How to connect Google Cloud BigQuery (REST) and Outscraper
Create a New Scenario to Connect Google Cloud BigQuery (REST) and Outscraper
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 BigQuery (REST), triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Cloud BigQuery (REST) or Outscraper will be your first step. To do this, click "Choose an app," find Google Cloud BigQuery (REST) or Outscraper, and select the appropriate trigger to start the scenario.

Add the Google Cloud BigQuery (REST) Node
Select the Google Cloud BigQuery (REST) node from the app selection panel on the right.

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

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Authenticate Outscraper
Now, click the Outscraper node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Outscraper settings. Authentication allows you to use Outscraper through Latenode.
Configure the Google Cloud BigQuery (REST) and Outscraper 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 BigQuery (REST) and Outscraper 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.

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Save and Activate the Scenario
After configuring Google Cloud BigQuery (REST), Outscraper, 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 BigQuery (REST) and Outscraper integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery (REST) and Outscraper (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 BigQuery (REST) and Outscraper
Outscraper + Google Cloud BigQuery (REST) + Google Sheets: Scrape data from Outscraper using its actions. This data is then inserted into a BigQuery table. Finally, the data from BigQuery is queried and the results are visualized in a Google Sheet.
Outscraper + Google Cloud BigQuery (REST) + Slack: Scrape product data using Outscraper. Analyze price trends in BigQuery by running queries on the scraped data. Send alerts to a Slack channel when significant price changes are detected.
Google Cloud BigQuery (REST) and Outscraper integration alternatives
About Google Cloud BigQuery (REST)
Automate BigQuery data workflows in Latenode. Query and analyze massive datasets directly within your automation scenarios, bypassing manual SQL. Schedule queries, transform results with JavaScript, and pipe data to other apps. Scale your data processing without complex coding or expensive per-operation fees. Perfect for reporting, analytics, and data warehousing automation.
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About Outscraper
Need to scrape web data at scale? Integrate Outscraper into Latenode to automate data extraction workflows. Get structured data from search engines, social media, and e-commerce sites without complex coding. Combine with Latenode's no-code tools, JS scripts, and webhooks for custom data pipelines that adapt to any business need.
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See how Latenode works
FAQ Google Cloud BigQuery (REST) and Outscraper
How can I connect my Google Cloud BigQuery (REST) account to Outscraper using Latenode?
To connect your Google Cloud BigQuery (REST) account to Outscraper on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud BigQuery (REST) and click on "Connect".
- Authenticate your Google Cloud BigQuery (REST) and Outscraper accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I enrich scraped leads using BigQuery data?
Yes, you can! Latenode's visual editor makes combining Outscraper data with BigQuery insights simple, allowing for powerful lead enrichment and precise targeting.
What types of tasks can I perform by integrating Google Cloud BigQuery (REST) with Outscraper?
Integrating Google Cloud BigQuery (REST) with Outscraper allows you to perform various tasks, including:
- Automatically back up Outscraper results into your BigQuery data warehouse.
- Analyze Outscraper data alongside existing business data in BigQuery.
- Trigger Outscraper data extractions based on BigQuery data changes.
- Create custom reports combining web scraping and database insights.
- Build automated dashboards showing real-time marketing trends from Outscraper.
Can I schedule data exports from Outscraper to BigQuery automatically?
Yes! Latenode lets you schedule data exports from Outscraper to Google Cloud BigQuery (REST), automating your data pipelines and saving time.
Are there any limitations to the Google Cloud BigQuery (REST) and Outscraper integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large datasets from Outscraper may take time to import into BigQuery.
- Complex BigQuery queries might require some JavaScript knowledge.
- Outscraper’s API limits still apply when used within Latenode.