Apify and Microsoft Power BI Integration

90% cheaper with Latenode

AI agent that builds your workflows for you

Hundreds of apps to connect

Automate insights: Scrape data with Apify and visualize it in Microsoft Power BI. Latenode's visual editor makes it easier to transform data, and with affordable pricing, scale your reporting workflows without breaking the bank.

Apify + Microsoft Power BI integration

Connect Apify and Microsoft Power BI in minutes with Latenode.

Start for free

Automate your workflow

Swap Apps

Apify

Microsoft Power BI

Step 1: Choose a Trigger

Step 2: Choose an Action

When this happens...

Name of node

action, for one, delete

Name of node

action, for one, delete

Name of node

action, for one, delete

Name of node

description of the trigger

Name of node

action, for one, delete

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

Do this.

Name of node

action, for one, delete

Name of node

action, for one, delete

Name of node

action, for one, delete

Name of node

description of the trigger

Name of node

action, for one, delete

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Try it now

No credit card needed

Without restriction

How to connect Apify and Microsoft Power BI

Create a New Scenario to Connect Apify and Microsoft Power BI

In the workspace, click the โ€œCreate New Scenarioโ€ button.

Add the First Step

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

Add the Apify Node

Select the Apify node from the app selection panel on the right.

+
1

Apify

Configure the Apify

Click on the Apify node to configure it. You can modify the Apify URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

+
1

Apify

Node type

#1 Apify

/

Name

Untitled

Connection *

Select

Map

Connect Apify

Sign In
โต

Run node once

Add the Microsoft Power BI Node

Next, click the plus (+) icon on the Apify node, select Microsoft Power BI from the list of available apps, and choose the action you need from the list of nodes within Microsoft Power BI.

1

Apify

โš™

+
2

Microsoft Power BI

Authenticate Microsoft Power BI

Now, click the Microsoft Power BI node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Microsoft Power BI settings. Authentication allows you to use Microsoft Power BI through Latenode.

1

Apify

โš™

+
2

Microsoft Power BI

Node type

#2 Microsoft Power BI

/

Name

Untitled

Connection *

Select

Map

Connect Microsoft Power BI

Sign In
โต

Run node once

Configure the Apify and Microsoft Power BI Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

1

Apify

โš™

+
2

Microsoft Power BI

Node type

#2 Microsoft Power BI

/

Name

Untitled

Connection *

Select

Map

Connect Microsoft Power BI

Microsoft Power BI Oauth 2.0

#66e212yt846363de89f97d54
Change

Select an action *

Select

Map

The action ID

โต

Run node once

Set Up the Apify and Microsoft Power BI 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 donโ€™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.
5

JavaScript

โš™

6

AI Anthropic Claude 3

โš™

+
7

Microsoft Power BI

1

Trigger on Webhook

โš™

2

Apify

โš™

โš™

3

Iterator

โš™

+
4

Webhook response

Save and Activate the Scenario

After configuring Apify, Microsoft Power BI, and any additional nodes, donโ€™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 โ€œRun onceโ€ and triggering an event to check if the Apify and Microsoft Power BI integration works as expected. Depending on your setup, data should flow between Apify and Microsoft Power BI (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Apify and Microsoft Power BI

Apify + Google Sheets + Microsoft Power BI: Apify scrapes data from websites and adds it to a Google Sheet. Power BI then visualizes the data from the Google Sheet.

Microsoft Power BI + Apify + Slack: When a Power BI dashboard is updated, Apify scrapes competitor data, then Slack sends a message to the analysis team.

Apify and Microsoft Power BI integration alternatives

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.

About Microsoft Power BI

Use Power BI in Latenode to automate report generation and data analysis. Trigger report refreshes based on real-time events, then use Latenode to share insights across your team via Slack, email, or other apps. Automate your analytics pipeline and react faster, without manual Power BI updates. Latenode adds scheduling and distribution.

See how Latenode works

FAQ Apify and Microsoft Power BI

How can I connect my Apify account to Microsoft Power BI using Latenode?

To connect your Apify account to Microsoft Power BI on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Apify and click on "Connect".
  • Authenticate your Apify and Microsoft Power BI accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automatically visualize scraped website data in Power BI?

Yes, with Latenode, automatically visualize Apify scraped data directly in Microsoft Power BI. Latenode's visual editor simplifies this, offering JavaScript and AI for advanced data transformation before visualization.

What types of tasks can I perform by integrating Apify with Microsoft Power BI?

Integrating Apify with Microsoft Power BI allows you to perform various tasks, including:

  • Building real-time dashboards with scraped e-commerce pricing data.
  • Creating reports using social media trends extracted by Apify actors.
  • Visualizing competitor analysis data scraped from various websites.
  • Tracking SEO performance metrics using automated data extraction.
  • Generating lead generation reports based on scraped contact information.

How do I handle large datasets from Apify on Latenode?

Latenode efficiently handles large Apify datasets with built-in scaling and transformation tools. Process and prepare your data before sending it to Microsoft Power BI.

Are there any limitations to the Apify and Microsoft Power BI integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • The speed of data transfer depends on the API limits of both Apify and Microsoft Power BI.
  • Complex data transformations may require some JavaScript coding knowledge.
  • Real-time dashboards require continuous workflow execution, which can impact Latenode resource usage.

Try now