# Instagram #travel Hashtag Reels — Ranked by Most Plays

**Use case:** 

Find the most-played public Instagram reels tagged #travel to spot trending travel content and creators, with no Instagram login or cookies. Each row has the reel link, caption, creator username, posting date, plays, likes, comments, hashtags, tagged place, music and the search term that found it.

## Input

```json
{
  "urls": [
    "https://www.instagram.com/explore/tags/travel/"
  ],
  "resultsLimit": 10,
  "expandRelated": 0,
  "sortBy": "plays",
  "contentType": "reels",
  "onlyVerified": false,
  "onlySponsored": false,
  "excludeSponsored": false,
  "onlyWithLocation": false,
  "enrichDetails": true,
  "enrichOwners": false,
  "extractContacts": true,
  "includeDescription": true,
  "includeVolume": true,
  "incremental": false,
  "incrementalKey": "default",
  "maxScanned": 5000,
  "requestDelay": 1,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

## Output

```json
{
  "image.url": {
    "label": "Image link",
    "format": "string"
  },
  "url": {
    "label": "Reel link",
    "format": "string"
  },
  "owner.username": {
    "label": "Username",
    "format": "string"
  },
  "caption": {
    "label": "Caption",
    "format": "string"
  },
  "createdAt": {
    "label": "Posted at",
    "format": "string"
  },
  "video.playCount": {
    "label": "Plays",
    "format": "number"
  },
  "likeCount": {
    "label": "Likes",
    "format": "number"
  },
  "commentCount": {
    "label": "Comments",
    "format": "number"
  },
  "hashtags": {
    "label": "Hashtags",
    "format": "array"
  },
  "searchTerm": {
    "label": "Search term",
    "format": "string"
  }
}
```

## How it works

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

The Instagram Hashtag Scraper Actor is ready to run with the inputs already set for "Instagram #travel Hashtag Reels — Ranked by Most Plays". [Sign up or log in](https://console.apify.com/create-task-from-example/knrayjBri411TpP66) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Instagram #travel Hashtag Reels — Ranked by Most Plays" task

The Instagram Hashtag Scraper Actor will start running based on the input automatically. You can also change all the input fields, like 🔗 hashtags, keywords or links, 🎬 reels per search term, and more, to match your specific use case.

### 3. Receive the "Instagram #travel Hashtag Reels — Ranked by Most Plays" 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 image link, reel link, username, 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 "Instagram #travel Hashtag Reels — Ranked by Most Plays" task via API](https://apify.com/data_wiki/instagram-hashtag-scraper.md).

## About this Actor

This example demonstrates how to use [Instagram Hashtag Scraper](https://apify.com/data_wiki/instagram-hashtag-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/data_wiki/instagram-hashtag-scraper.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/data_wiki/instagram-hashtag-scraper.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`).