Snapchat Spotlight Comment & Reaction Scraper: MCP config, n8n workflow and API

Snapchat Spotlight comments and replies with commenter details, reactions, moderation fields, timestamps and hydrated video context.

Fastest route, in Claude Code:

claude mcp add --transport http snapchat-spotlight-comment-and-reaction-scraper "https://mcp.apify.com/?tools=fetch-actor-details,dataspryva/snapchat-spotlight-comment-and-reaction-scraper"

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,dataspryva/snapchat-spotlight-comment-and-reaction-scraper" --name snapchat-spotlight-comment-and-reaction-scraper

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 (All 1 required input field is present; 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,dataspryva/snapchat-spotlight-comment-and-reaction-scraper. 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 snapchat-spotlight-comment-and-reaction-scraper "https://mcp.apify.com/?tools=fetch-actor-details,dataspryva/snapchat-spotlight-comment-and-reaction-scraper"

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
  • dataspryva--snapchat-spotlight-comment-and-reaction-scraperruns 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 workflowsnapchat-spotlight-comment-and-reaction-scraper.n8n.json

Actor on Apify
{
  "name": "Snapchat Spotlight Comment & Reaction Scraper to n8n only",
  "nodes": [
    {
      "id": "14f3bf42-e98b-46fc-aa5d-7e05cce2bcdf",
      "name": "Run by hand",
      "type": "n8n-nodes-base.manualTrigger",
      "typeVersion": 1,
      "position": [
        0,
        0
      ],
      "parameters": {}
    },
    {
      "id": "2606e2e2-4fd5-44ea-a5ad-fa6bc294e1a7",
      "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": "6f49fd3e-78e2-4203-ae74-c8f62e291433",
      "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/dataspryva~snapchat-spotlight-comment-and-reaction-scraper/run-sync-get-dataset-items",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth",
        "sendBody": true,
        "specifyBody": "json",
        "jsonBody": "{\n  \"mode\": \"byUsername\",\n  \"usernames\": [\n    \"brentrivera\"\n  ],\n  \"topics\": [\n    \"food\"\n  ],\n  \"country\": \"US\",\n  \"maxVideosPerSource\": 1,\n  \"maxCommentsPerVideo\": 3,\n  \"includeReplies\": false,\n  \"maxItems\": 3\n}",
        "options": {
          "timeout": 310000
        }
      },
      "notes": "Actor: dataspryva/snapchat-spotlight-comment-and-reaction-scraper. Select a Header Auth credential: name Authorization, value Bearer + your Apify token. Edit the JSON body to change the input.",
      "notesInFlow": false
    },
    {
      "id": "cb808e4a-8cec-41a6-a183-94eb477a3123",
      "name": "Setup",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        0,
        -370
      ],
      "parameters": {
        "content": "## Snapchat Spotlight Comment & Reaction Scraper\n\nSource: [dataspryva/snapchat-spotlight-comment-and-reaction-scraper](https://apify.com/dataspryva/snapchat-spotlight-comment-and-reaction-scraper) 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/dataspryva~snapchat-spotlight-comment-and-reaction-scraper/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"mode":"byUsername","usernames":["brentrivera"],"topics":["food"],"country":"US","maxVideosPerSource":1,"maxCommentsPerVideo":3,"includeReplies":false,"maxItems":3}'

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": "byUsername",
  "usernames": [
    "brentrivera"
  ],
  "topics": [
    "food"
  ],
  "country": "US",
  "maxVideosPerSource": 1,
  "maxCommentsPerVideo": 3,
  "includeReplies": false,
  "maxItems": 3
}

FieldTypeWhat it does
mode required string (4 options) Choose what to scrape: specific Spotlight videos, creator profiles, hashtags/topics, or the trending country feed.
usernames array (mode=byUsername) Snapchat usernames, @names, /add/name or /@name profile URLs.
topics array (mode=byTopic) Hashtags or topics, or /tag, /explore and /topic URLs.
country string (249 options) (mode=byFeed) Country whose trending Spotlight feed is used.
maxVideosPerSource integer For username, topic and feed modes, stop after this many Spotlight videos per source. Ignored for explicit URLs.
maxCommentsPerVideo integer Maximum comment rows per Spotlight video, including replies when enabled. Set high (for example 100000) for the full public thread.
includeReplies boolean Emit direct replies as separate rows with parentCommentId and depth 1.
maxItems integer Global cap on dataset rows. The default is effectively unlimited for backward compatibility.

1 more optional field on the Store input tab.

What your agent receives

Each run returns a list of records. The Actor publishes 52 fields, starting with commentId, snapId, snapUrl, sourceUsername.

