Job Description
Build a Job Scraper from Official Company Career Portals
Project Overview
I'm looking for a developer to build an automated job scraper that collects software engineering and AI-related job openings directly from companies' official career websites across the United States.
The goal is to discover new job postings as early as possible, consolidate them into a structured database, and provide accurate job details with direct links to the original application pages.
Job Categories
Software Development Engineer (SDE) / Software Engineer
Data Engineer
AI / Machine Learning Engineer
Generative AI / LLM Engineer
RAG Engineer / AI Agent Engineer
Requirements
Scrape jobs directly from official company career portals, not just LinkedIn, Indeed, or other job boards.
Support multiple career systems, including Workday, Greenhouse, Lever, Ashby, SmartRecruiters, iCIMS, and custom company career websites where feasible.
Prioritize major US tech companies such as Google, Amazon, Meta, Microsoft, Apple, NVIDIA, OpenAI, and well-funded startups.
Collect US-based jobs only, including US remote positions.
Capture job title, company, location, work arrangement, description, salary when available, original posting date when available, first-discovered timestamp, and direct application URL.
Automatically run on a schedule and detect newly posted, duplicate, updated, and expired listings.
Leave unavailable information blank rather than inventing or incorrectly inferring it.
Use permitted APIs, feeds, and compliant scraping methods.
Deliverables
Working scraper with source-specific connectors.
Structured job database or export.
Automated scheduled collection.
Deduplication and job-status tracking.
Setup instructions, source documentation, and complete source code.
A demonstration using real job listings from multiple official company career portals.
I'm looking for a reliable, maintainable scraper with real data collection—not a frontend mockup or a scraper limited to a few job boards.
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來源:Freelancer.com | 出價次數:58 | 剩餘時間:6 日 | 專案類型:固定預算