Structured Bulk Data Extract with Bright Data Web Scraper

Structured Bulk Data Extract with Bright Data Web Scraper automates the extraction of web data, enabling efficient collection and analysis for data analysts, scientists, and developers. This workflow integrates multiple nodes to check snapshot statuses, download data, and aggregate responses, ensuring timely and accurate data retrieval. It significantly streamlines the process of web scraping, saving time and reducing manual effort while providing valuable insights for AI and big data applications.

7/8/2025
16 nodes
Complex
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Categories:
Complex WorkflowManual Triggered
Integrations:
WaitAggregateSticky NoteReadWriteFile

Target Audience

This workflow is designed for:
- Data Analysts: Individuals who need to extract and analyze web data efficiently.
- Data Scientists: Professionals seeking to gather data for machine learning and statistical analysis.
- Engineers and Developers: Those looking to integrate web scraping capabilities into their applications or projects.
- Business Intelligence Professionals: Users who require structured data for reporting and decision-making processes.

Problem Solved

This workflow addresses the challenge of extracting structured bulk data from web sources using the Bright Data Web Scraper. It automates the entire process from initiating a scraping request to downloading and saving the data, ensuring that users can efficiently gather the required information without manual intervention.

Workflow Steps

  • Manual Trigger: The workflow starts when the user clicks ‘Test workflow’.
    2. Set Dataset ID and Request URL: It assigns the specific dataset ID and request URL for the scraping task.
    3. HTTP Request to Trigger Scraping: A POST request is sent to initiate the scraping process.
    4. Set Snapshot ID: The workflow captures the snapshot ID from the response for further tracking.
    5. Wait for Snapshot Completion: It pauses for 30 seconds to allow the scraping process to complete.
    6. Check Snapshot Status: A request is made to check the status of the snapshot, ensuring it is ready for download.
    7. Error Checking: If there are no errors, it proceeds to download the snapshot data.
    8. Download Snapshot: The snapshot data is downloaded in JSON format.
    9. Aggregate JSON Response: The downloaded data is aggregated for easier handling.
    10. Webhook Notification: A notification is sent to a specified webhook URL with the response data.
    11. Create Binary Data: The aggregated data is converted into a binary format for storage.
    12. Write to Disk: Finally, the binary data is written to disk as a JSON file.

    • Customization Guide

    To customize this workflow:
    - Change Dataset ID: Update the dataset_id in the ‘Set Dataset Id, Request URL’ node to target a different dataset.
    - Modify Request URL: Alter the request URL to scrape data from a different web page.
    - Adjust Wait Time: Modify the amount in the ‘Wait’ node if a longer or shorter wait is needed for the scraping process to complete.
    - Webhook Notification: Change the webhook URL in the ‘Initiate a Webhook Notification’ node to send notifications to a different endpoint.
    - File Path: Update the fileName in the ‘Write the file to disk’ node to save the output file in a different location.

    Structured Bulk Data Extract with Bright Data Web Scraper - N8N Workflow Directory