# Merge CSV Files and Filter Rows by Amount and Status

**Use case:** 

Combine two order lists, then keep only paid orders between 100 and 1,000, with each order ID listed once and the newest orders first. Filter rules support equals, contains, regex, greater than, between and more. Data is pasted in. Replace it with your own CSV text or links.

## Input

```json
{
  "inlineSources": [
    {
      "name": "north-orders",
      "format": "csv",
      "text": "order_id,date,customer,amount,status\n1001,2024-05-02,Cafe Aroma,240.50,paid\n1002,2024-05-03,Book Nook,89.00,paid\n1003,2024-05-07,Green Grocer,1250.00,paid\n1004,2024-05-09,Bike Hub,310.00,refunded\n"
    },
    {
      "name": "south-orders",
      "format": "csv",
      "text": "order_id,date,customer,amount,status\n1004,2024-05-09,Bike Hub,310.00,refunded\n2001,2024-05-04,Sunny Florist,150.00,paid\n2002,2024-05-11,Pet Palace,45.90,paid\n2003,2024-05-15,Print Shop,720.00,paid\n"
    }
  ],
  "sourceField": "source",
  "dedupeMode": "keys",
  "dedupeKeys": [
    "order_id"
  ],
  "dedupeKeep": "first",
  "dedupeCaseInsensitive": true,
  "filters": [
    {
      "field": "status",
      "op": "notEquals",
      "value": "refunded"
    },
    {
      "field": "amount",
      "op": "between",
      "value": [
        100,
        1000
      ]
    }
  ],
  "filterMode": "and",
  "filterCaseSensitive": false,
  "flatten": false,
  "sortBy": [
    "date:desc"
  ],
  "exports": [
    "csv",
    "xlsx"
  ],
  "exportName": "merged",
  "escapeFormulas": true,
  "maxItems": 100000,
  "maxFileSizeMb": 50,
  "csvInferTypes": true
}
```

## Output

```json
{
  "email": {
    "label": "Email",
    "format": "string"
  },
  "name": {
    "label": "Name",
    "format": "string"
  },
  "country": {
    "label": "Country",
    "format": "string"
  },
  "plan": {
    "label": "Plan",
    "format": "string"
  },
  "signup": {
    "label": "Signup",
    "format": "string"
  },
  "company": {
    "label": "Company",
    "format": "string"
  },
  "source": {
    "label": "Source",
    "format": "string"
  }
}
```

## How it works

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

The Merge Datasets & Dedupe: Combine, Filter, Export CSV & Excel Actor is ready to run with the inputs already set for "Merge CSV Files and Filter Rows by Amount and Status". [Sign up or log in](https://console.apify.com/create-task-from-example/bkXHgimnbCORJIgYg) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Merge CSV Files and Filter Rows by Amount and Status" task

The Merge Datasets & Dedupe: Combine, Filter, Export CSV & Excel Actor will start running based on the input automatically. You can also change all the input fields, like pasted data (inline sources), source column name, and more, to match your specific use case.

### 3. Receive the "Merge CSV Files and Filter Rows by Amount and Status" 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 email, name, country, 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 "Merge CSV Files and Filter Rows by Amount and Status" task via API](https://apify.com/data-done-right/merge-datasets.md).

## About this Actor

This example demonstrates how to use [Merge Datasets & Dedupe: Combine, Filter, Export CSV & Excel](https://apify.com/data-done-right/merge-datasets.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/data-done-right/merge-datasets.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-done-right/merge-datasets.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`).