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Scrape website data with Firecrawl, then structure and store it in MySQL for analysis. With Latenode, easily transform the scraped data using JavaScript, ensuring consistent formatting and seamless integration into your database, all at an affordable cost.
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Create a New Scenario to Connect Firecrawl and MySQL
In the workspace, click the โCreate 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 Firecrawl, triggered by another scenario, or executed manually (for testing purposes). In most cases, Firecrawl or MySQL will be your first step. To do this, click "Choose an app," find Firecrawl or MySQL, and select the appropriate trigger to start the scenario.
Add the Firecrawl Node
Select the Firecrawl node from the app selection panel on the right.
Firecrawl
Configure the 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.
Add the MySQL Node
Next, click the plus (+) icon on the Firecrawl node, select MySQL from the list of available apps, and choose the action you need from the list of nodes within MySQL.
Firecrawl
โ
MySQL
Authenticate MySQL
Now, click the MySQL node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your MySQL settings. Authentication allows you to use MySQL through Latenode.
Configure the Firecrawl and MySQL 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 Firecrawl and MySQL Integration
Use various Latenode nodes to transform data and enhance your integration:
JavaScript
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AI Anthropic Claude 3
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MySQL
Trigger on Webhook
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Firecrawl
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Firecrawl, MySQL, and any additional nodes, donโt 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 โRun onceโ and triggering an event to check if the Firecrawl and MySQL integration works as expected. Depending on your setup, data should flow between Firecrawl and MySQL (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Firecrawl + MySQL + Google Sheets: Firecrawl extracts website data. This data is then stored in a MySQL database. Weekly, data from MySQL is summarized and added to a Google Sheet for reporting purposes.
MySQL + Firecrawl + Slack: When a new or updated row is detected in MySQL (reflecting changes found by Firecrawl), an alert is sent to a dedicated Slack channel.
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 MySQL
Use MySQL in Latenode to automate database tasks. Read, update, or create records based on triggers from other apps. Streamline data entry, reporting, or inventory management. Latenode's visual editor simplifies MySQL integrations, allowing you to build scalable workflows with no-code tools or custom JavaScript logic.
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How can I connect my Firecrawl account to MySQL using Latenode?
To connect your Firecrawl account to MySQL on Latenode, follow these steps:
Can I automatically save crawled data into MySQL?
Yes, you can! Latenode's visual editor makes it easy to automatically save Firecrawl data to MySQL. Store results, enrich data, and generate reports seamlessly.
What types of tasks can I perform by integrating Firecrawl with MySQL?
Integrating Firecrawl with MySQL allows you to perform various tasks, including:
How does Latenode handle large Firecrawl data exports?
Latenode excels at handling large datasets using efficient data streaming and processing, ensuring reliable Firecrawl data storage in MySQL without performance bottlenecks.
Are there any limitations to the Firecrawl and MySQL integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: