# Supplier CSV to EUDR GeoJSON + deforestation flags (3 plots)

**Use case:** 

A small supplier CSV read from a public link: one point plot, one polygon given as 4 lat/lon rows and one WKT polygon. Columns are mapped to the EU property names, each plot is screened and gets a PDF. Replace the link with your own CSV.

## Input

```json
{
  "plotFile": "https://api.apify.com/v2/key-value-stores/myF1hQnYzGNg1uh8N/records/sample-supplier-plots.csv?signature=tcJu0JPaxfGP8ckczQ1N",
  "geojson": {
    "type": "FeatureCollection",
    "features": [
      {
        "type": "Feature",
        "properties": {
          "plot_id": "BR-DEMO-1",
          "producer": "Example Ranch (demo)",
          "country": "Brazil",
          "farm": "Demo plot, Rondonia",
          "area": "80"
        },
        "geometry": {
          "type": "Polygon",
          "coordinates": [
            [
              [
                -63.009222,
                -9.509304
              ],
              [
                -63.001024,
                -9.509304
              ],
              [
                -63.001024,
                -9.501164
              ],
              [
                -63.009222,
                -9.501164
              ]
            ]
          ]
        }
      }
    ]
  },
  "commodity": "cocoa",
  "runScreening": true,
  "highRiskMinHa": 0.5,
  "highRiskPct": 2,
  "reviewForestPct": 10,
  "generatePdf": true,
  "makeZip": true,
  "removeDuplicates": true,
  "maxPlotsPerFile": 1000,
  "maxOutputFileMb": 24,
  "maxPlots": 10,
  "maxInputFileMb": 50,
  "concurrency": 4
}
```

## Output

```json
{
  "plotId": {
    "label": "Plot",
    "format": "string"
  },
  "riskFlag": {
    "label": "Risk flag",
    "format": "string"
  },
  "geometryStatus": {
    "label": "Geometry",
    "format": "string"
  },
  "producerName": {
    "label": "Producer",
    "format": "string"
  },
  "producerCountry": {
    "label": "Country",
    "format": "string"
  },
  "geometryType": {
    "label": "Type",
    "format": "string"
  },
  "areaHa": {
    "label": "Area (ha)",
    "format": "number"
  },
  "forest2020Pct": {
    "label": "Forest 2020 %",
    "format": "number"
  },
  "forest2020Source": {
    "label": "Forest 2020 source",
    "format": "string"
  },
  "lossPost2020Ha": {
    "label": "Loss 2021+ (ha)",
    "format": "number"
  },
  "forestLossPost2020Ha": {
    "label": "Forest lost 2021+ (ha)",
    "format": "number"
  },
  "fixCount": {
    "label": "Fixes",
    "format": "integer"
  },
  "errors": {
    "label": "Errors",
    "format": "array"
  },
  "pdfUrl": {
    "label": "Evidence PDF",
    "format": "string"
  }
}
```

## How it works

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

The EUDR Due-Diligence Package Builder: GeoJSON + Deforestation PDF Actor is ready to run with the inputs already set for "Supplier CSV to EUDR GeoJSON + deforestation flags (3 plots)". [Sign up or log in](https://console.apify.com/create-task-from-example/7EcFgPKhheV3s79H1) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Supplier CSV to EUDR GeoJSON + deforestation flags (3 plots)" task

The EUDR Due-Diligence Package Builder: GeoJSON + Deforestation PDF Actor will start running based on the input automatically. You can also change all the input fields, like supplier plot file, geojson plots (json), and more, to match your specific use case.

### 3. Receive the "Supplier CSV to EUDR GeoJSON + deforestation flags (3 plots)" 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 plot, risk flag, geometry, 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 "Supplier CSV to EUDR GeoJSON + deforestation flags (3 plots)" task via API](https://apify.com/latentlark/eudr-due-diligence-package-builder.md).

## About this Actor

This example demonstrates how to use [EUDR Due-Diligence Package Builder: GeoJSON + Deforestation PDF](https://apify.com/latentlark/eudr-due-diligence-package-builder.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/latentlark/eudr-due-diligence-package-builder.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/latentlark/eudr-due-diligence-package-builder.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`).