Snapchat Spotlight Hashtag Video Extractor: MCP config, n8n workflow and API

Snapchat Spotlight searches return video records with creator details, engagement counts, media links and hashtag context. They fit topic research that needs traceable video URLs and comparable viewing, sharing and commenting activity.

Choose mode and supply hashtags for topic searches or spotlightUrls for specific videos; feedPages controls paginated feed collection.

Fastest route, in Claude Code:

claude mcp add --transport http snapchat-spotlight-hashtag-video-extractor "https://mcp.apify.com/?tools=fetch-actor-details,vexaloom-labs/snapchat-spotlight-hashtag-video-extractor"

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,vexaloom-labs/snapchat-spotlight-hashtag-video-extractor" --name snapchat-spotlight-hashtag-video-extractor

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,vexaloom-labs/snapchat-spotlight-hashtag-video-extractor. 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-hashtag-video-extractor "https://mcp.apify.com/?tools=fetch-actor-details,vexaloom-labs/snapchat-spotlight-hashtag-video-extractor"

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
  • vexaloom-labs--snapchat-spotlight-hashtag-video-extractorruns the Actor and returns its results
  • 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

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-hashtag-video-extractor.n8n.json

Actor on Apify
{
  "name": "Snapchat Spotlight Hashtag Video Extractor to n8n only",
  "nodes": [
    {
      "id": "4a61d6c2-0697-4336-ac7e-8be3ccf43f1f",
      "name": "Run by hand",
      "type": "n8n-nodes-base.manualTrigger",
      "typeVersion": 1,
      "position": [
        0,
        0
      ],
      "parameters": {}
    },
    {
      "id": "6cdde622-87a1-4988-a39c-65854566c047",
      "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": "71c3dc16-898e-41dd-a3ae-cfdc5f815cfb",
      "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/vexaloom-labs~snapchat-spotlight-hashtag-video-extractor/run-sync-get-dataset-items",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth",
        "sendBody": true,
        "specifyBody": "json",
        "jsonBody": "{\n  \"mode\": \"hashtagFeed\",\n  \"hashtags\": [\n    \"food\"\n  ],\n  \"resultsPerHashtag\": 3,\n  \"includeVideoUrls\": true,\n  \"includeRelatedTopics\": false,\n  \"includeLlmMetadata\": true,\n  \"includeHashtagMetadata\": true,\n  \"enrichDetails\": false,\n  \"feedPages\": 2,\n  \"maxItems\": 3,\n  \"minViews\": 0,\n  \"minLikes\": 0,\n  \"sortBy\": \"source\"\n}",
        "options": {
          "timeout": 310000
        }
      },
      "notes": "Actor: vexaloom-labs/snapchat-spotlight-hashtag-video-extractor. Select a Header Auth credential: name Authorization, value Bearer + your Apify token. Edit the JSON body to change the input.",
      "notesInFlow": false
    },
    {
      "id": "4711c7ca-9f00-4dbc-af74-70dd136ec43b",
      "name": "Setup",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        0,
        -370
      ],
      "parameters": {
        "content": "## Snapchat Spotlight Hashtag Video Extractor\n\nSource: [vexaloom-labs/snapchat-spotlight-hashtag-video-extractor](https://apify.com/vexaloom-labs/snapchat-spotlight-hashtag-video-extractor) 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/vexaloom-labs~snapchat-spotlight-hashtag-video-extractor/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"mode":"hashtagFeed","hashtags":["food"],"resultsPerHashtag":3,"includeVideoUrls":true,"includeRelatedTopics":false,"includeLlmMetadata":true,"includeHashtagMetadata":true,"enrichDetails":false,"feedPages":2,"maxItems":3,"minViews":0,"minLikes":0,"sortBy":"source"}'

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": "hashtagFeed",
  "hashtags": [
    "food"
  ],
  "resultsPerHashtag": 3,
  "includeVideoUrls": true,
  "includeRelatedTopics": false,
  "includeLlmMetadata": true,
  "includeHashtagMetadata": true,
  "enrichDetails": false,
  "feedPages": 2,
  "maxItems": 3,
  "minViews": 0,
  "minLikes": 0,
  "sortBy": "source"
}

