Hire the Best Json-LD Developers

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Rating is 4.8 out of 5.
4.8/5
Based on 1,869 client reviews

Cj V.

Python Developer | Backend, ETL Pipelines, Full Stack Web Apps

Bacoor, Philippines
$30 per hour
71 jobs

I build web scrapers and data pipelines that stay alive in production — including on sites with aggressive bot detection. After 5+ years, the #1 reason scrapers fail is the same: they get detected within days. I build collection that behaves like real traffic, respects rate limits, and delivers clean structured data on schedule, so you stop paying for re-fixes. What I deliver • Multi-site, multi-country scraping systems with reusable architecture • Resilience against modern anti-bot systems (Cloudflare, DataDome, PerimeterX) through proper browser automation, proxy management, and pacing • Scheduled pipelines into BigQuery, PostgreSQL, Google Sheets, or your database • Stabilization of broken or inherited scrapers, with monitoring and change detection Recent work • Multi-country e-commerce product and price monitoring across Europe and Asia — Sheets output plus BigQuery history • Multi-market product data platform for an enterprise client (Kubernetes-orchestrated, BigQuery warehouse) • ~1M-row public records pipeline rebuilt from fragile to production-grade Stack: Python, Playwright, Scrapy, curl_cffi, Docker, Kubernetes, GCP, BigQuery, PostgreSQL Best fit: scrapers that keep breaking, high-protection or multi-site targets, pipelines that must run unattended for months. Send the site or pipeline that's causing trouble and I'll tell you how I'd approach it.

Ilja K.

JSON Schema Architect | Python Automation Engineer | Data Pipelines

Daugavpils, Latvia
$25 per hour
16 jobs
$20K+ total earnings

I design JSON Schema systems, Python automation workflows, and structured data pipelines for teams that need clean, scalable, and production-ready implementations. I help turn complex requirements into well-structured technical systems: validated schemas, transformation logic, ingestion pipelines, and maintainable automation flows. Typical projects I work on: • JSON Schema design and refactoring • Canonical and operational data model design • Python automation scripts and internal tools • Structured data transformation and validation pipelines • Schema mapping, normalization, and documentation • Workflow automation for data-heavy systems My background combines software engineering and hands-on industrial automation experience, which means I approach system design with strong attention to structure, validation, reliability, and real-world implementation constraints. Tools and technologies I commonly use include Python, JSON Schema, structured data modeling, validation workflows, automation logic, and technical documentation. If you need someone who can think through the structure, not just write code, I can help design and implement a system that is clean, extensible, and usable in practice.

Zehao J.

AI Engineer & Full-Stack Developer | LLM, RAG, AI Agent

Qingdao, China
$15 per hour
8 jobs

✅ 6+ Years of Full-Stack Engineering Experience ⚡ Production LLM / RAG / Agent Systems ⚡ AI-Powered Development for Faster Delivery & Better Code Quality 👀 Click Invite or Hire for AI features that ship in real products — not demos Looking for an engineer who can put LLMs into production — RAG, agents, and backend services that stay reliable after launch? For 6+ years I’ve built backend systems end to end: APIs, data models, auth, payments, and cloud deployment. Over the last stretch of that work I’ve focused on wiring Claude and OpenAI into real product flows: retrieval pipelines, multi-turn assistants, and agent-style workflows that call tools and write back to the backend. Primary stack: Java + Python, with PostgreSQL / Redis / Qdrant for data and retrieval. I care about systems that are clean to maintain, cheap enough to run, and ready to scale. What I can do for you: 𝐋𝐋𝐌 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 & 𝐏𝐫𝐨𝐦𝐩𝐭 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 | Claude API · OpenAI · Prompt Design · Connect Claude or OpenAI into live product workflows (not notebook demos) · Design prompts and output contracts that your backend can parse and act on · Multi-turn dialogue with session state, context windows, and failure handling · Guardrails: retries, timeouts, rate limits, logging, and cost control 𝐑𝐀𝐆 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 | Embeddings · Qdrant · Retrieval Pipelines · Spring Data · Design chunking, embedding, and indexing pipelines · Store and query vectors in Qdrant (similarity search, metadata filters) · Build retrieval → context assembly → generation loops behind REST APIs · Cache hot retrieval paths with Redis; tune for latency and answer quality 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 & 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 | Tool Calling · Event-Driven Workflows · Backend Orchestration · Agent-style flows: model decides → backend tools run → results return to the model · Hook LLM steps into queues, webhooks, and scheduled jobs · Automations that touch your DB, payments, notifications, or third-party APIs · Keep agent logic testable and observable inside a normal Spring service layer 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐀𝐏𝐈 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 | Java · Spring Boot · Spring MVC · Spring Security · JWT · Design and build RESTful APIs from scratch · Implement authentication & authorization (JWT, Spring Security, role-based access control) · Structure business logic that is clean, testable, and maintainable 𝐃𝐚𝐭𝐚 & 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 | PostgreSQL · MySQL · Redis · Docker · Nginx · CI/CD · Schema design, migrations, complex queries, performance work · Production setup on DigitalOcean: Docker, Nginx, SSL, CI/CD · Stripe subscriptions/webhooks when billing sits next to AI features 𝐅𝐫𝐨𝐧𝐭𝐞𝐧𝐝 𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐨𝐧 | Vue3 · Nuxt.js · TypeScript · Tailwind CSS · Work alongside frontend teams or handle supporting frontend work independently · Define API contracts, handle CORS, integrate backend services end-to-end I communicate clearly, deliver on schedule, and am comfortable working independently from requirements through to deployment. Feel free to reach out with your project.

