Generate & enrich LinkedIn leads with Apollo.io, LinkedIn API, Mail.so & GPT-3.5
Note: Now includes an Apify alternative for Rapid API (Some users can't create new accounts on Rapid API, so I have added an alternative for you. But immediately you are able to get access to Rapid API, please use that option, it returns more detailed data). Scroll to bottom for APify setup guide
This n8n workflow automates LinkedIn lead generation, enrichment, and activity analysis using Apollo.io, RapidAPI, Google Sheets and Mail.so.
Perfect for sales teams, founders, B2B marketers, and cold outreach pros who want personalized lead insights to drive better conversion rates.
โ๏ธ How This Workflow Works
The workflow is broken down into several key steps, each designed to help you build and enrich a valuable list of LinkedIn leads:
1. ๐ Lead Discovery (Keyword Search via Apollo)
- Pulls leads using Apollo.io's API based on keywords, industries, or job titles.
- Saves lead name, title, company, and LinkedIn URL to your Google Sheet.
- You can replace the trigger node from the form node to a webhook, whatsapp, telegram, etc, any way for you to send over your query variables over to initiate the workflow.
2. ๐ง Username Extraction (from LinkedIn URL)
- Extracts the LinkedIn username from profile URLs using a simple script node.
- This is required for further enrichment via RapidAPI.
3. โ๏ธ Email Lookup (via Apollo User ID)
- Uses the Apollo User ID to retrieve the leadโs verified work email.
- Ensures high-quality leads with reliable contact info.
- To double check that the email is currently valid, we use the mail.so api and filter out emails that fail deliverability and mx-record check. We don't wanna risk sending emails to no longer existent addresses, right?
4. ๐งพ Profile Summary Enrichment (via RapidAPI)
- Queries the LinkedIn Data API to fetch a leadโs profile summary/bio.
- Gives you a deeper understanding of their background and expertise.
5. ๐ฐ Recent Activity Collection (Posts & Reposts)
- Retrieves recent posts or reposts from each leadโs profile.
- Great for tailoring outreach with reference to what theyโre currently talking about.
6. ๐๏ธ Leads Database Update
- All enriched data is written to the same Google Sheet.
- New columns are filled in without overwriting existing data.
โ Smart Retry & Row Status Logic
Every subworkflow includes a fail-safe mechanism to ensure:
- โ
Each row has status columns (e.g.,
done,failed,pending). - ๐ A scheduled retry workflow resets failed rows to
pendingafter 2 weeks (customizable). - ๐ฌ This gives failed enrichments another chance to be processed later, reducing data loss.
๐ Google Sheets Setup
Template 1: Apollo Leads Scraping & Enrichment
Template 2: Enriched Leads Database
Make a copy to your Drive and use.
Columns will be filled as each subworkflow runs (email, summary, interests, etc.)
๐ Required API Keys
To use this workflow, youโll need the following credentials:
๐งฉ Apollo.io
- Sign up and get your key here: Apollo.io API Keys
- โ ๏ธ Important: Toggle the โMaster API Keyโ option to ON when generating your key.
This ensures the same key can be used for all Apollo endpoints in this workflow.
๐ RapidAPI (LinkedIn Data API)
- Subscribe to the API here: LinkedIn Data API on RapidAPI
- Use the key in the
x-rapidapi-keyheader in the relevant nodes.
โ๏ธ Mail.so
- Sign up and get your key here: Mail.so API
> ๐ก For both APIs, set up the credentials in n8n as โGeneric Credentialโ types.
This way, you wonโt need to reconfigure the headers in each node.
๐ ๏ธ Customization Options
- Modify the Apollo filters (location, industry, seniority) to target your ideal customers.
- Change retry interval in the scheduler (e.g., weekly instead of 2 weeks).
- Connect the database to your email campaign tool like Mailchimp or Instantly.ai.
- Replace the AI nodes with your desired AI agents and customize the system messages further to get desired results.