FieldTypeWhat it does
mode string (3 options) Choose what to collect: videos for hashtags/topics, a paginated Spotlight feed, or specific Spotlight URLs.
hashtags array Used in Hashtag or topic videos mode. Bare words (food), hash-prefixed tags (#travel), path forms (/tag/food, /topic/cappuccino-foam-technique), or full Snapchat URLs (https://www.snapchat.com/tag/food…
resultsPerHashtag integer Maximum videos to keep for each hashtag after combining the tag/topic page with Explore results. Snapchat serves about 32 videos per tag page plus about 20-25 Explore cards.
includeVideoUrls boolean Include the watermarked and unwatermarked MP4 CDN URLs. These URLs carry expiring Snapchat tokens, so download or re-host media soon after scraping.
includeRelatedTopics boolean Include related topics, related hashtags, and scene-to-interest (S2I) content tags when the page provides them.
includeLlmMetadata boolean Include Snapchat's AI-generated title, description, and keywords when present.
includeHashtagMetadata boolean Include hashtag identity fields (id, name, URL, source, description, and total video count when Snapchat exposes it) in every record.
enrichDetails boolean Batch-fetch Snapchat's public video details endpoint to fill unwatermarked MP4 URLs, hashtags, AI metadata, duration, and exact engagement counts. Adds one request per 30 videos.
spotlightUrls array Used in Specific Spotlight URLs mode, or as the optional first seed in Paginated Spotlight feed mode. Accepts full Spotlight links (https://www.snapchat.com/@user/spotlight/ID), /spotlight/ID links, or raw IDs.
feedPages integer How many pages of the Spotlight up-next feed to request in Paginated Spotlight feed mode. Each page adds about 20-23 videos; pagination stops early when Snapchat runs out.
maxItems integer Hard cap on the total number of video rows saved across the whole run.
minViews integer Keep only videos with at least this many views. Use 0 to keep everything.
minLikes integer Keep only videos with at least this many likes. Use 0 to keep everything.
sinceDate string Keep only videos uploaded on or after this date. Use YYYY-MM-DD (for example 2026-01-01). Leave empty to keep all dates.
sortBy string (4 options) Order within each hashtag/topic group. Hashtags stay in the order you enter them; feed mode sorts the whole feed. Source order keeps Snapchat's own ranking.

What your agent receives

Each run returns a list of records. The Actor publishes 61 fields, starting with snap_id, source_type, creator_username, description.

FieldWhat it holdsFormat
snap_idSnap IDtext
source_typeSourcetext
creator_usernameCreatortext
descriptionDescriptiontext
view_countViewsnumber
like_countLikesnumber
share_countSharesnumber
comment_countCommentsnumber
duration_secondsDuration (s)number
searched_hashtagHashtagtext
30 more fields
FieldWhat it holdsFormat
snap_urlURLlink
record_typeRecord Typetext
rankRanknumber
feed_pageFeed Pagenumber
story_idStory IDtext
composite_story_idComposite Story IDtext
story_subtypeStory Subtypetext
video_urlVideo URLlink
video_url_unwatermarkedVideo URL (Unwatermarked)link
thumbnail_urlThumbnaillink
video_thumbnail_urlVideo Thumbnaillink
large_thumbnail_urlLarge Thumbnaillink
embed_urlEmbed URLlink
widthWidthnumber
heightHeightnumber
encoding_formatFormattext
creator_display_nameDisplay Nametext
creator_profile_urlProfilelink
pending_comment_countPending Commentsnumber
remix_countRemixesnumber
recommend_countRecommendsnumber
rewatch_countRewatchesnumber
screenshot_countScreenshotsnumber
scoreScorenumber
is_featuredFeaturedtext
is_creator_suggestionCreator Suggestiontext
captionCaptiontext
keywordsKeywordstext
hashtagsHashtagstext
sub_titlesSubtitlestext

21 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-hashtag-video-extractor/SKILL.md

---
name: snapchat-spotlight-hashtag-video-extractor
description: "Snapchat Spotlight videos from hashtags, topics, specific URLs, or the paginated Spotlight feed, with creator, engagement, media, AI metadata, and hashtag context. Runs the Apify Actor vexaloom-labs/snapchat-spotlight-hashtag-video-extractor. Use when the user needs Snapchat data with fields such as snap_id, source_type, creator_username, description, view_count, like_count 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: "vexaloom-labs/snapchat-spotlight-hashtag-video-extractor"
  store-url: "https://apify.com/vexaloom-labs/snapchat-spotlight-hashtag-video-extractor"
---

