AI-Powered Company Profile Enrichment with Bright Data & Gemini
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This n8n workflow automates the process of enriching company profiles by leveraging Bright Data for web scraping and Google Gemini for AI-driven data extraction and validation. It intelligently pulls company information, enriches it, and checks for key attributes like LinkedIn profiles, providing structured, actionable insights.
About This Workflow
This powerful n8n workflow streamlines company data acquisition and enrichment. It initiates by triggering a Bright Data web scraping job, intelligently polling for completion, and then parses the raw data using custom Python code. The core intelligence comes from the Google Gemini Chat Model, which processes the scraped information to extract structured details like company names and URLs. A sophisticated LangChain Structured Output Parser ensures data consistency, while conditional logic verifies the existence of LinkedIn profiles. The workflow effectively merges and organizes the enriched data, making it ideal for sales, marketing, and research teams needing accurate, up-to-date company intelligence at scale.
Key Features
- Automated Web Scraping: Seamless integration with Bright Data to trigger and retrieve rich company data snapshots.
- AI-Powered Data Enrichment: Leverages Google Gemini for advanced natural language processing to extract and refine specific company attributes.
- Structured Output Parsing: Utilizes LangChain's structured parser to ensure consistent and usable JSON data from AI responses.
- Intelligent Data Validation: Includes conditional logic to check for critical information like the presence of LinkedIn profiles.
- Custom Data Transformation: Employs Python code to parse, clean, and organize raw scraped data into a structured format.
How To Use
- Bright Data API Keys: In the
HTTP Request- Post API call to Bright Data,Snapshot Progress, andHTTP Request - Getting data from Bright Datanodes, replaceYOUR_API_KEYin theAuthorizationheader with your actual Bright Data API key. - Google Gemini Credentials: Ensure your Google Gemini credentials are set up in n8n. The
Google Gemini Chat Modelusesmodels/gemini-2.0-flash-lite. - Structured Output Schema: Review the
jsonSchemaExamplein theStructured Output Parsernode. Adjust it if the expected output from Google Gemini needs to match a different JSON structure. - Bright Data Dataset ID: Verify the
dataset_idin theHTTP Request- Post API call to Bright Datanode's query parameters matches the specific Bright Data dataset you intend to use. - Python Data Parsing: Customize the Python code in the
Code - Parse and Organize JSON Datanode if the input data structure from Bright Data changes or if you require different fields to be extracted and mapped. - LinkedIn Profile Check: Modify the conditions in the
LinkedIn Profile is Found?node if you have different criteria for validating a LinkedIn profile's presence or content.
Apps Used
Workflow JSON
{
"id": "ffc6c269-ec94-4bcd-b2c3-02e2bb7660b6",
"name": "AI-Powered Company Profile Enrichment with Bright Data & Gemini",
"nodes": 16,
"category": "Sales",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: ffc6c269-ec94...
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