# Forward dataset as POST data (`anchor/forward-dataset-webhook`) Actor

This actor forwards the results of an Actor to an endpoint, instead of having to fetch the results manually. It will download the dataset and attach it to the body of a POST request you will specify. It acts as a new webhook. Simplify your Actor process !!!

- **URL**: https://apify.com/anchor/forward-dataset-webhook.md
- **Developed by:** [Anchor](https://apify.com/anchor) (community)
- **Categories:** Developer tools, Automation, Integrations
- **Stats:** 31 total users, 0 monthly users, 100.0% runs succeeded, 2 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-usage

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

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 examples already wired to this Actor's own input schema, see the [API](#api) section below.

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`).

# README

"Forward dataset Actor" **forwards the results of a run, as data of a POST request**. It was designed to forward results from crawler.

### ⏩ Why do I need to forward my Actor dataset ?

If you don't know how to get

### 🔍 What does this Actor do?

📫 You want to be sent the results of your Actor run, without having to go to the APIFY plateform to fetch it 😫. It avoids a call to the Apify API !

### Use case

- ⏩ avoid fetching results on APIFY
- 📁 Populate a database quickly
- 🪄 check data with a monitoring tool
- ...

### 👨🏻‍🎓 How to setup ?

- Go to one of your Actors (not this one), and add a webhook : it can be in the integration tab if not available in your actor INPUTs.
- Simply provide this actor URL as webhook, it should be this format `https://api.apify.com/v2/acts/YOUR_ACCOUNT~forward-dataset-webhook/runs?token=YOUR_TOKEN`
- Then, add your new endpoint in the input "Finish webhook data". That's it. You can test 🙂

#### 🐛 TroubleShooting

- we recommend to use "https://webhook.site/ to ease the set up if you encounter some issues
- The token is inherited from your APIFY account. That's why you cannot use this actor to fetch the actor's data of another APIFY account.
- because this actor was designed initially to forward results from the apify/legacy-phantomjs-crawler, you may need to adapt to your actor integration

### ⚙️ Advanced configuration

These variables are available to play with

- data : the new url to use as a new webhook
- datasetId : coming from your APIFY actor webhook.

#### Environment variables

- timeout : The timeout for request in this actor to finish. To be increased if the size of your dataset is big. Unit = milliseconds
- format : json or csv. The apify format you would like to receive the data

# Actor input Schema

## `datasetId` (type: `string`):

datasetId (provided by the APIFY plateform) after an APIFY Actor run

## `data` (type: `string`):

New URL webhook. It represents the URL you want to forward your dataset to, as a POST call, with the data attached in the body

## Actor input object example

```json
{
  "datasetId": "EXAMPLEm6LdUs",
  "data": "https://webhook.site/8ac97015-0bf3-4210-ba1d-ac31268cc645"
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("anchor/forward-dataset-webhook").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("anchor/forward-dataset-webhook").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call anchor/forward-dataset-webhook --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,anchor/forward-dataset-webhook"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/KRi3SVMNrcSzFujQd/builds/WaOYXTOCbvR0Rxfxv/openapi.json