# Ft Filter Csv Or Google Sheet By Url

**Use case:** 

Load a public CSV, Excel or Google Sheet by link, keep and rename the columns you need, map country codes to continent names, filter to two continents, sort and dedupe, then download the result as CSV and Excel. Uses the open country-codes dataset as a live example; swap in your own file link.

## Input

```json
{
  "fileUrl": "https://raw.githubusercontent.com/datasets/country-codes/main/data/country-codes.csv",
  "fileFormat": "auto",
  "data": [
    {
      "name": "  jane doe ",
      "email": "JANE@Example.com",
      "country": "US",
      "revenue": "$12,500.00",
      "active": "yes",
      "signupDate": "2026-03-14"
    },
    {
      "name": "Bob Smith",
      "email": "bob@example.com",
      "country": "GB",
      "revenue": 400,
      "active": "no",
      "signupDate": "2026-05-02"
    },
    {
      "name": "Ana Silva",
      "email": "ana@example.com",
      "country": "BR",
      "revenue": "2,300",
      "active": "yes",
      "signupDate": "2026-06-19"
    },
    {
      "name": "  Chen Wei",
      "email": "chen@example.com",
      "country": "US",
      "revenue": "n/a",
      "active": "yes",
      "signupDate": "2026-07-01"
    },
    {
      "name": "Sam Lee",
      "email": "sam@example.com",
      "country": "US",
      "revenue": 9800,
      "active": "yes",
      "signupDate": "2026-08-05"
    }
  ],
  "transforms": [
    {
      "op": "keep",
      "fields": [
        "official_name_en",
        "ISO3166-1-Alpha-2",
        "Continent",
        "Capital",
        "Currency_Name"
      ]
    },
    {
      "op": "rename",
      "from": "official_name_en",
      "to": "country"
    },
    {
      "op": "rename",
      "from": "ISO3166-1-Alpha-2",
      "to": "iso2"
    },
    {
      "op": "mapValues",
      "field": "Continent",
      "map": {
        "EU": "Europe",
        "AS": "Asia",
        "AF": "Africa",
        "NA": "North America",
        "SA": "South America",
        "OC": "Oceania",
        "AN": "Antarctica"
      },
      "into": "continentName"
    }
  ],
  "filters": [
    {
      "field": "Continent",
      "operator": "in",
      "value": [
        "EU",
        "SA"
      ]
    }
  ],
  "filterCombineMode": "AND",
  "caseSensitiveFilters": false,
  "lenientNumbers": true,
  "sortBy": [
    "country"
  ],
  "distinctBy": [
    "country"
  ],
  "exportFormats": [
    "csv",
    "xlsx"
  ]
}
```

## Output

```json
{
  "name": {
    "label": "Name",
    "format": "text"
  },
  "email": {
    "label": "Email",
    "format": "text"
  },
  "country": {
    "label": "Country",
    "format": "text"
  },
  "revenue": {
    "label": "Revenue",
    "format": "number"
  },
  "active": {
    "label": "Active",
    "format": "text"
  },
  "signupDate": {
    "label": "Signup date",
    "format": "text"
  },
  "summary": {
    "label": "Summary",
    "format": "text"
  }
}
```

## About this Actor

This example demonstrates how to use [Dataset Filter & Transform](https://apify.com/nerolabs/dataset-filter-transform.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/nerolabs/dataset-filter-transform.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

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

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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/nerolabs/dataset-filter-transform.md

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