Find employees at a list of companies. This AI agent searches Google for LinkedIn profiles that match specific job titles and seniority levels. It’s perfect for hiring, competitor research, or talent analysis. The results include full name, job title, seniority, location, and LinkedIn profile URL for each match.

Find senior [JOB_TITLE] working at the given company and based in [COUNTRY/CITIES].

## Instructions
- Search only LinkedIn Profile pages using `site:linkedin.com/in/` on Google
- Include profiles that mention "[JOB_TITLE]" and at least one seniority keyword: "lead", "senior", "architect", "expert", or "specialist" (to adapt)
- Return up to 10 profiles for this company
- If a profile seems related but uncertain, include it with a lower confidence score
- Focus only on profiles based in [COUNTRY], specifically in [CITIES]
- Exclude any profiles from other countries
- Only keep profiles that clearly mention "[COUNTRY]", "[CITIES]" in the snippet or title.
- Exclude profiles that mention another location.

==== Inputs ====
- Company Name: __ReplaceMeUsingSlash__
- Company Website: __ReplaceMeUsingSlash__

How to Use This AI Prompt

  1. Create a New Collection: Start by creating a new, empty collection in Datablist where the data will be stored. Click the '+ Create new collection' in the sidebar.
New Collection
New Collection

  1. Configure the Source:

    • Select Template: Find and choose the prompt from the "Template" dropdown menu. The prompt above will be automatically loaded.
    • For every item in: Enter a collection with items. The AI Agent will run for each item.
    • Prompt: Edit the prompt with variables from you collection. Use "/" to select a property.
    • Customize (Optional): You can adjust the AI model (e.g., GPT-4o mini is often cost-effective), edit the prompt for specific needs, or modify the expected Outputs.
Example of prompt
Example of prompt
  1. Review Outputs: Click Continue. Datablist will show the output fields defined in the prompt (Project Name, Client Company Name). Click the + icon next to each to create the corresponding properties (columns) in your collection.
Outputs
Outputs
  1. Run Import: Click Run import now. The AI Agent will start scraping the website based on the prompt and populate your collection.

Pricing

This data source uses Datablist credits on a usage basis. Costs depend on the complexity of the website and the number of pages visited.

Test to run the AI Agent on a single page first to get an estimation of the cost.

FAQ

How to start another run with the same configuation?

Once you run your AI Agent, click on the pink button on the top right of your data table to open it again with your last used settings.

Use your existing agent settings
Use your existing agent settings

What happens if the AI Agent tries to access a protected website or gets blocked?

The AI Agent automatically uses proxy servers when needed to access websites that might have scraping protections or geographic restrictions. This increases the chances of successful data extraction, though very heavily protected sites might still pose challenges.

How much data can I process with the AI Agent?

When running the AI Agent (either as an enrichment or a data source), Datablist collections can handle processing for up to 100,000 items (rows). For datasets larger than this, you may need to split your data into multiple collections.

How is the AI Agent different from the ChatGPT/Claude/Gemini enrichments?

The standard AI enrichments (ChatGPT, Claude, Gemini) process data already in your collection using the AI's existing knowledge. The AI Agent can actively interact with the live web—performing Google searches, browsing websites, and extracting new information based on your prompt.

How accurate are the results?

Accuracy depends heavily on the clarity and specificity of your prompt, as well as the complexity of the task and the information available online. Providing clear instructions, examples, and rules for handling errors improves results. Datablist often provides a confidence score for AI Agent outputs to help gauge reliability.