# POST JSON to an API for each row

**Use case:** 

Send one POST request per row with a JSON body built from your CSV columns. Use it to push leads into a CRM, create records through an API or send rows to a webhook. This example posts two contacts to a public test endpoint and pulls fields back from the response. Values that are exactly {{column}} keep their type. $1 per 1,000 requests.

## Input

```json
{
  "url": "https://httpbin.org/post",
  "method": "POST",
  "headers": {
    "Content-Type": "application/json"
  },
  "queryParams": {},
  "body": {
    "email": "{{email}}",
    "company": "{{company}}"
  },
  "csv": "email,company\nana@example.com,Acme\nbo@example.com,Globex",
  "maxRows": 0,
  "extract": {
    "sentEmail": "json.email",
    "sentCompany": "json.company"
  },
  "concurrency": 20,
  "perHostPerSecond": 10,
  "maxRetries": 2,
  "timeoutSecs": 30,
  "keepBody": true,
  "maxBodyKb": 1000
}
```

## Output

```json
{
  "index": {
    "label": "#"
  },
  "method": {
    "label": "Method"
  },
  "url": {
    "label": "URL"
  },
  "statusCode": {
    "label": "Status"
  },
  "ok": {
    "label": "OK",
    "format": "boolean"
  },
  "durationMs": {
    "label": "ms"
  },
  "waitMs": {
    "label": "Queued ms"
  },
  "attempts": {
    "label": "Attempts"
  },
  "error": {
    "label": "Error"
  }
}
```

## How it works

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

The Bulk HTTP Requests — API Calls from CSV, JSON or Dataset Actor is ready to run with the inputs already set for "POST JSON to an API for each row". [Sign up or log in](https://console.apify.com/create-task-from-example/GdDuCbT5Whjs4ol7K) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "POST JSON to an API for each row" task

The Bulk HTTP Requests — API Calls from CSV, JSON or Dataset Actor will start running based on the input automatically. You can also change all the input fields, like URL template, method, and more, to match your specific use case.

### 3. Receive the "POST JSON to an API for each row" 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 #, method, URL, 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 "POST JSON to an API for each row" task via API](https://apify.com/saliga/bulk-http-requests.md).

## About this Actor

This example demonstrates how to use [Bulk HTTP Requests — API Calls from CSV, JSON or Dataset](https://apify.com/saliga/bulk-http-requests.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/saliga/bulk-http-requests.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/saliga/bulk-http-requests.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`).