Automated Lead Data Enrichment in Google Sheets

This AI-driven workflow enriches lead data in Google Sheets by automatically retrieving missing LinkedIn profiles, job titles, and industries from the web using search and AI agents. It updates the sheet with enriched information, streamlining the lead enrichment process for sales and marketing teams.

How the AI Flow works - Automated Lead Data Enrichment in Google Sheets

Flows

How the AI Flow works

Retrieve Lead Data from Google Sheets.
Fetches existing lead data from a Google Sheets document to prepare for enrichment.
Check and Add Missing Columns.
Ensures essential columns like LinkedIn, Job Title, and Industry exist in the sheet, adding them if necessary.
Enrich Data Using AI and Web Search.
For each lead, uses AI Agents and Google Search to find missing information such as LinkedIn profiles, job titles, and industries.
Update Google Sheet with Enriched Information.
Automatically writes the enriched data back into the corresponding rows and columns in the Google Sheet.
Notify or Display Results.
Shows the outcome of the enrichment process to the user through chat outputs.

Prompts used in this flow

Below is a complete list of all prompts used in this flow to achieve its functionality. Prompts are the instructions given to the AI model to generate responses or perform actions. They guide the AI in understanding user intent and generating relevant outputs.

Components used in this flow

Below is a complete list of all components used in this flow to achieve its functionality. Components are the building blocks of every AI Flow. They allow you to create complex interactions and automate tasks by connecting various functionalities. Each component serves a specific purpose, such as handling user input, processing data, or integrating with external services.

Google Sheets Retriever

Integrate your Google Sheets with FlowHunt workflows using the Google Sheets Retriever component. Effortlessly fetch and utilize spreadsheet data as part of your automation, enabling dynamic data-driven processes and advanced workflow logic.

Tool Calling Agent

Explore the Tool Calling Agent in FlowHunt—an advanced workflow component that enables AI agents to intelligently select and use external tools to answer complex queries. Perfect for building smart AI solutions that require dynamic tool usage, iterative reasoning, and integration with multiple resources.

Add Column in Google Sheets

Easily add a new column to any Google Sheets document within your automated workflow. This component lets you specify column names and values, seamlessly updating your spreadsheet with new data—ideal for dynamic data management and integration tasks.

ChatInput

The Chat Input component in FlowHunt initiates user interactions by capturing messages from the Playground. It serves as the starting point for flows, enabling the workflow to process both text and file-based inputs.

Chat Output

Discover the Chat Output component in FlowHunt—finalize chatbot responses with flexible, multi-part outputs. Essential for seamless flow completion and creating advanced, interactive AI chatbots.

Custom Trigger

Unlock custom workflows with the Custom Trigger component in FlowHunt. This component allows users to define specific trigger points within their flow, enabling tailored actions based on custom events or inputs. Essential for building interactive and flexible automation workflows.

AI Agent

The AI Agent component in FlowHunt empowers your workflows with autonomous decision-making and tool-using capabilities. It leverages large language models and connects to various tools to solve tasks, follow goals, and provide intelligent responses. Ideal for building advanced automations and interactive AI solutions.

GoogleSearch Component

FlowHunt's GoogleSearch component enhances chatbot accuracy using Retrieval-Augmented Generation (RAG) to access up-to-date knowledge from Google. Control results with options like language, country, and query prefixes for precise and relevant outputs.

URL Retriever

Unlock web content in your workflows with the URL Retriever component. Effortlessly extract and process the text and metadata from any list of URLs—including web articles, documents, and more. Supports advanced options like OCR for images, selective metadata extraction, and customizable caching, making it ideal for building knowledge-rich AI flows and automations.

Create Data

The Create Data component enables you to dynamically generate structured data records with a customizable number of fields. Ideal for workflows that require the creation of new data objects on the fly, it supports flexible field configuration and seamless integration with other automation steps.

Iterator

The Iterator component in FlowHunt automates repetitive tasks by executing a subflow or external flow for each item in a list. Ideal for batch processing, data enrichment, or applying the same logic to multiple inputs, it supports customizable concurrency and advanced options for flexible workflow automation.

Prompt Component in FlowHunt

Learn how FlowHunt's Prompt component lets you define your AI bot’s role and behavior, ensuring relevant, personalized responses. Customize prompts and templates for effective, context-aware chatbot flows.

Flow description

Purpose and benefits

Overview

This workflow automates the enrichment of outreach data stored in a Google Sheet. It is designed to automatically find missing information such as LinkedIn profiles, job titles, and industries for contacts in your spreadsheet by leveraging AI agents, Google Search, and dynamic data manipulation. The process not only fetches this data but also updates your Google Sheet accordingly. This solution is highly valuable for scaling and automating data enrichment tasks, eliminating manual research, and ensuring your outreach lists are always up-to-date and comprehensive.