๐ Apify Update Guide
To use this workflow, youโll need the following credentials:
Login to Apify, then open this link; https://console.apify.com/actors/2SyF0bVxmgGr8IVCZ/
Click on integrations and scroll down to API Solutions and select "Use API endpoints". Scroll to "Run Actor synchronously and get dataset items" and copy the actor endpoint url then paste it in the placeholder inside the http node of Apify alternative flow "apify-actor-endpoint". That's it, you are set to go.
I am available for custom n8n workflows, if you like my work, please get in touch with me on email at joseph@uppfy.com
n8n Workflow: Generate & Enrich LinkedIn Leads
This n8n workflow is designed to automate the process of generating and enriching LinkedIn leads. It leverages a combination of data sources and AI capabilities to provide comprehensive lead information.
What it does
This workflow performs the following key steps:
- Triggers: The workflow can be initiated in one of three ways:
- Google Sheets Trigger: Listens for changes or new rows in a specified Google Sheet, likely containing initial lead data (e.g., company names, job titles).
- Schedule Trigger: Runs at predefined intervals (e.g., daily, weekly) to process leads.
- n8n Form Trigger: Initiates the workflow upon submission of an n8n form, allowing for manual input of lead generation requests.
- Initial Lead Data (Google Sheets): If triggered by Google Sheets, it reads data from a Google Sheet, which serves as the starting point for lead generation.
- Data Transformation (Edit Fields): Prepares the incoming data for further processing, potentially renaming fields or setting default values.
- Code Execution: Executes custom JavaScript code, likely to perform complex data manipulation, formatting, or to prepare prompts for the AI.
- AI Enrichment (OpenAI): Sends lead data to OpenAI (e.g., ChatGPT) to generate or enrich information. This could involve:
- Generating potential LinkedIn search queries.
- Inferring additional lead details based on existing data.
- Creating personalized outreach messages.
- Conditional Logic (If): Based on the results from the OpenAI enrichment, the workflow branches. This could be to:
- Filter out leads that don't meet certain criteria.
- Route leads for different types of enrichment or actions.
- HTTP Request (API Calls): Makes HTTP requests to external APIs. This is where the workflow would interact with services like Apollo.io or a LinkedIn API (if available and configured) to:
- Search for LinkedIn profiles.
- Retrieve additional contact information (email, phone).
- Verify lead data.
- Data Transformation (Split Out): If the API responses contain nested arrays or multiple items per lead, this node splits them into individual items for easier processing.
- Data Merging (Merge): Combines data from different branches or steps, ensuring all relevant information for a lead is consolidated.
- Final Output (Google Sheets): Writes the enriched lead data back to a Google Sheet, providing a centralized and updated list of leads.
Prerequisites/Requirements
To use this workflow, you will need:
- n8n Instance: A running n8n instance.
- Google Account: For Google Sheets integration.
- OpenAI API Key: For AI-powered lead generation and enrichment.
- Apollo.io Account (Optional, via HTTP Request): If the HTTP Request node is configured to use Apollo.io for lead data.
- LinkedIn API Access (Optional, via HTTP Request): If the HTTP Request node is configured to interact with LinkedIn for data. (Note: Direct LinkedIn API access for scraping is often restricted; this would likely rely on a third-party service or a custom integration).
- Credentials: Appropriate credentials configured in n8n for Google Sheets, OpenAI, and any other external APIs used by the HTTP Request nodes.
Setup/Usage
- Import the Workflow: Download the JSON provided and import it into your n8n instance.
- Configure Credentials:
- Set up your Google Sheets credentials.
- Set up your OpenAI API key credential.
- Configure any necessary HTTP Request credentials for Apollo.io, LinkedIn API, or other services.
- Configure Nodes:
- Google Sheets Trigger/Node: Specify the spreadsheet ID and sheet name for your lead input and output.
- Schedule Trigger: Adjust the schedule to your desired frequency.