FieldWhat it holdsFormat
recordTypeRow type: comment or errorstring
commentIdUnique comment ID (highBits-lowBits)string
snapIdSpotlight snap ID this comment belongs tostring
snapUrlCanonical Spotlight video URLstring
sourceUsernameCreator username (byUsername mode)string
inputUrlInput Spotlight URL (bySpotlightUrls mode)string
topicHashtag or topic slug (byTopic mode)string
topicUrlTag, explore or topic page used for discoverystring
feedCountryISO country code of the trending feed (byFeed mode)string
parentCommentIdParent comment ID for reply rowsstring
30 more fields
FieldWhat it holdsFormat
depth0 for root comments, 1 for repliesinteger
replyTextComment or reply textstring
postedAtISO 8601 UTC time the comment was postedstring
updatedAtISO 8601 UTC time the comment state last changedstring
threadedReplyCountNumber of direct repliesinteger
commenterDisplayNameCommenter display namestring
commenterBitmojiAvatarIdCommenter Bitmoji avatar IDstring
commenterBitmojiSelfieIdCommenter Bitmoji selfie IDstring
commenterProfileLogoUrlCommenter profile logo URLstring
commenterIdCommenter account UUID pairstring
commenterProfileIdCommenter business profile UUID pairstring
commenterUsernameCommenter username when Snapchat exposes itstring
commenterProfileUrlCommenter profile URL when a username is availablestring
commenterIsPostAuthorWhether the commenter is the video creatorboolean
reactionCountsReaction breakdown [{reactTypeId, count}]array
likeCountSum of all reaction countsinteger
reportCountNumber of times the comment was reportedinteger
approvalStateModeration state (3 = approved)integer
rankingScoreSnapchat ranking score when presentnumber
creatorUsernameVideo creator usernamestring
creatorDisplayNameVideo creator display namestring
creatorProfileUrlVideo creator profile URLstring
creatorIsOfficialEmitted only when the creator is officially verifiedboolean
videoCaptionVideo caption or descriptionstring
videoHashtagsHashtags attached to the videoarray
videoThumbnailUrlVideo thumbnail URLstring
videoUrlWatermarked video URLstring
videoDurationSecondsVideo duration in secondsnumber
videoWidthVideo width in pixelsinteger
videoHeightVideo height in pixelsinteger

12 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.mdsnapchat-spotlight-comment-and-reaction-scraper/SKILL.md

---
name: snapchat-spotlight-comment-and-reaction-scraper
description: "Snapchat Spotlight comments and replies with commenter details, reactions, moderation fields, timestamps and hydrated video context. Runs the Apify Actor dataspryva/snapchat-spotlight-comment-and-reaction-scraper. Use when the user needs Snapchat data with fields such as recordType, commentId, snapId, snapUrl, sourceUsername, inputUrl 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: "dataspryva/snapchat-spotlight-comment-and-reaction-scraper"
  store-url: "https://apify.com/dataspryva/snapchat-spotlight-comment-and-reaction-scraper"
---

# Snapchat Spotlight Comment & Reaction Scraper

Use this skill to fetch Snapchat data with the Apify Actor `dataspryva/snapchat-spotlight-comment-and-reaction-scraper` 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 `bySpotlightUrls`, `byUsername`, `byTopic`, `byFeed`, required | Choose what to scrape: specific Spotlight videos, creator profiles, hashtags/topics, or the trending country feed. |
| `usernames` | array | (mode=byUsername) Snapchat usernames, @names, /add/name or /@name profile URLs. |
| `topics` | array | (mode=byTopic) Hashtags or topics, or /tag, /explore and /topic URLs. |
| `country` | string | (mode=byFeed) Country whose trending Spotlight feed is used. |
| `maxVideosPerSource` | integer | For username, topic and feed modes, stop after this many Spotlight videos per source. Ignored for explicit URLs. |
| `maxCommentsPerVideo` | integer | Maximum comment rows per Spotlight video, including replies when enabled. Set high (for example 100000) for the full public thread. |
| `includeReplies` | boolean | Emit direct replies as separate rows with parentCommentId and depth 1. |
| `maxItems` | integer | Global cap on dataset rows. The default is effectively unlimited for backward compatibility. |

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

```json
{
  "mode": "byUsername",
  "usernames": [
    "brentrivera"
  ],
  "topics": [
    "food"
  ],
  "country": "US",
  "maxVideosPerSource": 1,
  "maxCommentsPerVideo": 3,
  "includeReplies": false,
  "maxItems": 3
}
```

## Run

```bash
curl -sS -X POST "https://api.apify.com/v2/acts/dataspryva~snapchat-spotlight-comment-and-reaction-scraper/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/dataspryva~snapchat-spotlight-comment-and-reaction-scraper/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: `recordType`, `commentId`, `snapId`, `snapUrl`, `sourceUsername`, `inputUrl`, `topic`, `topicUrl`, `feedCountry`, `parentCommentId`, `depth`, `replyText`, `postedAt`, `updatedAt`, `threadedReplyCount`, `commenterDisplayName`, `commenterBitmojiAvatarId`, `commenterBitmojiSelfieId`, `commenterProfileLogoUrl`, `commenterId`.

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/snapchat-spotlight-comment-and-reaction-scraper/SKILL.md, or .claude/skills/snapchat-spotlight-comment-and-reaction-scraper/SKILL.md in a project.
  • Codex and other agents: ~/.agents/skills/snapchat-spotlight-comment-and-reaction-scraper/SKILL.md, or .agents/skills/snapchat-spotlight-comment-and-reaction-scraper/ in a project.
  • Or let the skills CLI place it for your agent: npx skills add https://recipeforagents.com --skill snapchat-spotlight-comment-and-reaction-scraper
  • 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 Snapchat Spotlight Comment & Reaction Scraper to Claude?

In Claude Code run: claude mcp add --transport http snapchat-spotlight-comment-and-reaction-scraper "https://mcp.apify.com/?tools=fetch-actor-details,dataspryva/snapchat-spotlight-comment-and-reaction-scraper". In Claude Desktop or claude.ai add a custom connector with the URL https://mcp.apify.com/?tools=fetch-actor-details,dataspryva/snapchat-spotlight-comment-and-reaction-scraper 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 Snapchat Spotlight Comment & Reaction Scraper need?

The published input schema requires mode. The example on this page uses the Actor's own Store prefill.

What does Snapchat Spotlight Comment & Reaction Scraper 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, dataspryva--snapchat-spotlight-comment-and-reaction-scraper. Apify's MCP server listed them for this exact URL on 2026-11-11.