Automated Company Data Enrichment and Analysis with Bright Data and Google Gemini
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Streamline your market research by automating the extraction of detailed company data from Bright Data and leveraging Google Gemini for insightful comparative analysis. Gain a competitive edge with actionable intelligence.
About This Workflow
This n8n workflow automates the complex process of gathering critical company information and performing deep-dive analysis. It begins by triggering a data discovery process with Bright Data based on a user-provided keyword. The workflow then intelligently polls for the completion of this data snapshot, retrieves the data, and meticulously parses and cleans it using Python. Finally, it sends the processed company information to Google Gemini's Chat Model to generate a sophisticated comparative analysis, highlighting similarities, differences, and key insights. This enables users to quickly understand market landscapes, identify trends, and make data-driven decisions with unparalleled efficiency.
Key Features
- Automated Data Acquisition: Seamlessly retrieve company data using Bright Data's powerful API.
- Intelligent Polling & Status Checks: Efficiently waits for and verifies data readiness.
- Data Cleaning & Structuring: Utilizes Python for precise parsing and formatting of raw data.
- AI-Powered Comparative Analysis: Leverages Google Gemini to generate in-depth insights on extracted company data.
- Customizable Data Fields: Easily modify the Python code to include specific data points relevant to your needs.
How To Use
- Configure Bright Data Credentials: Replace
YOUR_API_KEYin theHTTP Request- Post API call to Bright DataandSnapshot Progressnodes with your actual Bright Data API key. - Define Dataset ID: Ensure the
dataset_idin theHTTP Request- Post API call to Bright Datanode is correctly set togd_l1vijqt9jfj7olijeor update it if you are using a different dataset. - Input Keyword: The workflow expects a
Keywordinput from a previous node (e.g., a form submission, indicated byWhen User Completes Form). Ensure this input is correctly mapped. - Customize Data Parsing: Modify the
Code - Parse and Clean JSON Datanode's Python script to adjust which company data fields are extracted and how they are formatted based on your analysis requirements. - Configure Google Gemini: Set up your Google Gemini API credentials for the
Google Gemini Chat ModelandGoogle Gemini - Comparative Analysisnodes. - Review Analysis Prompt: Customize the prompt in the
Google Gemini - Comparative Analysisnode to tailor the AI's analysis to your specific needs, including the initial user-requested keyword. - Set Polling Interval: Adjust the
amountin theWait - Polling Bright Datanode to control how frequently the workflow checks for data completion (in seconds).
Apps Used
Workflow JSON
{
"id": "a417f1df-3d8a-4b3c-9fda-1d5d079ec77e",
"name": "Automated Company Data Enrichment and Analysis with Bright Data and Google Gemini",
"nodes": 24,
"category": "Marketing",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: a417f1df-3d8a...
About the Author
SaaS_Connector
Integration Guru
Connecting CRM, Notion, and Slack to automate your life.
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