# Weekly new posts from competitor brands

**Use case:** 

Keep a weekly feed of what competitor brands publish. With “Only new since the last run” on, each run returns only new photos, carousels and reels with likes, comments and captions. Schedule it weekly in Apify Console. The example follows four sportswear brands; swap in your own.

## Input

```json
{
  "usernames": [
    "nike",
    "adidas",
    "puma",
    "newbalance"
  ],
  "maxPostsPerProfile": 24,
  "skipPinned": false,
  "includeReels": true,
  "onlyNew": true
}
```

## Output

```json
{
  "url": {
    "label": "Link",
    "format": "link"
  },
  "type": {
    "label": "Type"
  },
  "ownerUsername": {
    "label": "Author"
  },
  "takenAt": {
    "label": "Posted",
    "format": "date"
  },
  "likes": {
    "label": "Likes",
    "format": "number"
  },
  "comments": {
    "label": "Comments",
    "format": "number"
  },
  "reposts": {
    "label": "Reposts",
    "format": "number"
  },
  "saves": {
    "label": "Saves",
    "format": "number"
  },
  "shares": {
    "label": "Shares",
    "format": "number"
  },
  "caption": {
    "label": "Caption"
  },
  "input": {
    "label": "Input"
  },
  "error": {
    "label": "Not returned"
  },
  "message": {
    "label": "Why"
  }
}
```

## How it works

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

The Instagram Posts Scraper · Carousels & Reposts Actor is ready to run with the inputs already set for "Weekly new posts from competitor brands". [Sign up or log in](https://console.apify.com/create-task-from-example/m3uvH0ICPB1g4sQqQ) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Weekly new posts from competitor brands" task

The Instagram Posts Scraper · Carousels & Reposts Actor will start running based on the input automatically. You can also change all the input fields, like instagram usernames or profile urls, max posts per profile, and more, to match your specific use case.

### 3. Receive the "Weekly new posts from competitor brands" 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 link, type, author, 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 "Weekly new posts from competitor brands" task via API](https://apify.com/instagram-data-api/instagram-posts-scraper.md).

## FAQ

### How do I run it every week?

Save the task, open Schedules in Apify Console and create a weekly schedule with this task. Each run returns only posts published since the previous one.

### Can I skip reels?

Yes. Turn off “Include reels from the grid” to get photos and carousels only.

### How much does it cost?

$0.28 per 1,000 posts on Starter and from $0.196 on Business, plus $0.0005 per run.

## About this Actor

This example demonstrates how to use [Instagram Posts Scraper · Carousels & Reposts](https://apify.com/instagram-data-api/instagram-posts-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/instagram-data-api/instagram-posts-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/instagram-data-api/instagram-posts-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`).