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Automatically update your Google Ads campaigns based on Firecrawl data to optimize ad spend. Latenode's visual editor simplifies the creation of customized, data-driven rules, and affordable execution costs ensure efficient scaling.
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In the workspace, click the βCreate New Scenarioβ button.

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

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

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

Firecrawl
β
Google Ads
Now, click the Google Ads node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Ads settings. Authentication allows you to use Google Ads through Latenode.
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Use various Latenode nodes to transform data and enhance your integration:

JavaScript
β
AI Anthropic Claude 3
β
Google Ads
Trigger on Webhook
β
Firecrawl
β
β
Iterator
β
Webhook response
After configuring Firecrawl, Google Ads, and any additional nodes, donβt 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.
Run the scenario by clicking βRun onceβ and triggering an event to check if the Firecrawl and Google Ads integration works as expected. Depending on your setup, data should flow between Firecrawl and Google Ads (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Firecrawl + Google Ads + Slack: When Firecrawl detects significant ranking changes after a website crawl, a notification is sent to a designated Slack channel, prompting the marketing team to review and adjust Google Ads campaigns accordingly.
Google Ads + Firecrawl + Google Sheets: This automation tracks Google Ads campaign spending. After a Firecrawl website crawl, the ranking data is pulled and added to a Google Sheet, allowing the marketing team to calculate ROI based on SEO ranking improvements.
About Firecrawl
Use Firecrawl in Latenode to extract structured data from websites at scale. Monitor product prices, track competitors, or collect research data automatically. Unlike standalone scrapers, Latenode lets you integrate scraped data into complex workflows with custom logic and direct API connections, all without code.
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About Google Ads
Use Google Ads in Latenode to automate campaign management and reporting. Pull ad performance data, adjust bids based on real-time events, or trigger alerts for budget changes. Combine with other apps to build custom marketing workflows. Latenode's flexibility avoids rigid, pre-built integrations and costly per-step pricing.
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How can I connect my Firecrawl account to Google Ads using Latenode?
To connect your Firecrawl account to Google Ads on Latenode, follow these steps:
Can I automate keyword updates in Google Ads based on Firecrawl data?
Yes, you can! Latenode lets you automate this, using Firecrawl's insights to dynamically adjust your Google Ads campaigns. This ensures your ads target the most relevant keywords.
What types of tasks can I perform by integrating Firecrawl with Google Ads?
Integrating Firecrawl with Google Ads allows you to perform various tasks, including:
How does Latenode handle large-scale Firecrawl data for Google Ads?
Latenode efficiently manages large datasets using scalable cloud functions and parallel processing, enabling seamless data transfer from Firecrawl to Google Ads.
Are there any limitations to the Firecrawl and Google Ads integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: