicStats\": true,\n  \"includeSpaceStats\": true,\n  \"includePostStats\": true,\n  \"includeAnswerStats\": true,\n  \"includeTopicFeed\": false,\n  \"includeQuestionAudit\": false,\n  \"includeProfileHistory\": false,\n  \"maxProfileHistoryPages\": 0,\n  \"maxRelationshipPages\": 0\n}",
        "options": {
          "timeout": 310000
        }
      },
      "notes": "Actor: nimbryxo-studio/quora-question-answer-and-relationship-dataset. Select a Header Auth credential: name Authorization, value Bearer + your Apify token. Edit the JSON body to change the input.",
      "notesInFlow": false
    },
    {
      "id": "4a78f6fa-3c72-4a1a-ad6e-e18f6b6e698b",
      "name": "Setup",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        0,
        -370
      ],
      "parameters": {
        "content": "## Quora Question, Answer & Relationship Dataset Builder\n\nSource: [nimbryxo-studio/quora-question-answer-and-relationship-dataset](https://apify.com/nimbryxo-studio/quora-question-answer-and-relationship-dataset) on Apify.\n\n1. In **Run Apify Actor**, create a Header Auth credential: name `Authorization`, value `Bearer YOUR_APIFY_TOKEN` with your token.\n2. Click **Execute workflow**. Each record arrives as one n8n item.\n3. Edit the JSON body of **Run Apify Actor** to change the input.\n\nGenerated by recipeforagents.com. Validated, not executed: runs are billed to your Apify account.",
        "height": 340,
        "width": 460,
        "color": 6
      }
    }
  ],
  "connections": {
    "Run by hand": {
      "main": [
        [
          {
            "node": "Run Apify Actor",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Every day": {
      "main": [
        [
          {
            "node": "Run Apify Actor",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "pinData": {},
  "active": false,
  "settings": {
    "executionOrder": "v1"
  },
  "meta": {
    "templateCredsSetupCompleted": false
  },
  "tags": []
}

Import with Workflows, Import from file, or paste into the canvas. Credentials are not included: you select them after import.

All 7 destination variants pass the same checks at build time. Built-in nodes only, at versions n8n has shipped since 1.80: they import on n8n Cloud and older self-hosted instances without community nodes. Prefer Apify's own node? The verified community node @apify/n8n-nodes-apify runs the same Actor with OAuth sign-in on n8n Cloud.

Runs longer than 5 minutes? The synchronous endpoint answers HTTP 408 after 300 seconds. The long-run variant starts the run, checks it every minute until it ends, then reads its dataset (HTTP Request, If and Stop and Error nodes only).

Download the long-run workflow11 of 11 checks pass, not executed

Call it from code

Run the Actor from a script or your own agent framework with the Apify API. The call waits for the run to finish and returns the records. The input is the example below.

curl

API docs on Apify
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"}],"outputFormat":"normalized","dedupeMode":"canonical","onlyNewItems":false,"includeUnchanged":true,"includeFieldEvidence":true,"includeUnresolvedEdges":true,"includeProfileEdges":false,"includeQuestionFollowerEdges":false,"includeAnswerUpvoterEdges":false,"includeSensitiveRelationshipData":false,"includeTargetMetadata":false,"includeRelationshipCounts":false,"includeSpaceRoleEdges":false,"includeSpaceContentEdges":true,"maxQuestions":10,"maxAnswersPerQuestion":5,"includeQuestion":true,"includeAuthor":true,"includeAuthorSnapshot":false,"includeTopics":true,"includeSpaces":false,"includeComments":false,"includeEngagementBreakdown":true,"includeRelatedContent":false,"topCommentsOnly":false,"includeReplyGraph":false,"includeMedia":false,"includeFeedText":false,"includeOutboundLinks":false,"includeEntityGraph":false,"maxCommentsPerAnswer":0,"maxCommentDepth":20,"maxGraphEdges":1000,"includeRawEvidence":false,"includeHtml":false,"redactSensitiveQueryParams":true,"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,"includeQuestionAudit":false,"includeProfileHistory":false,"maxProfileHistoryPages":0,"maxRelationshipPages":0}'

Example input

These values come from the Actor's Store prefill and required defaults. Change the search, URL or limit before your first run.

Actor inputinput.json

{
  "mode": "auto",
  "scrapeDepth": "detail",
  "startUrls": [
    {
      "url": "https://www.quora.com/What-is-the-meaning-of-life"
    }
  ],
  "outputFormat": "normalized",
  "dedupeMode": "canonical",
  "onlyNewItems": false,
  "includeUnchanged": true,
  "includeFieldEvidence": true,
  "includeUnresolvedEdges": true,
  "includeProfileEdges": false,
  "includeQuestionFollowerEdges": false,
  "includeAnswerUpvoterEdges": false,
  "includeSensitiveRelationshipData": false,
  "includeTargetMetadata": false,
  "includeRelationshipCounts": false,
  "includeSpaceRoleEdges": false,
  "includeSpaceContentEdges": true,
  "maxQuestions": 10,
  "maxAnswersPerQuestion": 5,
  "includeQuestion": true,
  "includeAuthor": true,
  "includeAuthorSnapshot": false,
  "includeTopics": true,
  "includeSpaces": false,
  "includeComments": false,
  "includeEngagementBreakdown": true,
  "includeRelatedContent": false,
  "topCommentsOnly": false,
  "includeReplyGraph": false,
  "includeMedia": false,
  "includeFeedText": false,
  "includeOutboundLinks": false,
  "includeEntityGraph": false,
  "maxCommentsPerAnswer": 0,
  "maxCommentDepth": 20,
  "maxGraphEdges": 1000,
  "includeRawEvidence": false,
  "includeHtml": false,
  "redactSensitiveQueryParams": true,
  "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,
  "includeQuestionAudit": false,
  "includeProfileHistory": false,
  "maxProfileHistoryPages": 0,
  "maxRelationshipPages": 0
}

FieldTypeWhat it does
mode string (8 options) Optional dispatcher. auto detects every supported Quora route; typed modes validate startUrls against that route. Typed seed lists still work without mode.
scrapeDepth string (2 options) Overview emits page metadata without answer/comment/feed expansion; detail enables SSR answers plus bounded GraphQL pagination and optional comments/topic feeds.
startUrls array Question, answer, profile, topic, Space, or search URLs. Mixed lists are auto-detected; invalid hosts become status rows instead of failing the run.
outputFormat string (4 options) Projection after one canonical extraction path. Nested groups emitted answers and comments under explicit question/answer parents; flat keeps entity rows with parent context; edges emits explicit edge rows plus status…
dedupeMode string (2 options) canonical suppresses overlapping entity rows by stable ID or canonical URL (default); none preserves every observed non-status row. The run manifest reports duplicate_records_suppressed.
onlyNewItems boolean Annotate canonical entity rows with new/changed/unchanged/scope_mismatch state and suppress only unchanged semantic rows when includeUnchanged is false. Requires stateStoreId; status, graph, and manifest rows remain…
includeUnchanged boolean Retain unchanged semantic entities when incremental state is enabled; output projection does not alter comparison hashes.
includeFieldEvidence boolean Include field_sources and fields_present maps. Disable only when a smaller payload is required; semantic values and protected access fields remain unchanged.
includeUnresolvedEdges boolean Retain relationship rows whose endpoint URL was not explicitly observed, with unresolved_reason. Disabling this suppresses only those edge rows and does not imply complete relationships.
includeProfileEdges boolean Enable explicitly labeled profile follower/following/followed-question/Space/Topic relationship collections. This does not prove a complete list.
includeQuestionFollowerEdges boolean Enable explicitly labeled question follower or want-answer collections. Sensitive identity rows also require the privacy gate.
includeAnswerUpvoterEdges boolean High-sensitivity opt-in for explicitly labeled answer upvoter identities; requires includeSensitiveRelationshipData=true.
includeSensitiveRelationshipData boolean Explicit privacy gate required for follower, want-answer, and upvoter identity edges.
includeTargetMetadata boolean Retain explicitly visible target link text and image (to_name, to_image_url) on relationship edges. URLs remain evidence; no target navigation or recursive target scraping is performed.
includeRelationshipCounts boolean Emit privacy-preserving relationship_collection rows with the real observed total (collection_total_text/collection_total_value) but no target identities. Requires relationship_collection in resultTypes. Observed…
includeSpaceRoleEdges boolean Enable explicitly labeled Space contributor, moderator, and admin collections.
includeSpaceContentEdges boolean Retain bounded explicit Space post/question membership edges; this never claims a complete Space inventory.
maxQuestions integer Maximum question seeds or discovered question pages to process.
maxAnswersPerQuestion integer Maximum answer rows retained per question after SSR and GraphQL pagination.
includeQuestion boolean Retain normalized question parent rows when selected in resultTypes.
includeAuthor boolean Retain visible author fields and profile/profile-activity rows. When false, author fields and author rows are removed from the emitted shape; no contact enrichment is performed.
includeAuthorSnapshot boolean Opt into bounded public profile snapshots for visible author profile links; profile access/status is separate from answer/comment success and never includes contact enrichment.
includeTopics boolean Retain explicit topic links and topic relationships where observed.
includeSpaces boolean Retain Space rows and SSR feed items. Explicit spaceUrls enable this automatically.

