Pricing

Pay per usage

Go to Apify Store

Aggregate Fields

Try for free

Developed by

Paulo Cesar

Create an overview of a dataset by aggregating the possible variations from the selected fields. Useful for checking the consistency of data used together with the Results Checker actor.

0.0 (0)

Pricing

Pay per usage

Last modified

2 years ago

Developer tools

Integrations

Open source

You can access the Aggregate Fields programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?actors=pocesar/aggregate-fields",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with Aggregate Fields

You have a few options for interacting with the MCP server:

Use mcp.apify.com via mcp-remote from your local machine to connect and authenticate using OAuth or an API token (as shown in the JSON configuration above).
Set up the connection directly in your MCP client UI by providing the URL https://mcp.apify.com/?actors=pocesar/aggregate-fields along with an API token (or use OAuth).
Connect to mcp.apify.com via Server-Sent Events (SSE), as shown below:

{
    "mcpServers": {
        "apify": {
            "type": "sse",
            "url": "https://mcp.apify.com/?actors=pocesar/aggregate-fields",
            "headers": {
                "Authorization": "Bearer <YOUR_API_TOKEN>"
            }
        }
    }
}

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.

If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.

Google Dataset Items Translator

web.harvester/google-dataset-items-translator

Translate any dataset field(s) to any of the supported languages using the Google Translate website, it goes through all the items in the dataset and translates all of the selected fields

Web Harvester

Diff Dataset Fields

lukaskrivka/diff-dataset-fields

Compare changes in text fields between two datasets. Monitor new and updated content on websites.

Lukáš Křivka

Forward dataset as POST data

anchor/forward-dataset-webhook

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 !!!

Anchor

Results Checker

lukaskrivka/results-checker

Check the results of your scrapers with this flexible checker. Just supply a dataset or key-value store ID and a few simple rules to get a detailed report.

Lukáš Křivka

Rename Dataset Fields

lukaskrivka/rename-dataset-fields

Rename field/columns of any dataset with a simple mapping

Lukáš Křivka

Monitor Text Changes

lukaskrivka/monitor-changes

Monitor changes on websites or APIs and get back a detailed diff for selected fields. Run as an integration after any scraping Actor.

Lukáš Křivka

Dataset(s) To Schema

zuzka/dataset-to-schema

Takes a Dataset ID(s) and outputs a JSON schema of the contents of the dataset into key value store.

Zuzka Pelechová

Simple HTTP Status Code Checker

onescales/simple-http-status-code-checker

This Apify Actor allows you to check in bulk HTTP status codes and redirects for a list of URL's. It's a useful tool for SEO audits, website maintenance, and link checking.

One Scales

5.0

Net A Porter Product Scraper

harvester/net-a-porter-product-scraper

A Product Web scraper for the Net-A-Porter website. It only requires URLs of the targeted products. Then it returns all the variants of the products, including all important fields such as prices, designer name, colors, sizes, the first time the product became visible, and codes.

Gilfoyle

5.0

Website-checker-starter

vaclavrut/website-checker-starter

Works with lukaskrivka/website-checker. The idea is that this actor manages more URLs on the input, will start website-checker with 10 runs at a time and store all data to one datasets.