# Find Coffee Content Topics on Snapchat

**Use case:** 

Find public Snapchat topic rows for coffee content research by searching terms such as coffee and latte art. Results include topic names, slugs, Snapchat-reported snap counts, thumbnails, and ranks, with one-hop related topics when enabled. Change searchQueries to explore other content themes.

## Input

```json
{
  "mode": "topicSearch",
  "topics": [
    "food"
  ],
  "maxResultsPerTopic": 3,
  "includeRelatedTags": false,
  "searchQueries": [
    "coffee",
    "latte art"
  ],
  "maxTopicsPerQuery": 20,
  "includeRelatedTopics": true,
  "enrichVideos": false,
  "maxItems": 20
}
```

## Output

```json
{
  "topicId": {
    "label": "Topic",
    "format": "string"
  },
  "topicDisplayName": {
    "label": "Label",
    "format": "string"
  },
  "numSnaps": {
    "label": "Snaps",
    "format": "integer"
  },
  "topicUrl": {
    "label": "Topic page",
    "format": "string"
  },
  "relatedTo": {
    "label": "Related to",
    "format": "string"
  },
  "searchQuery": {
    "label": "Query",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Snapchat Topic Spotlight Feed & Content Tag Extractor Actor is ready to run with the inputs already set for "Find Coffee Content Topics on Snapchat". [Sign up or log in](https://console.apify.com/create-task-from-example/5rkjBIIhSGBGE2seK) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Find Coffee Content Topics on Snapchat" task

The Snapchat Topic Spotlight Feed & Content Tag Extractor Actor will start running based on the input automatically. You can also change all the input fields, like mode, topics or tags, and more, to match your specific use case.

### 3. Receive the "Find Coffee Content Topics on Snapchat" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as topic, label, snaps, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Find Coffee Content Topics on Snapchat" task via API](https://apify.com/dataspryva/snapchat-topic-spotlight-feed-and-content-tag.md).

## About this Actor

This example demonstrates how to use [Snapchat Topic Spotlight Feed & Content Tag Extractor](https://apify.com/dataspryva/snapchat-topic-spotlight-feed-and-content-tag.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/dataspryva/snapchat-topic-spotlight-feed-and-content-tag.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/dataspryva/snapchat-topic-spotlight-feed-and-content-tag.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).