Introduction

Deep Lookup is an AI-powered search tool designed to transform plain English queries into structured and accurate datasets. With Deep Lookup, you can quickly identify real-world entities—such as companies, people, products, news items, or real estate, that meet specific filters and criteria. Unlike traditional keyword searches, Deep Lookup employs detailed filtering, enrichment, and structured capabilities to deliver precise, insight-rich results ideal for research, analysis, and informed decision-making.

How Deep Lookup Works

Deep Lookup features intuitive, plain-language prompts in a straightforward, structured workflow:

1

Define Your Query

Begin your prompt with the phrase Find all, followed by the entity type and specific conditions you seek.

2

Specify Your Results

Clearly describe the columns you want in your dataset by starting a new line with the term Show:.

Example Prompt
Find all FinTech companies in Africa that offer cross-border B2B payments and processed ≥ $100M total transactions in 2023.
Show: Company name, HQ country, 2023 transaction volume, total funding, CEO name

Advanced Structured Lookup

Structured Lookup is an advanced feature within Deep Lookup. It allows you to enhance and customize your query by explicitly breaking it down into structured, intuitive steps and clearly defined output columns.

Structured Lookup helps you achieve even greater control over your results, making it ideal for complex searches requiring multiple conditions and enrichments.

Adding Custom Columns

Deep Lookup empowers you to add and define custom columns to enrich and filter your results further. These columns can be classified into two categories:

  • Enrichment Columns:
    Add extra contextual information or data points about each entity.
    Examples: revenue, CEO name, latest funding amount, stock price, or technology stack.

  • Constraint Columns:
    Define specific conditions or qualities each entity must meet. Results are returned as clear “yes,” “no,” or “not sure” answers.
    Examples:

    • “Is the company SOC 2 compliant?”
    • “Does the product integrate with Salesforce?”

Prompt Structure Guidelines

Your Deep Lookup queries can be naturally phrased. However, for optimal results, clearly specify three main components:

  • Entity Types:
    Clearly define which entities you want—companies, people, products, news items, properties, etc.
  • Filters (Criteria):
    Specify conditions and requirements (location, industry, funding size, team background, product features).
  • Output Columns:
    Identify precisely what data should appear in your results (CEO name, product integrations, funding round info).

Use one of two prompt formats depending on complexity:

Simple Format
Find all <entities> that meet <conditions>.
Show: Column1, Column2, Column3
Detailed Structured Format (recommended for more complex queries)
FIND ALL: [entity types]
FILTERS:
- Condition #1
- Condition #2
SHOW:
- Column #1 (description) [Enrichment or Constraint]
- Column #2 (description) [Enrichment or Constraint]

Editing and Adding Columns After Running

Once your results appear, Deep Lookup allows further refinement by enriching existing rows with additional column definitions. Simply describe the new information you wish to see—such as “previous employer of CEO” or “latest annual revenue”—for immediate enrichment.

By default, Deep Lookup allows up to 12 columns per query. Need more? Contact your Bright Data Account Manager.

Key Capabilities and Features

  • Natural Language Interface:
    Write your queries using plain English.
  • Advanced Structured Lookup:
    Break down your search into clearly structured steps and customize outputs.
  • Custom Column Definitions:
    Enhance entities with enrichment columns or specify strict criteria via constraint columns.
  • Transparent & Auditable:
    Results include explanations (reasoning) and citation source URLs to ensure transparency.
  • Scalable, Flexible Outputs:
    Easily export structured data outputs via UI (CSV), with forthcoming API support for JSON outputs.

Tips for Writing Effective Deep Lookup Queries

  • Stay Specific:
    Detailed conditions yield more accurate, targeted results.
  • Combine Filters Intelligently:
    Mix conditions from various facets—finance, geography, tech stack—for pinpoint accuracy.
  • Define Actionable Columns:
    Request only data that directly informs your decisions.
  • Iterate and Refine:
    Adjust your columns or filters to improve overall data insight.

Who Should Use Deep Lookup?

Deep Lookup is used across various roles and industries, empowering research, analysis, and business actions. Common users include:

  • Financial analysts
  • Investment professionals
  • Sales and Marketing teams
  • Compliance officers
  • Corporate strategists
  • M&A professionals
  • Product & market researchers

Examples of Effective Prompts

Use these prompts as templates or inspiration for your specific searches:

Market Mapping
Find all FinTech companies in Brazil that raised funding in the past 18 months and offer earned-wage access.
Show: company name, HQ city, last funding round, CEO name
Competitive Intelligence
Find all AI infrastructure startups that raised Series B in the last 6 months and are hiring distributed-systems engineers.
Show: company name, funding amount, lead investor, LinkedIn URL
Company Enrichment
Find all information for Stripe, Plaid, and Brex.
Show: HQ location, employee number, CEO name, latest funding round

Support & Usage Limits

  • Default Limits: 30 rows per query, up to 12 customizable columns, and up to 10 queries per workspace.

  • For expanded limits, API access (coming soon), special requests, or further assistance, please reach out to your Bright Data account manager.

Frequently Asked Questions (FAQ)