- n8n Form Trigger: Customize the form fields as needed.
- Code Node: Review and adjust the JavaScript code if you need to change data processing logic or AI prompts.
- If Node: Modify the conditions to match your lead qualification criteria.
- HTTP Request Nodes: Update the URLs, headers, and body of the requests to interact with your specific lead enrichment services (e.g., Apollo.io, custom LinkedIn API wrappers).
- Activate the Workflow: Once configured, activate the workflow to start automating your lead generation and enrichment process.
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Slack App Setup Go to api.slack.com/apps and create a new app Under OAuth & Permissions, add these Bot Token Scopes: app_mentions:read chat:write channels:read Install the app to your workspace Copy the Bot User OAuth Token Create a dedicated channel (e.g., personal-finance-tracker) Invite your bot to the channel Google Gemini API Visit ai.google.dev Create an API key Save it for n8n credentials setup PostgreSQL Database Set up a PostgreSQL database (you can use Supabase free tier): Create a new project Note down connection details (host, port, database name, user, password) The workflow will auto-create the required table n8n Workflow Configuration Import the workflow and configure: A. Credentials Google Sheets OAuth2: Connect your Google account Slack API: Add your Bot User OAuth Token Google Gemini API: Add your API key PostgreSQL: Add database connection details B. Update Node Parameters All Google Sheets nodes: Select your finance spreadsheet Slack nodes: Select your finance channel Schedule Trigger: Adjust time if you prefer a different check-in hour (default: 11 PM) Postgres Chat Memory: Change sessionKey to something unique (e.g., financetrackeryour_name) Keep tableName as n8nchathistory_finance or rename consistently C. Slack Trigger Setup Activate the "Bot Mention trigger" node Copy the webhook URL from n8n In Slack App settings, go to Event Subscriptions Enable events and paste the webhook URL Subscribe to bot event: app_mention Save changes Test the Workflow Activate both workflow branches (scheduled and agent) In your Slack channel, mention the bot: @YourBot โน100 cash snacks Bot should respond with a preview Reply "yes" to approve Verify Google Sheets are updated How to customize Change Transaction Categories Edit the AI Agent's system message to add/remove categories. Current categories: travel, food, entertainment, utilities, shopping, health, education, other Modify Daily Check-in Time Change the Schedule Trigger's triggerAtHour value (0-23 in 24-hour format). Add Currency Support Replace โน with your currency symbol in: Format Daily Message code node AI Agent system prompt examples Switch AI Models The workflow uses Google Gemini, but notes recommend Claude. To switch: Replace "Google Gemini Chat Model" node Add Claude credentials Connect to AI Agent node Customize Debt Types Modify AI Agent's system prompt to change debt handling logic: Currently: IOwe and TheyOwe_Me You can add more types or change naming Add More Payment Methods Current: cash, online To add more (e.g., credit card): Update AI Agent prompt Modify Balances sheet structure Update balance calculation logic Change Approval Keywords Edit AI Agent's Phase 2 approval logic to recognize different approval phrases. Add Spending Analytics Extend the daily check-in to calculate: Weekly/monthly spending summaries Category-wise breakdowns Use additional Code nodes to process transaction history Important Notes โ ๏ธ Never trigger with normal messages - Only use app mentions (@botname) to avoid infinite loops where the bot replies to its own messages. ๐ก Context Awareness - The bot remembers conversation history, so you can reference "yesterday", "last week", or previous transactions naturally. ๐ Data Privacy - All your financial data stays in your Google Sheets and PostgreSQL database. The AI only processes transaction text temporarily. ๐ Backup Regularly - Export your Google Sheets periodically as backup. --- Pro Tips: Start with small test transactions to ensure everything works Use consistent person names for debt tracking The bot understands various formats: "โน500 cash food" = "paid 500 rupees in cash for food" You can batch transactions in one message: "โน100 travel, โน200 food, โน50 snacks"