How to connect Google Cloud Firestore and Apify
Create a New Scenario to Connect Google Cloud Firestore and Apify
In the workspace, click the “Create New Scenario” button.

Add the First Step
Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Google Cloud Firestore, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Cloud Firestore or Apify will be your first step. To do this, click "Choose an app," find Google Cloud Firestore or Apify, and select the appropriate trigger to start the scenario.

Add the Google Cloud Firestore Node
Select the Google Cloud Firestore node from the app selection panel on the right.

Google Cloud Firestore
Configure the Google Cloud Firestore
Click on the Google Cloud Firestore node to configure it. You can modify the Google Cloud Firestore URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Apify Node
Next, click the plus (+) icon on the Google Cloud Firestore node, select Apify from the list of available apps, and choose the action you need from the list of nodes within Apify.

Google Cloud Firestore
⚙
Apify
Authenticate Apify
Now, click the Apify node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Apify settings. Authentication allows you to use Apify through Latenode.
Configure the Google Cloud Firestore and Apify Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Google Cloud Firestore and Apify Integration
Use various Latenode nodes to transform data and enhance your integration:
- Branching: Create multiple branches within the scenario to handle complex logic.
- Merging: Combine different node branches into one, passing data through it.
- Plug n Play Nodes: Use nodes that don’t require account credentials.
- Ask AI: Use the GPT-powered option to add AI capabilities to any node.
- Wait: Set waiting times, either for intervals or until specific dates.
- Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
- Iteration: Process arrays of data when needed.
- Code: Write custom code or ask our AI assistant to do it for you.

JavaScript
⚙
AI Anthropic Claude 3
⚙
Apify
Trigger on Webhook
⚙
Google Cloud Firestore
⚙
⚙
Iterator
⚙
Webhook response
Save and Activate the Scenario
After configuring Google Cloud Firestore, Apify, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.
Test the Scenario
Run the scenario by clicking “Run once” and triggering an event to check if the Google Cloud Firestore and Apify integration works as expected. Depending on your setup, data should flow between Google Cloud Firestore and Apify (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google Cloud Firestore and Apify
Apify + Google Cloud Firestore + Google Sheets: When an Apify actor finishes running, the data it scraped is stored in a Google Cloud Firestore collection. Afterwards, a Google Sheet is updated with a summary of the data.
Google Cloud Firestore + Apify + Slack: When a document in Google Cloud Firestore is updated, it triggers an Apify actor to scrape a website. Then, a message is sent to a Slack channel with the results.
Google Cloud Firestore and Apify integration alternatives
About Google Cloud Firestore
Use Google Cloud Firestore in Latenode to build real-time data workflows. Automate database tasks like data synchronization, backups, or event-driven updates without coding. Combine Firestore with AI tools and webhooks for powerful apps. Create complex workflows with simple visual tools and scale affordably with Latenode's pay-as-you-go pricing.
Similar apps
Related categories
About Apify
Use Apify in Latenode to extract web data at scale for lead generation, market research, and more. Apify handles complex scraping, while Latenode orchestrates the data: trigger workflows, transform results with AI, and send data to any app. Automate web actions visually and affordably.
Similar apps
Related categories
See how Latenode works
FAQ Google Cloud Firestore and Apify
How can I connect my Google Cloud Firestore account to Apify using Latenode?
To connect your Google Cloud Firestore account to Apify on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud Firestore and click on "Connect".
- Authenticate your Google Cloud Firestore and Apify accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze scraped web data and store it?
Yes, you can! With Latenode, easily send data from Apify web scrapes to Google Cloud Firestore, then use Latenode's AI and JavaScript blocks to clean, transform, and analyze the data for immediate insights.
What types of tasks can I perform by integrating Google Cloud Firestore with Apify?
Integrating Google Cloud Firestore with Apify allows you to perform various tasks, including:
- Storing web scraping results directly into a Google Cloud Firestore database.
- Triggering web scraping tasks based on changes in your Google Cloud Firestore data.
- Creating real-time dashboards using scraped data stored in Google Cloud Firestore.
- Automating content archiving from websites into Google Cloud Firestore.
- Enriching existing Google Cloud Firestore data with information scraped via Apify.
Can I filter data before it's saved to Google Cloud Firestore?
Yes! Latenode allows you to use its visual editor and JavaScript functions to filter and transform data from Apify before saving it to Google Cloud Firestore.
Are there any limitations to the Google Cloud Firestore and Apify integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large data transfers from Apify can be subject to Google Cloud Firestore's write limits.
- Complex data transformations may require custom JavaScript coding.
- Apify actor run times can impact the overall workflow execution time.