Snapchat topic spotlight feed scraper skill for AI agents

Reads a Snapchat topic's public Spotlight feed and returns each video with creator, engagement counts, AI-generated title/keywords, and related content-classification tags.

What the skill does

It tells your agent when a request fits the Snapchat Topic Spotlight Feed & Content Tag Extractor Actor, which input to send and which fields come back (topic, snap, creator, views and 48 more). The agent runs it through the Apify API with your token and gets JSON rows.

Skill files updated 2026-11-14.

Install by hand

Save the five files into a folder named snapchat-topic-spotlight-feed-and-content-tag-extractor: ~/.claude/skills/snapchat-topic-spotlight-feed-and-content-tag-extractor/ for Claude Code, ~/.agents/skills/snapchat-topic-spotlight-feed-and-content-tag-extractor/ for Codex and most other agents.

The same five files as one download: snapchat-topic-spotlight-feed-and-content-tag-extractor.zip (5.3 KB).

Run it

Ask your agent in plain words, for example "Snapchat topic spotlight feed scraper", and it picks the skill from its description. Or run the script yourself:

export APIFY_TOKEN=your_apify_token
cd snapchat-topic-spotlight-feed-and-content-tag-extractor                             # the skill folder
node scripts/run.mjs                     # the example input
node scripts/run.mjs my-input.json       # your own input

Without an argument the script uses references/example-input.json. It waits for the run and prints the rows as JSON; for long runs SKILL.md shows the async API calls.

What it returns

Main fields the Snapchat topic spotlight feed scraper skill returns
FieldWhat it is
topicIdTopic
snapIdSnap
creatorUsernameCreator
viewCountViews
uploadedAtUploaded
snapUrlSpotlight

Read SKILL.md

Show the whole file (5.1 KB)
---
name: snapchat-topic-spotlight-feed-and-content-tag-extractor
description: "Reads a Snapchat topic's public Spotlight feed and returns each video with creator, engagement counts, AI-generated title/keywords, and related content-classification tags. Output fields: creatorUsername, viewCount, uploadedAt, snapUrl and more, as JSON rows. Use it for requests like \"Snapchat topic spotlight feed scraper\", or a CSV/JSON export of public Snapchat data."
---

# Snapchat Topic Spotlight Feed & Content Tag Extractor

Reads a Snapchat topic's public Spotlight feed and returns each video with creator, engagement counts, AI-generated title/keywords, and related content-classification tags.

- Actor: https://apify.com/dataspryva/snapchat-topic-spotlight-feed-and-content-tag (ID `dataspryva~snapchat-topic-spotlight-feed-and-content-tag`)
- n8n workflow for the same Actor: https://scraperfinder.com/n8n/snapchat-topic-spotlight-feed-and-content-tag-extractor/
- Example input: `references/example-input.json`
- Input schema: `references/input-schema.json`
- Output fields: `references/output-fields.json`

Short video breakdown:
- [Compare Snapchat creators without opening tabs](https://www.youtube.com/shorts/8X4vE4jUEWo)

## When to use

Use this skill when the user wants:

- Snapchat topic spotlight feed scraper
- a repeatable export of public Snapchat data as CSV or JSON

Do not use it for private, login-protected or paywalled data.

## What it returns

One JSON row per result. Columns from the Actor's dataset schema:

- `topicId`: Topic
- `snapId`: Snap
- `creatorUsername`: Creator
- `viewCount`: Views
- `uploadedAt`: Uploaded
- `snapUrl`: Spotlight

All 52 declared fields: `references/output-fields.json`.