Usama M.

Full Stack Developer | Claude | AI Automation | Node | Python

Lahore, Pakistan
$15 per hour
25 jobs

With 6+ years of software engineering experience, I build and ship AI-powered products, SaaS platforms, automation systems, mobile applications, enterprise software, and real-time media systems. I work across Node.js, React, Next.js, Python, FastAPI, TypeScript, APIs, AI integrations, cloud infrastructure, and production deployment. Whether you are building a new product or improving an existing codebase, I can take ownership and deliver independently. I build practical AI software that connects models to business data, documents, APIs, SaaS platforms, media pipelines, and real-world workflows. 𝐂𝐨𝐫𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 ✅ AI SaaS, RAG applications, AI agents, and knowledge systems ✅ Business automation for documents, CRMs, reporting, APIs, webhooks, and internal workflows ✅ Full-stack applications with Next.js, React, Node.js, Python, FastAPI, PostgreSQL, Supabase, MongoDB, and Redis ✅ Enterprise systems including custom dashboards, CRMs, ERPs, marketplaces, and API integrations with scalable architecture ✅ Real-time and media systems using WebRTC, LiveKit, WebSockets, FFmpeg, HLS, and RTMP ✅ Mobile apps with React Native and Flutter ✅ Electron desktop apps and browser/workflow automation with Playwright, Puppeteer, Apify, and n8n ✅ Chrome extensions, REST and GraphQL APIs, microservices, and event-driven architecture 𝐒𝐞𝐥𝐞𝐜𝐭𝐞𝐝 𝐖𝐨𝐫𝐤 𝐄𝐯𝐢𝐝𝐞𝐧𝐜𝐀𝐈 | 𝐀𝐈 𝐑𝐞𝐥𝐢𝐚𝐛𝐢𝐥𝐢𝐭𝐲 & 𝐑𝐀𝐆 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 Worked on an AI platform focused on improving LLM reliability, implementing RAG and retrieval workflows, structured prompting, specialized AI workflows, and reducing hallucinations. 𝐂𝐨𝐧𝐭𝐞𝐧𝐭 𝐃𝐫𝐚𝐟𝐭𝐞𝐫 | 𝐀𝐈 𝐂𝐨𝐧𝐭𝐞𝐧𝐭 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 Worked on an AI SaaS application that generates content from text prompts and images using Next.js, Firebase, Python AI APIs, and Stripe. 𝐀𝐩𝐩𝐥𝐲𝐒𝐪𝐮𝐚𝐝 | 𝐀𝐈 𝐉𝐨𝐛 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 Worked on an AI-powered SaaS platform for finding relevant jobs and automating applications, including APIs, authentication, automation workflows, and production features. 𝐓𝐚𝐥𝐚𝐦𝐮𝐬 | 𝐌𝐮𝐥𝐭𝐢-𝐓𝐞𝐧𝐚𝐧𝐭 𝐒𝐚𝐚𝐒 Worked on a multi-tenant SaaS platform with PostgreSQL/Supabase, authentication, RLS, role-based permissions, secure data workflows, and complex business logic. 𝐀𝐟𝐭𝐞𝐫𝐋𝐢𝐛 | 𝐃𝐚𝐭𝐚-𝐇𝐞𝐚𝐯𝐲 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 Worked on a product research and competitor analysis platform involving large datasets, complex filtering, reporting, dashboards, and backend-driven business logic. 𝐀𝐈 & 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 I build AI functionality as part of complete software systems. My experience includes RAG, document processing, structured data extraction, AI agents, automated content, transcription, voice integrations, and AI APIs. I have worked with OpenAI, Claude, Gemini, Whisper, ElevenLabs, vector search, and retrieval workflows. 𝐀𝐈-𝐀𝐬𝐬𝐢𝐬𝐭𝐞𝐝 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 I use modern AI development tools including Cursor, Claude, and OpenAI to accelerate implementation while maintaining clean architecture, secure code, and production quality. I use AI to improve development speed, not replace engineering judgment. I remain responsible for architecture, implementation, integrations, testing, security, and production readiness. 𝐑𝐞𝐚𝐥-𝐓𝐢𝐦𝐞, 𝐕𝐢𝐝𝐞𝐨 & 𝐌𝐞𝐝𝐢𝐚 I work with WebRTC, LiveKit, WebSockets, FFmpeg, HLS, and RTMP for communication, recording, streaming, transcoding, clipping, and media workflows. 𝐌𝐨𝐛𝐢𝐥𝐞 & 𝐃𝐞𝐬𝐤𝐭𝐨𝐩 I build cross-platform mobile applications with React Native and Flutter, including APIs, authentication, real-time features, and AI functionality. For desktop, I use Electron for AI workflows, document automation, local file processing, and business tools. 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐒𝐭𝐚𝐜𝐤 AI: OpenAI, Claude, Gemini, Whisper, ElevenLabs, RAG, vector search, AI agents Frontend: React, Next.js, TypeScript, JavaScript Backend: Node.js, NestJS, Express, Python, FastAPI Mobile/Desktop: React Native, Flutter, Electron Data: PostgreSQL, Supabase, MongoDB, Redis Real-Time/Media: WebRTC, LiveKit, WebSockets, FFmpeg, HLS, RTMP Automation: n8n, Playwright, Puppeteer, Apify, APIs, webhooks Infrastructure: Docker, AWS, Vercel, S3, CloudFront, Nginx, RunPod 𝐇𝐨𝐰 𝐈 𝐖𝐨𝐫𝐤 I start with the business goal and technical requirements, then choose the architecture based on what the product actually needs. You get a senior engineer who works independently, understands existing codebases quickly, communicates clearly, and owns delivery. I can build end to end, take over an existing codebase, improve systems, or work alongside your team. If you are building an AI product, automating a business process, developing a SaaS platform, enterprise system, API, or real-time application, send me the details and I will explain the most practical technical approach.

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Don't just take our word for it

What does a Json-LD developer do?

A Json-LD developer authors and integrates structured data markup using the JSON-LD syntax to help search engines understand page content. This specialist maps website entities to standard vocabularies like schema.org and embeds the resulting code directly into HTML documents. The work focuses on generating valid application/ld+json script blocks that align precisely with visible page elements. These developers verify that the markup meets technical specifications for rich result eligibility in search interfaces.

  • Authors JSON-LD code blocks by selecting appropriate schema types and properties from the schema.org vocabulary to describe specific page entities such as articles, products, or events. This process involves translating business requirements and page content into standardized semantic structures that machines can parse accurately without ambiguity.
  • Integrates the generated JSON-LD markup into the relevant web pages by embedding it within script tags of type application/ld+json in the document head or body. The developer ensures this structured data remains synchronized with dynamic page content during development cycles and production releases to prevent mismatches between visible text and hidden metadata.
  • Validates the implemented structured data using diagnostic tools like Google Rich Results Test or Search Console to detect syntax errors and logical inconsistencies. This testing phase identifies issues that could block rich result eligibility and guides iterative fixes to ensure the markup complies with current search engine guidelines and technical specifications.

How to hire a Json-LD developer on Upwork

Step 1: Post a job

Define your structured data requirements clearly to attract specialists who understand schema vocabularies. The Job Post Generator powered by Uma™, Upwork's Mindful AI helps you draft a precise description in seconds. Describe your needs in a few sentences and Uma drafts a job post for the role. You can write a new post, update a saved draft, or reuse an existing post.

  • Specify which schema.org types and properties map to your page entities, such as Product, Article, or LocalBusiness.
  • List the validation tools you require, including Google Rich Results Test or Search Console diagnostics, to confirm eligibility for rich results.
  • State whether the developer must embed JSON-LD directly into HTML templates or generate it dynamically through application code.

Step 2: Evaluate candidates

Look for portfolios that demonstrate valid application/ld+json markup deployed on live production sites. Uma can run instant video interviews and build shortlists with side-by-side comparisons to help you assess technical fit quickly.

  • Check for examples where the candidate mapped complex page content to specific schema vocabulary terms without introducing syntax errors.
  • Verify that their previous work includes documentation explaining how structured data stays in sync with content updates during releases.
  • Review test results they submitted that show fixed structured-data issues affecting search visibility or rich-result eligibility.

Step 3: Interview your top choices

Discuss how candidates handle schema changes and validate markup before deployment. Interviews can be scheduled and conducted within Upwork Messages with an immediate transcript and summary after each one.

  • Ask how they select appropriate schema types when multiple options exist for a single page entity.
  • Request an explanation of their process for debugging validation errors reported by Google Search Console.
  • Inquire about their method for ensuring JSON-LD generation remains accurate when site templates or content structures change.

Step 4: Agree on scope and begin work

Set clear milestones for markup authoring, validation, and deployment to keep the project on track. Use Upwork Messages and the contract workroom for communication and project management, plus identity verification, payment protection, hourly tracking, and project funds for security.

  • Define deliverables as working JSON-LD scripts embedded on specific production pages that match current page content.
  • Require a mapping document that lists every schema.org type and property used in the generated markup.
  • Include a final milestone for submitting validation reports that confirm zero structured-data errors for key pages.

Upwork is not affiliated with and does not sponsor or endorse any of the tools or services discussed in this article. These tools and services are provided only as potential options, and each reader and company should take the time needed to adequately analyze and determine the tools or services that would best fit their specific needs and situation.

The rates and information provided in this article are based on current data and industry sources available at the time of publication. Freelance rates can vary depending on factors such as experience, location, project scope, and market conditions. Readers are encouraged to conduct their own research to confirm current rates and trends, as this information may change over time.

How much does hiring a Json-LD developer cost?

$500-$1,500 per project is a typical range for focused Json-LD developer work. Final pricing depends on scope, technical complexity, required integrations, source-material quality, revision needs, and the freelancer's experience level.

Schema audit and mapping

$500-$1,000/project

Entry-level to mid-level
  • Identified gaps in current structured data coverage
  • Selected schema.org types for key page entities
  • Step-by-step guide for adding JSON-LD markup

Basic markup implementation

$1,000-$2,000/project

Mid-level
  • Embedded application/ld+json tags on target pages
  • Clean reports from Google Rich Results Test
  • Notes on where markup sits in the codebase

Dynamic data integration

$2,000-$4,000/project

Mid-level to senior-level
  • Server-side code that generates JSON-LD dynamically
  • Verification that markup matches live page content
  • Fallbacks for missing or incomplete data fields

Complex schema networks

$4,000-$7,500/project

Senior-level
  • Interlinked entities using @id and sameAs properties
  • Unified entity references across multiple URLs
  • Monitored structured data performance metrics

Enterprise automation systems

$7,500-$12,000/project

Expert-level
  • CI/CD steps that validate JSON-LD before deployment
  • Extended schema definitions for niche industry terms
  • Tools for non-developers to update structured data safely

Frequently asked questions

Is hiring a Json-LD developer worth it?

For most businesses, yes: hiring a Json-LD developer is worthwhile. This specialist authors precise structured data that helps search engines understand your content and display rich results. They fix validation errors that generic developers might miss during site updates.

How do I evaluate Json-LD developer candidates?

Review their ability to map page content to specific schema.org types and properties accurately. Ask them to share examples of JSON-LD they authored and validated using Google’s Rich Results Test.

What tools does a Json-LD developer use?

They use schema.org documentation to select vocabulary terms and Google Search Console to diagnose structured-data issues. Framework-specific code generators help them embed application/ld+json script tags into production pages.

How does a Json-LD developer keep markup in sync with content?

They integrate JSON-LD generation into the site’s development workflow so updates reflect current page entities. This process involves testing new markup against validation tools before each release.