Simple LinkedIn profile collector

For the Simple LinkedIn profile collector, this automated workflow efficiently gathers LinkedIn profiles based on specified keywords and locations, transforming search results into an easily downloadable Excel file. It utilizes SerpAPI to conduct Google searches without being blocked, extracts relevant data, and stores it in a NocoDB database. This solution simplifies the process of collecting LinkedIn profiles, making it beginner-friendly and cost-effective while ensuring accurate follower counts and company names.

7/8/2025
23 nodes
Complex
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Categories:
Complex WorkflowManual Triggered
Integrations:
Sticky NoteConvertToFileSplitOutLangChainNocoDb

Target Audience

Target Audience


- Job Seekers: Individuals looking to enhance their LinkedIn profiles by gathering relevant information and connections.
- Recruiters: Professionals seeking potential candidates based on specific keywords and locations in LinkedIn.
- Marketing Professionals: Those interested in understanding LinkedIn demographics and follower counts for targeted campaigns.
- Small Business Owners: Entrepreneurs looking to connect with professionals in their industry for networking and partnership opportunities.
- Data Analysts: Individuals needing to analyze LinkedIn data for market research or competitive analysis.

Problem Solved

Problem Solved


This workflow efficiently fetches LinkedIn profiles based on specified keywords and locations via Google search, storing the results in an Excel file for easy download. It minimizes the risk of being blocked by Google by utilizing SerpAPI and processes the data in a user-friendly manner, making it accessible for beginners in automation and data collection.

Workflow Steps

Workflow Steps


1. Manual Trigger: The workflow starts with a manual trigger to initiate the process.
2. Search Parameter Setup: Users define the search criteria, including keyword, location, number of results, host language, geolocation, and search engine.
3. Google Search with SerpAPI: The defined parameters are used to perform a Google search through SerpAPI, retrieving relevant LinkedIn profiles.
4. Turn Results into Individual Items: The search results are split into individual items for further processing.
5. Edit Fields: Key fields such as Name, LinkedIn URL, Snippet, and Followers are extracted and prepared for analysis.
6. Company Name & Followers Extraction: Using OpenAI, the workflow transforms follower counts into actual numbers and extracts potential company names from the profiles.
7. Discard Meta Data: Unnecessary metadata is discarded to focus on essential information.
8. Generate Final Data: The relevant data is combined into a cohesive format.
9. Export to Excel: The final data is converted into an Excel file for download.
10. Store in NocoDB: Optionally, the data can be stored in a NocoDB table for further utilization.

Customization Guide

Customization Guide


- Adjust Search Parameters: Modify the keyword, location, and other search parameters in the Search parameter node to tailor the search to specific needs.
- Change Output Format: If a different file format is preferred, adjust the ConvertToFile node settings.
- OpenAI Model Selection: Users can choose different OpenAI models in the Company name & followers node based on their requirements.
- NocoDB Integration: To store data in a NocoDB table, ensure the correct table structure is set up and credentials are configured properly.
- Add Additional Nodes: Users can incorporate additional processing nodes to further refine or analyze the data as needed.