60 more optional fields on the Store input tab.

What your agent receives

Each run returns a list of records. The Actor publishes 150 fields, starting with content_type, event_type, state_snapshot_hash, previous_snapshot_hash.

FieldWhat it holdsFormat
content_typeTypetext
event_typeIncremental eventtext
state_snapshot_hashCurrent state hashtext
previous_snapshot_hashPrevious state hashtext
state_scope_fingerprintState scope fingerprinttext
state_store_stateState storetext
state_store_errorState store errortext
only_new_itemsOnly new itemsboolean
include_unchangedInclude unchangedboolean
parser_strategyParser strategytext
30 more fields
FieldWhat it holdsFormat
parser_versionParser versiontext
field_sourcesField sourcesjson
fields_presentFields presentjson
final_urlFinal URLlink
http_statusHTTP statusnumber
errorErrortext
scrape_duration_msDuration (ms)number
navigation_attemptsNavigation attemptsnumber
navigation_retriesNavigation retriesnumber
proxy_resolution_stateProxy statetext
session_input_stateSession inputtext
browser_localeBrowser localetext
navigation_retry_delays_secondsRetry delaysjson
records_emittedRecords emittednumber
input_accountingInput accountingjson
session_cookie_countSession cookie countnumber
session_cookie_expiry_stateCookie expirytext
run_duration_msRun duration (ms)number
proxy_usedProxy usedboolean
request_delay_secondsRequest delay (s)number
scrape_timestampScrape timestamptext
requested_result_typesRequested result typesjson
run_started_atRun startedtext
run_finished_atRun finishedtext
source_pages_attemptedSource pages attemptednumber
content_type_countsContent type countsjson
access_state_countsAccess state countsjson
relationship_collection_diagnosticRelationship collection diagnosticjson
manifest_versionManifest versiontext
requested_output_fieldsRequested output fieldsjson

110 more fields in the full output.

Agent skill

A SKILL.md in the open Agent Skills format. It teaches Claude Code, Codex and other skill-aware agents when to call this Actor, how to build the input and how to read the result, using the API directly.

SKILL.mdquora-question-answer-and-relationship-dataset/SKILL.md

---
name: quora-question-answer-and-relationship-dataset
description: "Normalized Quora questions, answers, comments, profiles, Spaces, relationship edges, status rows, and a run manifest. Runs the Apify Actor nimbryxo-studio/quora-question-answer-and-relationship-dataset. Use when the user needs Quora data with fields such as content_type, event_type, state_snapshot_hash, previous_snapshot_hash, state_scope_fingerprint, state_store_state and an Apify token is available."
compatibility: "Needs network access, curl, and an APIFY_TOKEN environment variable. Runs are billed to the token owner's Apify account."
metadata:
  actor: "nimbryxo-studio/quora-question-answer-and-relationship-dataset"
  store-url: "https://apify.com/nimbryxo-studio/quora-question-answer-and-relationship-dataset"
---

# Quora Question, Answer & Relationship Dataset Builder

Use this skill to fetch Quora data with the Apify Actor `nimbryxo-studio/quora-question-answer-and-relationship-dataset` and work with the returned rows.

## Before running

1. Check that `APIFY_TOKEN` is set in the environment. Never print it or write it to a file.
2. Build `input.json` from the user's request using the fields below. Keep limits small for a first run.
3. Confirm the search terms or URLs with the user if the request is ambiguous.

