Automate LinkedIn Profile Scraping and Data Management with Apify and Google Sheets
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Streamline your lead generation and market research by automatically scraping LinkedIn profiles and organizing the data directly into Google Sheets. This workflow leverages Apify's powerful scraping capabilities with the seamless integration of Google Sheets.
About This Workflow
This n8n workflow automates the process of extracting valuable information from LinkedIn profiles and saving it into a structured Google Sheet. It begins by reading a list of LinkedIn profile URLs from a specified Google Sheet. Then, it utilizes Apify's LinkedIn scraper to fetch detailed profile data for each URL. The scraped results are then meticulously organized, mapping key profile attributes like name, headline, experience, and contact information to columns in another Google Sheet. This integration eliminates manual data entry, significantly boosting efficiency for sales, marketing, and research teams.
The workflow is designed for robustness, handling potential errors and retries during the scraping process. It ensures that your LinkedIn data is consistently updated and readily accessible for analysis and action.
Key Features
- Automated LinkedIn Profile Scraping: Effortlessly extract data from multiple LinkedIn profiles.
- Google Sheets Integration: Seamlessly save scraped data to your preferred Google Sheet for easy access and analysis.
- Customizable Data Mapping: Define which LinkedIn profile fields are relevant to your needs and map them to specific Google Sheet columns.
- Error Handling & Retries: Built-in mechanisms to manage scraping errors and ensure data completeness.
- Scalable Solution: Easily adapt the workflow to handle larger volumes of LinkedIn profiles.
How To Use
- Set up Google Sheets: Ensure you have two Google Sheets: one for your input LinkedIn URLs and another for the output of scraped data. Note the Document ID and Sheet Name/ID for both.
- Configure Google Sheets Nodes: In the n8n workflow, update the
Read LinkedIn URLs1andSave to Google Sheets1nodes with your Google Sheet Document IDs and Sheet Names. - Set up Apify Credentials: Obtain your Apify API key and configure the
Header Auth accountcredential with the necessary API token. - Connect LinkedIn URLs to Apify Scraper: Ensure the
Read LinkedIn URLs1node correctly outputs the LinkedIn URLs to the subsequent nodes that initiate the Apify scraping process (Fetch Profile Data1,Run Scraper Actor1,Get Scraped Results1). - Map Scraped Data: In the
Save to Google Sheets1node, define thecolumnsto accurately map the desired scraped profile fields to your output Google Sheet. - Schedule and Run: Configure the trigger for your workflow (e.g., a schedule trigger) and activate the workflow to begin automated data collection.
Apps Used
Workflow JSON
{
"id": "b77bf8e9-9af3-44a5-9263-61f6c90f4915",
"name": "Automate LinkedIn Profile Scraping and Data Management with Apify and Google Sheets",
"nodes": 6,
"category": "Operations",
"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: b77bf8e9-9af3...
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