# Snapchat Spotlight Hashtag Video Extractor

Use this skill to fetch Snapchat data with the Apify Actor `vexaloom-labs/snapchat-spotlight-hashtag-video-extractor` 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 `hashtagFeed`, `spotlightFeed`, `spotlightUrls` | Choose what to collect: videos for hashtags/topics, a paginated Spotlight feed, or specific Spotlight URLs. |
| `hashtags` | array | Used in Hashtag or topic videos mode. Bare words (food), hash-prefixed tags (#travel), path forms (/tag/food, /topic/cappuccino-foam-technique), or full Snapchat URLs (https://www.snapchat.com/tag/food, https://www.snapc… |
| `resultsPerHashtag` | integer | Maximum videos to keep for each hashtag after combining the tag/topic page with Explore results. Snapchat serves about 32 videos per tag page plus about 20-25 Explore cards. |
| `includeVideoUrls` | boolean | Include the watermarked and unwatermarked MP4 CDN URLs. These URLs carry expiring Snapchat tokens, so download or re-host media soon after scraping. |
| `includeRelatedTopics` | boolean | Include related topics, related hashtags, and scene-to-interest (S2I) content tags when the page provides them. |
| `includeLlmMetadata` | boolean | Include Snapchat's AI-generated title, description, and keywords when present. |
| `includeHashtagMetadata` | boolean | Include hashtag identity fields (id, name, URL, source, description, and total video count when Snapchat exposes it) in every record. |
| `enrichDetails` | boolean | Batch-fetch Snapchat's public video details endpoint to fill unwatermarked MP4 URLs, hashtags, AI metadata, duration, and exact engagement counts. Adds one request per 30 videos. |
| `spotlightUrls` | array | Used in Specific Spotlight URLs mode, or as the optional first seed in Paginated Spotlight feed mode. Accepts full Spotlight links (https://www.snapchat.com/@user/spotlight/ID), /spotlight/ID links, or raw IDs. |
| `feedPages` | integer | How many pages of the Spotlight up-next feed to request in Paginated Spotlight feed mode. Each page adds about 20-23 videos; pagination stops early when Snapchat runs out. |
| `maxItems` | integer | Hard cap on the total number of video rows saved across the whole run. |
| `minViews` | integer | Keep only videos with at least this many views. Use 0 to keep everything. |
| `minLikes` | integer | Keep only videos with at least this many likes. Use 0 to keep everything. |
| `sinceDate` | string | Keep only videos uploaded on or after this date. Use YYYY-MM-DD (for example 2026-01-01). Leave empty to keep all dates. |

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

```json
{
  "mode": "hashtagFeed",
  "hashtags": [
    "food"
  ],
  "resultsPerHashtag": 3,
  "includeVideoUrls": true,
  "includeRelatedTopics": false,
  "includeLlmMetadata": true,
  "includeHashtagMetadata": true,
  "enrichDetails": false,
  "feedPages": 2,
  "maxItems": 3,
  "minViews": 0,
  "minLikes": 0,
  "sortBy": "source"
}
```

## Run

```bash
curl -sS -X POST "https://api.apify.com/v2/acts/vexaloom-labs~snapchat-spotlight-hashtag-video-extractor/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/vexaloom-labs~snapchat-spotlight-hashtag-video-extractor/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: `snap_id`, `source_type`, `creator_username`, `description`, `view_count`, `like_count`, `share_count`, `comment_count`, `duration_seconds`, `searched_hashtag`, `snap_url`, `record_type`, `rank`, `feed_page`, `story_id`, `composite_story_id`, `story_subtype`, `video_url`, `video_url_unwatermarked`, `thumbnail_url`.

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-hashtag-video-extractor/SKILL.md, or .claude/skills/snapchat-spotlight-hashtag-video-extractor/SKILL.md in a project.
  • Codex and other agents: ~/.agents/skills/snapchat-spotlight-hashtag-video-extractor/SKILL.md, or .agents/skills/snapchat-spotlight-hashtag-video-extractor/ in a project.
  • Or let the skills CLI place it for your agent: npx skills add https://recipeforagents.com --skill snapchat-spotlight-hashtag-video-extractor
  • Set APIFY_TOKEN in the agent's environment.

Good jobs for this Actor

  • Build topic research lists using searched_hashtag, description, creator_username and snap_url.
  • Compare videos by view_count, like_count, share_count and comment_count.
  • Pass video links to a media download step with creator attribution and thumbnail references.

Prompts to try

  • Search Spotlight for food with includeLlmMetadata enabled and summarize the returned descriptions alongside creator_username and snap_url.
  • Collect Spotlight videos for #travel and compare their view_count, like_count and share_count.
  • Collect the paginated Spotlight feed with includeVideoUrls enabled and return creator_username, snap_url and the available video links.

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

Do the video download links expire?

The MP4 CDN URLs carry expiring Snapchat tokens. Download or re-host the media soon after collection if a later workflow needs the files.

Can results include AI descriptions and related topics?

Enable includeLlmMetadata for Snapchat's AI-generated titles, descriptions and keywords when present. Enable includeRelatedTopics for related topics, hashtags and content tags when the page exposes them.

How do I connect Snapchat Spotlight Hashtag Video Extractor to Claude?

In Claude Code run: claude mcp add --transport http snapchat-spotlight-hashtag-video-extractor "https://mcp.apify.com/?tools=fetch-actor-details,vexaloom-labs/snapchat-spotlight-hashtag-video-extractor". In Claude Desktop or claude.ai add a custom connector with the URL https://mcp.apify.com/?tools=fetch-actor-details,vexaloom-labs/snapchat-spotlight-hashtag-video-extractor 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 Hashtag Video Extractor 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 Snapchat Spotlight Hashtag Video Extractor 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, vexaloom-labs--snapchat-spotlight-hashtag-video-extractor, get-actor-run, get-dataset-items, get-key-value-store-record, abort-actor-run. Apify's MCP server listed them for this exact URL on 2026-11-11.