Apify Actors Development Guide

Talent Scout is a specialized Apify Actor designed to streamline the technical recruiting process. It functions as an automated research engine that targets web platforms such as LinkedIn, GitHub, and Google to locate potential candidates. By integrating AI-driven evaluation, it transforms raw profile data into a high-quality, ranked list of candidates tailored to specific job descriptions and skill sets. This tool is intended for recruiters, HR managers, and hiring teams who need to source talent efficiently at scale without manual search overhead. It effectively bridges the gap between web scraping and decision-making by utilizing LLM inference to analyze qualifications and matched skills against technical requirements.

• Automated multi-platform scraping including LinkedIn, GitHub, and general web search results.

• Intelligent AI ranking using LLMs to score candidates based on provided job descriptions, skill requirements, and years of experience.

• Structured JSON data output containing candidate names, contact/profile URLs, skill summaries, and matching scores.

• Customizable filtering for location, technical expertise, and role-specific prerequisites.

• Built on the Apify SDK and Apify platform, ensuring high performance, scalability, and robust cloud-based execution.

• The Actor accepts input via JSON, requiring at minimum a jobTitle and jobDescription for accurate AI ranking.

• Users can define specific arrays for requiredSkills and niceToHave to refine candidate filtering.

• The execution uses the Apify environment and requires an APIFY_TOKEN for authentication and an OpenAI API key for the ranking logic.

• The system generates structured datasets which can be further exported to CSV or integrated into existing HR tech stacks or applicant tracking systems (ATS).

• Performance is optimized by running in isolated Docker containers, allowing for long-running processes or parallel execution across large job searches.