Pricing

Pay per usage

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Firebase Firestore Import

Try for free

Developed by

Daniel Wébr

This actor is designed to simplify the process of transferring data from an Apify dataset into a Firebase Firestore collection. Simply configure the actor with your Firebase credentials, Firestore collection ID, and dataset ID, and it will handle the rest, including optional data transformations.

0.0 (0)

Pricing

Pay per usage

Total users

Monthly users

Runs succeeded

96%

Last modified

2 years ago

Automation

Open source

You can access the Firebase Firestore Import 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/sse?actors=danielwebr/firebase-firestore-import",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with Firebase Firestore Import

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/sse?actors=danielwebr/firebase-firestore-import 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/sse?actors=danielwebr/firebase-firestore-import",
            "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.

Firestore Import

apify/firestore-import

Seamlessly import data from Apify datasets into Firebase Firestore database. This integration allows full control over document IDs, conflict resolution (overwrite, merge, skip), and data transformation using a custom JavaScript function.

Apify

5.0

Firestore Import

drobnikj/firestore-import

Imports dataset items to Firestone DB.

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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

skool scraper

moving_beacon-owner1/skool-scraper

This scraper is designed to collect follower profiles from Skool.com using Apify. It allows you to automate the extraction of follower data from specific user profiles on Skool.com. Simply enter the link for the followers page into the Apify Actor, and the scraper will take care of the rest.

Jamshaid Arif

Dataset Processor in Python

drobnikj/dataset-processor-python

This actor utilizes Python to process the dataset.

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Natural Language Dataset Query

apify/natural-language-dataset-query

Use natural language queries to retrieve results from an Apify dataset. This Actor provides a query engine that loads a dataset, executes SQL queries, and synthesizes results. It works as an MCP (Model Context Protocol) server or REST API in Actor standby mode.

Apify

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lukaskrivka/sort-dataset-items

Add this actor as a webhook to your scraper to sort the dataset by index field

Lukáš Křivka

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

Dataset Query Engine

jiri.spilka/dataset-query-engine

Use natural language queries to retrieve results from an Apify dataset. This Actor provides a query engine that loads a dataset, executes SQL queries, and synthesizes results.