Scrape Linkedin Using Relevance AI
AI Summary
Summary: LinkedIn Scraper Tool Demonstration by Scott from relevance.ai 1
I
- Introduction:
- Scott introduces a LinkedIn scraper tool.
- The tool gathers information from LinkedIn profiles and summarizes it using a language model (LM).
- Purpose:
- Demonstrates the capabilities of the tool.
- Illustrates potential uses of language models for various tasks.
- Demonstration:
- Scott runs the tool on his own LinkedIn profile.
- The tool outputs a summary of his profile.
- Customization:
- Scott clones a template to his account for customization.
- The build step allows for modification of the tool’s output.
- Process:
- The tool scrapes a LinkedIn profile, focusing on the ‘About’ and ‘Experience’ sections.
- It uses GPT to summarize the profile information.
- Additional Features:
- Users can add output steps to the tool, such as sending messages to Slack or posting to a CRM.
- Future integrations with HubSpot and Salesforce are mentioned.
- Bulk Operations:
- The tool can run in bulk, processing lists of LinkedIn profiles.
- Users can upload files, import data, and map columns for processing.
- Example given with LinkedIn URLs of Barack Obama, Shaquille O’Neal, and Bill Gates.
- Output:
- The tool generates a summary for each profile, which can be downloaded or integrated elsewhere.
- Conclusion:
- Scott offers the template link and mentions free sign-up with credits.
- The template is available for further customization by users.