핵심 요구사항
- Facebook Graph API 기반 참여 이벤트 수집 데이터 파이프라인 구현
- 효율적 쿼리를 위한 보안 저장소 및 API 계층 구축
- 날짜·게시물 ID·오디언스 세그먼트 필터링 관리자 대시보드 개발
- 역할 기반 인증 및 레이트 리밋 처리
- 30일 지표 2초 내 로딩, 1년 이상 데이터 보존
- 컨테이너화(Docker) 배포
Required stack
필요 기술
Node.jsReactPostgreSQLDockerFacebook Graph APIREST APIMySQLPHP
Project brief
프로젝트 내용
I am building a dedicated infrastructure that tracks user engagement on Facebook at scale. The goal is a full-stack service—back-end, front-end, and database—that can collect, store, and surface real-time insights such as reactions, comments, shares, and page growth, all through a clean internal dashboard.
Scope of work
• Design and implement the data pipeline that pulls engagement events from the Facebook Graph API.
• Build secure storage and an API layer so the data can be queried efficiently.
• Develop an admin-friendly web interface where I can filter results by date range, post ID, or audience segment.
• Include role-based authentication and basic rate-limit handling so the system is production ready.
Acceptance criteria
1. Dashboard loads the last 30 days of engagement metrics in under two seconds on a standard broadband connection.
2. Historical data is retained and queryable for at least one year.
3. Source code, README, and an environment setup script are delivered in a private repo.
4. No external CRM or email platform hooks are required at this stage; the service must run fully standalone.
You are free to choose the tech stack you are most productive with—Node.js, Python, Go, React, Vue, PostgreSQL, MongoDB, or similar are all fine—as long as deployment is containerised so I can spin it up quickly on my cloud instance.
Please outline your proposed architecture, estimated timeline, and any previous work with Facebook APIs or comparable social analytics tools when you place your bid.
Scope of work
• Design and implement the data pipeline that pulls engagement events from the Facebook Graph API.
• Build secure storage and an API layer so the data can be queried efficiently.
• Develop an admin-friendly web interface where I can filter results by date range, post ID, or audience segment.
• Include role-based authentication and basic rate-limit handling so the system is production ready.
Acceptance criteria
1. Dashboard loads the last 30 days of engagement metrics in under two seconds on a standard broadband connection.
2. Historical data is retained and queryable for at least one year.
3. Source code, README, and an environment setup script are delivered in a private repo.
4. No external CRM or email platform hooks are required at this stage; the service must run fully standalone.
You are free to choose the tech stack you are most productive with—Node.js, Python, Go, React, Vue, PostgreSQL, MongoDB, or similar are all fine—as long as deployment is containerised so I can spin it up quickly on my cloud instance.
Please outline your proposed architecture, estimated timeline, and any previous work with Facebook APIs or comparable social analytics tools when you place your bid.
지원 기회 분석
지원 전에 볼 것
예상 산출물
- 소스코드(프라이빗 저장소)
- README 문서
- 환경 설정 스크립트
- 컨테이너화된 배포 구성
매력 포인트
- 요구사항·수용 기준이 비교적 명확
- 기술 스택 선택 자유도 높음
확인할 점
- 예산 $15~$25로 요구 범위(풀스택+파이프라인+대시보드) 대비 극도로 비현실적
- 입찰 115건·평균 $19로 저가 경쟁 과열
- 대규모 실시간 수집이라는 스펙과 예산의 심각한 불일치
Client signal
클라이언트 정보
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