## Input fields

| Field | Type | Meaning |
| --- | --- | --- |
| `mode` | one of `auto`, `byQuestionUrls`, `byAnswerUrls`, `byProfileUrls`, `byTopicUrls`, `bySpaceUrls`, `byPostUrls`, `search` | Optional dispatcher. auto detects every supported Quora route; typed modes validate startUrls against that route. Typed seed lists still work without mode. |
| `scrapeDepth` | one of `overview`, `detail` | Overview emits page metadata without answer/comment/feed expansion; detail enables SSR answers plus bounded GraphQL pagination and optional comments/topic feeds. |
| `startUrls` | array | Question, answer, profile, topic, Space, or search URLs. Mixed lists are auto-detected; invalid hosts become status rows instead of failing the run. |
| `outputFormat` | one of `normalized`, `nested`, `flat`, `edges` | Projection after one canonical extraction path. Nested groups emitted answers and comments under explicit question/answer parents; flat keeps entity rows with parent context; edges emits explicit edge rows plus status rows. |
| `dedupeMode` | one of `canonical`, `none` | canonical suppresses overlapping entity rows by stable ID or canonical URL (default); none preserves every observed non-status row. The run manifest reports duplicate_records_suppressed. |
| `onlyNewItems` | boolean | Annotate canonical entity rows with new/changed/unchanged/scope_mismatch state and suppress only unchanged semantic rows when includeUnchanged is false. Requires stateStoreId; status, graph, and manifest rows remain visible. |
| `includeUnchanged` | boolean | Retain unchanged semantic entities when incremental state is enabled; output projection does not alter comparison hashes. |
| `includeFieldEvidence` | boolean | Include field_sources and fields_present maps. Disable only when a smaller payload is required; semantic values and protected access fields remain unchanged. |
| `includeUnresolvedEdges` | boolean | Retain relationship rows whose endpoint URL was not explicitly observed, with unresolved_reason. Disabling this suppresses only those edge rows and does not imply complete relationships. |
| `includeProfileEdges` | boolean | Enable explicitly labeled profile follower/following/followed-question/Space/Topic relationship collections. This does not prove a complete list. |
| `includeQuestionFollowerEdges` | boolean | Enable explicitly labeled question follower or want-answer collections. Sensitive identity rows also require the privacy gate. |
| `includeAnswerUpvoterEdges` | boolean | High-sensitivity opt-in for explicitly labeled answer upvoter identities; requires includeSensitiveRelationshipData=true. |
| `includeSensitiveRelationshipData` | boolean | Explicit privacy gate required for follower, want-answer, and upvoter identity edges. |
| `includeTargetMetadata` | boolean | Retain explicitly visible target link text and image (to_name, to_image_url) on relationship edges. URLs remain evidence; no target navigation or recursive target scraping is performed. |

Example `input.json` (the Actor's published prefill):

```json
{
  "mode": "auto",
  "scrapeDepth": "detail",
  "startUrls": [
    {
      "url": "https://www.quora.com/What-is-the-meaning-of-life"
    }
  ],
  "outputFormat": "normalized",
  "dedupeMode": "canonical",
  "onlyNewItems": false,
  "includeUnchanged": true,
  "includeFieldEvidence": true,
  "includeUnresolvedEdges": true,
  "includeProfileEdges": false,
  "includeQuestionFollowerEdges": false,
  "includeAnswerUpvoterEdges": false,
  "includeSensitiveRelationshipData": false,
  "includeTargetMetadata": false,
  "includeRelationshipCounts": false,
  "includeSpaceRoleEdges": false,
  "includeSpaceContentEdges": true,
  "maxQuestions": 10,
  "maxAnswersPerQuestion": 5,
  "includeQuestion": true,
  "includeAuthor": true,
  "includeAuthorSnapshot": false,
  "includeTopics": true,
  "includeSpaces": false,
  "includeComments": false,
  "includeEngagementBreakdown": true,
  "includeRelatedContent": false,
  "topCommentsOnly": false,
  "includeReplyGraph": false,
  "includeMedia": false,
  "includeFeedText": false,
  "includeOutboundLinks": false,
  "includeEntityGraph": false,
  "maxCommentsPerAnswer": 0,
  "maxCommentDepth": 20,
  "maxGraphEdges": 1000,
  "includeRawEvidence": false,
  "includeHtml": false,
  "redactSensitiveQueryParams": true,
  "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,
  "includeQuestionAudit": false,
  "includeProfileHistory": false,
  "maxProfileHistoryPages": 0,
  "maxRelationshipPages": 0
}
```