Main Goals and Use Cases

  • Automated Data Enrichment: Automatically retrieve and fill in missing LinkedIn URLs, job titles, and industries for contacts in a Google Sheet.
  • Reduce Manual Work: Save hours of manual research and data entry for sales, marketing, or HR teams.
  • Maintain Data Quality: Ensure your outreach lists are complete, accurate, and up-to-date.
  • Scalability: The workflow is designed to process data in bulk, making it suitable for large-scale operations.

High-Level Workflow Steps

  1. User Interaction & Initialization

    • The workflow welcomes the user with a button and a message explaining the process.
    • The user can upload or select a Google Sheet from which contacts will be enriched.
  2. Google Sheet Retrieval & Preparation

    • The content of the Google Sheet is fetched.
    • The workflow checks if the essential columns (“LinkedIn,” “Job Title,” “Industry”) exist; if not, it adds them automatically.
  3. Data Enrichment Process (Iterative for Each Row)

    • For each row/contact in the sheet, the workflow:
      • Searches for the person’s LinkedIn profile.
      • Retrieves the job title from LinkedIn.
      • Determines the industry associated with the contact.
  4. Automation & AI Integration

    • AI agents are used to perform Google searches, analyze web content, and extract relevant data.
    • The workflow dynamically creates new data entries and updates the corresponding cells in the Google Sheet.
  5. Output & User Feedback

    • The enriched data is written back to the Google Sheet.
    • The user receives feedback and confirmation messages at key steps via chat outputs.

Detailed Workflow Components

StepComponent NamePurpose
1Button Widget, Chat Input/OutputUser interaction and process start
2Google Sheets RetrieverFetches contact data from the provided Google Sheet
3Tool Calling AgentChecks/creates required columns (“LinkedIn,” etc.)
4IteratorsProcesses each row/contact individually
5AI Agents + Google Search + URL RetrieverFinds LinkedIn URLs, job titles, and industry information
6Create DataStructures the new information for each contact
7Google Sheets UpdaterWrites enriched data back into the appropriate sheet columns
8Chat Outputs, NotesProvides feedback, instructions, and status updates

How the Enrichment Works

  • Finding LinkedIn Profiles:
    For each contact, an AI agent uses Google Search (and optionally parses web pages) to find the most likely LinkedIn URL. If multiple links are found, the agent selects the best one and notifies the user.

  • Extracting Job Titles:
    Once a LinkedIn profile is found, the AI agent scrapes or interprets the job title from the profile page content.

  • Determining Industry:
    The agent further determines the contact’s industry, either from LinkedIn or other publicly available sources.

  • Updating Google Sheet:
    For each successful enrichment, the workflow writes the new data (LinkedIn, Job Title, Industry) directly into the corresponding row and column in the Google Sheet.

Automation Flow Structure

Below is a simplified view of the automation logic:

flowchart TD
    Start([User clicks Start / uploads Sheet])
    GetSheet([Retrieve Google Sheet data])
    CheckColumns([Ensure LinkedIn/Job Title/Industry columns exist])
    ForEachRow([For each row in Sheet])
    SearchLinkedIn([AI agent finds LinkedIn URL])
    ExtractJobTitle([AI agent extracts Job Title])
    DetermineIndustry([AI agent determines Industry])
    UpdateSheet([Update Sheet with new data])
    NotifyUser([Provide feedback to user])
    
    Start --> GetSheet --> CheckColumns --> ForEachRow
    ForEachRow --> SearchLinkedIn --> ExtractJobTitle --> DetermineIndustry --> UpdateSheet
    UpdateSheet --> NotifyUser

Why This Workflow is Useful

  • Scalability:
    It enables teams to enrich thousands of contacts efficiently, making it feasible to maintain large, high-quality outreach databases.

  • Automation:
    All research and data entry steps are automated, freeing human resources for higher-value tasks.

  • Consistency & Data Quality:
    Ensures every contact has complete information, improving personalization and targeting in outreach efforts.

  • Flexibility:
    The modular construction (triggers, iterators, AI agents, data creators) makes it easy to adapt or extend for other data enrichment needs.

Notes & Instructions

  • Make sure to add the correct Google Sheet via the advanced settings by clicking on “Open Google Drive.”
  • You may need to specify the column names for the enrichment to work properly.
  • The workflow provides instructional notes in the interface to guide you through setup.

In summary:
This workflow is a robust, scalable automation for enriching outreach data in Google Sheets with up-to-date LinkedIn profiles, job titles, and industry information. It seamlessly combines AI agents, web search, and spreadsheet automation to save time, improve outreach effectiveness, and maintain high data quality across your contact lists.

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