# Send scraped rows to your CRM API

**Use case:** 

Takes rows and posts each one to your CRM or app API with a Bearer token, mapping your field names onto the API's own field names with a body template. Runs as a dry run so you can see the exact requests before sending anything.

## Input

```json
{
  "data": [
    {
      "id": "1001",
      "email": "ana@example.com",
      "name": "Ana Silva",
      "company": "Silva Ltd",
      "mrr": 49
    },
    {
      "id": "1002",
      "email": "ben@example.com",
      "name": "Ben Okafor",
      "company": "Okafor & Co",
      "mrr": 19
    }
  ],
  "fileFormat": "auto",
  "url": "https://api.example.com/v1/contacts",
  "method": "POST",
  "bodyMode": "template",
  "bodyTemplate": {
    "fields": {
      "Email": "{{email}}",
      "Full name": "{{name}}",
      "Account": "{{company}}",
      "Monthly value": "{{mrr}}"
    }
  },
  "authType": "bearer",
  "batchSize": 1,
  "rateLimitPerSecond": 5,
  "retries": 3,
  "timeoutSecs": 60,
  "stopOnFirstError": false,
  "skipRowsMissingFields": false,
  "includeFields": [
    "id",
    "email"
  ],
  "responseSnippetChars": 500,
  "dryRun": true
}
```

## Output

```json
{
  "rowIndex": {
    "label": "Row",
    "format": "number"
  },
  "email": {
    "label": "Email",
    "format": "text"
  },
  "status": {
    "label": "Result",
    "format": "text"
  },
  "httpStatus": {
    "label": "HTTP",
    "format": "number"
  },
  "method": {
    "label": "Method",
    "format": "text"
  },
  "url": {
    "label": "URL",
    "format": "text"
  },
  "attempts": {
    "label": "Attempts",
    "format": "number"
  },
  "durationMs": {
    "label": "ms",
    "format": "number"
  },
  "error": {
    "label": "Error",
    "format": "text"
  },
  "responseSnippet": {
    "label": "Response",
    "format": "text"
  }
}
```

## About this Actor

This example demonstrates how to use [Dataset to REST API (Sync Rows to Any API)](https://apify.com/nerolabs/dataset-to-rest-api.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/nerolabs/dataset-to-rest-api.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

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

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).