## Run

```bash
curl -sS -X POST "https://api.apify.com/v2/acts/nimbryxo-studio~quora-question-answer-and-relationship-dataset/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d @input.json > results.json
```

The call waits for the run to finish and returns the dataset items as a JSON array. If the run needs more than 300 seconds the API answers with HTTP 408; then start the run with `POST /v2/acts/nimbryxo-studio~quora-question-answer-and-relationship-dataset/runs`, poll `GET /v2/actor-runs/{runId}` until `SUCCEEDED`, and read `GET /v2/datasets/{defaultDatasetId}/items`.

## Output

Each item is one record. Published fields include: `content_type`, `event_type`, `state_snapshot_hash`, `previous_snapshot_hash`, `state_scope_fingerprint`, `state_store_state`, `state_store_error`, `only_new_items`, `include_unchanged`, `parser_strategy`, `parser_version`, `field_sources`, `fields_present`, `final_url`, `http_status`, `error`, `scrape_duration_ms`, `navigation_attempts`, `navigation_retries`, `proxy_resolution_state`.

Summarise what was found, cite the record URLs when present, and say how many items came back. Do not invent values for empty fields.

  • Claude Code: save it as ~/.claude/skills/quora-question-answer-and-relationship-dataset/SKILL.md, or .claude/skills/quora-question-answer-and-relationship-dataset/SKILL.md in a project.
  • Codex and other agents: ~/.agents/skills/quora-question-answer-and-relationship-dataset/SKILL.md, or .agents/skills/quora-question-answer-and-relationship-dataset/ in a project.
  • Or let the skills CLI place it for your agent: npx skills add https://recipeforagents.com --skill quora-question-answer-and-relationship-dataset
  • Set APIFY_TOKEN in the agent's environment.

Troubleshooting

Why does the client say Unauthorized or invalid token?

Every Apify Actor tool needs a signed-in Apify account. Reconnect the server so the OAuth sign-in runs again, or switch to the token variant: an Authorization: Bearer header with an API token from Apify Console, Settings, API and integrations. For a local server the token must be in the server's own env block, not only in your shell.

Source: Apify MCP server README

Why did my agent's tool list change after an update?

Without a tools parameter Apify's server loads its default tool set, which changes between releases. The URLs on this site pin the tools with ?tools=, so the agent always gets the same Actor tool plus fetch-actor-details. Apify's README gives the same advice for production.

Source: Apify MCP server README

What happens when the agent sends input the Actor rejects?

The server answers with the Actor's input schema, so the agent can fix the arguments and call again. The fetch-actor-details tool in every scoped URL lets it read that schema before the first call.

Source: Apify MCP server README

Questions

How do I connect Quora Question, Answer & Relationship Dataset Builder to Claude?

In Claude Code run: claude mcp add --transport http quora-question-answer-and-relationship-dataset "https://mcp.apify.com/?tools=fetch-actor-details,nimbryxo-studio/quora-question-answer-and-relationship-dataset". In Claude Desktop or claude.ai add a custom connector with the URL https://mcp.apify.com/?tools=fetch-actor-details,nimbryxo-studio/quora-question-answer-and-relationship-dataset and sign in to Apify. The agent then gets one tool for this Actor plus a tool that reads its input schema.

What input does Quora Question, Answer & Relationship Dataset Builder need?

No field is required by the published input schema. The example on this page uses the Actor's own Store prefill, so it is a sensible first run.

What does Quora Question, Answer & Relationship Dataset Builder cost to run?

The Apify Store lists $0.99 per 1,000 results (pay per event) for this Actor, checked 2026-11-12. Runs are billed to the Apify account whose token or sign-in the agent uses; Apify platform usage can add to that.

Which tools does the MCP config give my agent?

6 tools: fetch-actor-details, get-actor-run, get-dataset-items, get-key-value-store-record, abort-actor-run, nimbryxo-studio--quora-question-answer-and-relationship-dataset. Apify's MCP server listed them for this exact URL on 2026-11-11.