## Inputs

| Field | Type | Required | Default | Notes |
|---|---|---|---|---|
| `mode` | string | no | topicFeed | Choose what to collect: videos for topics/tags, topics for search keywords, or the current Spotlight feed. |
| `topics` | array | no | [] | Topic names, hashtags, or Snapchat URLs. Examples: food, #travel, `https://www.snapchat.com/tag/food,` `https://www.snapchat.com/topic/cappuccino-foam-technique.` |
| `maxResultsPerTopic` | integer | no | 50 | Maximum videos to keep for each topic after combining its topic/tag page with Explore results. Snapchat serves 19-32 videos per page and the combined pool is usually 40-54. |
| `includeRelatedTags` | boolean | no | true | Include Snapchat's scene-to-interest (S2I) tags for each video when the page provides them. Coverage is partial, so the field is omitted when unavailable. |
| `searchQueries` | array | no | [] | Keywords or phrases used to discover topics, such as coffee, new york, or taylor swift. |
| `maxTopicsPerQuery` | integer | no | 50 | Maximum topic rows to keep for each search query, including related topics when expansion is enabled. |
| `includeRelatedTopics` | boolean | no | false | Add one hop of related topics found on each discovered topic's topic, tag, or Explore page. This follows public page links; it does not recurse further. |
| `enrichVideos` | boolean | no | false | Visit each video's Spotlight page to fill missing AI title, comment/recommend counts, language, S2I tags and sound, and each creator's profile once for subscriberCount. |
| `maxItems` | integer | no | 1000 | Maximum rows to save across the whole run. |

Example (`references/example-input.json`):

```json
{
  "topics": [
    "food"
  ],
  "maxResultsPerTopic": 3,
  "includeRelatedTags": false,
  "maxItems": 25
}
```

The input passes the Actor's input schema (checked at every publish). First run: `maxItems` = 25, small enough for the 300-second sync wait; raise it once the rows look right.

## Run it

Set `APIFY_TOKEN`, then call the synchronous endpoint for small and medium runs (it waits up to 300 seconds):

```bash
curl -s -X POST "https://api.apify.com/v2/acts/dataspryva~snapchat-topic-spotlight-feed-and-content-tag/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d @references/example-input.json > output.json
```

Or with Node 18+: `node scripts/run.mjs [input.json]`.

For large runs, start an async run and read its dataset when it finishes:

```bash
RUN=$(curl -s -X POST "https://api.apify.com/v2/acts/dataspryva~snapchat-topic-spotlight-feed-and-content-tag/runs" \
  -H "Authorization: Bearer $APIFY_TOKEN" -H "Content-Type: application/json" \
  -d @references/example-input.json)
RUN_ID=$(echo "$RUN" | jq -r '.data.id'); DATASET=$(echo "$RUN" | jq -r '.data.defaultDatasetId')
curl -s "https://api.apify.com/v2/actor-runs/$RUN_ID?waitForFinish=60" -H "Authorization: Bearer $APIFY_TOKEN" | jq -r '.data.status'
curl -s "https://api.apify.com/v2/datasets/$DATASET/items?format=json" -H "Authorization: Bearer $APIFY_TOKEN" > output.json
```

## Cost and limits

- Apify bills the Actor's usage on your account; the Actor's Pricing tab shows the current price.
- Keep the limit in the input small for a first run.

## Guardrails

- Public data only. Do not pass cookies, sessions or private account data.
- Do not use the output for spam, harassment or unlawful discrimination.
- Check the target site's terms and local law before running at scale.

Questions people ask

Which agents can use this skill?

Any agent that reads Agent Skills folders: Claude Code, Codex, Cursor, Gemini CLI and the other agents the skills CLI installs into. The skill is a SKILL.md file plus a small Node script, so an agent without skill support can still follow the file by hand.

Does the skill cost anything?

The skill is free. Running it starts the Snapchat Topic Spotlight Feed & Content Tag Extractor Actor on your own Apify account, which bills the run at the Actor's Store price; the Apify Free plan includes $5 of usage a month.

What does npx skills add install?

The whole folder: SKILL.md, scripts/run.mjs and the three reference files, downloaded from this site and checked against the SHA-256 digest in scraperfinder.com/.well-known/agent-skills/index.json. Add -g to install it for every project.

Skill updated 2026-11-14