AI-Agentic LinkedIn Company Profile Finder is an end-to-end automation solution harnessing AI-driven agents to locate, parse, and extract company profile data from LinkedIn. Upon providing a list of target company names or keywords, the system automatically searches LinkedIn, identifies the official company pages, and scrapes relevant information including industry classification, employee count, headquarters location, company size, and brief descriptions. Extracted data is validated against predefined schemas, cleaned, and formatted into JSON. Bulk operations allow parallel processing of multiple queries, while customizable scrapers adapt to LinkedIn page structure changes. This agentic approach reduces manual effort, accelerates competitive research, and ensures consistent, accurate company intelligence for sales, marketing, and analytics workflows.

Faraday Web Researcher Agent is a Python-based AI agent that streamlines online research by automatically browsing websites, scraping relevant data, and generating comprehensive summaries. Utilizing OpenAI’s large language models and the LangChain framework, it chains multiple web navigation and processing steps to ensure thorough coverage. Users specify their research objectives, such as gathering statistics, extracting key points, or compiling literature reviews, and the agent executes the workflow, handling pagination and dynamic content. The output can be exported in JSON or CSV, enabling easy integration with analytics tools. By automating repetitive research tasks, Faraday enhances productivity, reduces human error, and accelerates insights for academia, marketing, competitive intelligence, and more.