PostgreSQL and Scrapeless Integration

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Automate data scraping with Scrapeless and store it directly in PostgreSQL. Latenode's visual editor and affordable execution pricing makes it easier to build and scale custom data pipelines while minimizing costs.

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PostgreSQL

Scrapeless

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect PostgreSQL and Scrapeless

Create a New Scenario to Connect PostgreSQL and Scrapeless

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 PostgreSQL, triggered by another scenario, or executed manually (for testing purposes). In most cases, PostgreSQL or Scrapeless will be your first step. To do this, click "Choose an app," find PostgreSQL or Scrapeless, and select the appropriate trigger to start the scenario.

Add the PostgreSQL Node

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

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PostgreSQL

Configure the PostgreSQL

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

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Sign In

Run node once

Add the Scrapeless Node

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

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Authenticate Scrapeless

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

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Configure the PostgreSQL and Scrapeless Nodes

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

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The action ID

Run node once

Set Up the PostgreSQL and Scrapeless 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 PostgreSQL, Scrapeless, 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 PostgreSQL and Scrapeless integration works as expected. Depending on your setup, data should flow between PostgreSQL and Scrapeless (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect PostgreSQL and Scrapeless

Scrapeless + PostgreSQL + Slack: Scrapeless crawls a website for product updates. If changes are detected, the updated data is stored in a PostgreSQL database. Slack then sends a notification to a specified channel alerting users of the changes.

Scrapeless + PostgreSQL + Google Sheets: Scrapeless extracts competitor pricing data from specified websites and stores it in a PostgreSQL database. The scraped data, along with any changes over time, is also logged in a Google Sheet for analysis and historical tracking.

PostgreSQL and Scrapeless integration alternatives

About PostgreSQL

Use PostgreSQL in Latenode to automate database tasks. Build flows that react to database changes or use stored data to trigger actions in other apps. Automate reporting, data backups, or sync data across systems without code. Scale complex data workflows easily within Latenode's visual editor.

About Scrapeless

Use Scrapeless in Latenode to extract structured data from websites without code. Scrape product details, news, or social media feeds, then pipe the data into your Latenode workflows. Automate lead generation, price monitoring, and content aggregation. Combine Scrapeless with Latenode's AI nodes for smarter data processing.

See how Latenode works

FAQ PostgreSQL and Scrapeless

How can I connect my PostgreSQL account to Scrapeless using Latenode?

To connect your PostgreSQL account to Scrapeless on Latenode, follow these steps:

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

Can I track website data changes in a database?

Yes, you can! Latenode's visual editor makes it easy to extract data from Scrapeless and store it in PostgreSQL. Schedule automatic updates and analyze trends with ease.

What types of tasks can I perform by integrating PostgreSQL with Scrapeless?

Integrating PostgreSQL with Scrapeless allows you to perform various tasks, including:

  • Automatically backing up scraped website content into a database.
  • Monitoring product prices and saving them to a PostgreSQL table.
  • Building a custom job board by scraping data and storing it.
  • Creating lead lists from scraped data and storing in PostgreSQL.
  • Tracking competitor activities and storing their strategies in a database.

How secure is my PostgreSQL data on Latenode’s platform?

Latenode employs industry-standard security measures, including encryption and access controls, to protect your PostgreSQL data at all times.

Are there any limitations to the PostgreSQL and Scrapeless integration on Latenode?

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

  • Scrapeless usage is subject to their fair use policies and rate limits.
  • Very large PostgreSQL databases may require optimized queries for efficient data handling.
  • Complex website structures may require advanced Scrapeless configurations.

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