> ## Documentation Index
> Fetch the complete documentation index at: https://brightdata-ipv6-release.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Request

## Introduction

Bright Data's 'Request a Custom Dataset' feature offers a streamlined and tailored approach to data acquisition.

By specifying domains, you can access precisely targeted data collection tailored to your unique needs.

This guide outlines the steps to request and obtain a custom dataset suited to specific needs

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## Step-by-Step Process

<Steps>
  <Step title="Initiate Request">
    * Access: Navigate to the 'Request Datasets' section to begin your custom dataset request.
  </Step>

  <Step title="Specify Data Requirements">
    * Details: Select specifics for your dataset, applicable for single or multiple requests.
  </Step>

  <Step title="Setup and Review">
    * Sample Dataset: Create and review a sample dataset.

    * Schema Review: Review and adjust the AI-generated schema or upload a custom schema in JSON format.

    * Approval: Click 'Approve Schema' after making necessary adjustments.
  </Step>

  <Step title="Review Data Sample">
    * Examine Sample: Assess the AI-created dataset sample to ensure it meets your criteria.

    * Format Options: Download the sample in JSON or CSV format for detailed review.

    * Approval: Click 'Approve Sample' to confirm it meets your requirements.
  </Step>

  <Step title="Define Data Collection Scope">
    * Scope Options: Choose from 'All Content', 'Part of the Website', or 'Unique URLs'.

    * Detailing: Provide an estimate of unique product records and specific collection details (e.g., 'all TVs in Electronics').

    * Confirmation: Click 'Approve Scope' to finalize your selection.
  </Step>

  <Step title="Set Validation Rules">
    * Rules Configuration: Set parameters for minimum and maximum records, record completeness, and limits for crawl errors.

    * Quality Assurance: These rules ensure data accuracy and integrity.

    * Finalize: Click 'Approve Rules and Complete Review'.
  </Step>

  <Step title="Complete Request and Proceed to Payment">
    * Final Review: Ensure all details are accurate and complete.

    * Payment: Click 'Continue' to proceed to the payment step.
  </Step>

  <Step title="Payment Process">
    * Billing Details: Enter your billing information.

    * Payment Method: Select your preferred payment method.

    * Confirmation: Complete the payment to initiate the data sample preparation.
  </Step>

  <Step title="Order Confirmation and Tracking">
    * Confirmation: Receive order confirmation with a 'POC' badge for easy tracking.

    * Tracking: Use the 'Track Your Request' feature to monitor progress.
  </Step>

  <Step title="Data Collection Progress">
    * Behind the Scenes: The system is actively collecting and validating data from the target website.
  </Step>

  <Step title="Data Sample Review">
    * Notification: Receive an email or dashboard notification once the data sample is ready.

    * Validation Results: Review the validation results for data accuracy and integrity.

    * Sample Review: Examine the data sample for quality and relevance.

    * Options: Download the sample, report issues, or proceed to purchase the full dataset.
  </Step>

  <Step title="Purchase Options">
    * One-time Purchase: Acquire the current dataset snapshot immediately.

    * Subscription: Opt for regular dataset updates with a recurring charge.
  </Step>

  <Step title="Finalizing the Full Dataset Request">
    * Decision: Choose the appropriate purchase option based on your needs.

    * Completion: Confirm the order and expect to receive the full dataset as per the estimated timeline.
  </Step>
</Steps>