You will get Middleware API from Undocumented Protocol/API
Rising Talent
Project details
This service is useful when you need to integrate with a web app, mobile app, vendor portal, internal dashboard, legacy system, or non-documented protocol. I can inspect request flows, authentication behavior, payload formats, and session logic, then implement a working API wrapper or automation service around it.
The goal is to turn a difficult manual process into a maintainable backend system your team can use through a simple API.
The goal is to turn a difficult manual process into a maintainable backend system your team can use through a simple API.
Programming Languages
TypeScript, GoCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$50
|
Standard
$120
|
Advanced
$250
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 5 days |
Number of Revisions | 0 | 1 | 1 |
Number of Pages Mined/Scraped | 5 | 5 | 5 |
Number of Sources Mined/Scraped | 5 | 5 | 5 |
Install Script | |||
Test Script | - | ||
Task Automation |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$25 - $250
Additional Revision
+$5
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JW
John W.
Jul 4, 2026
AI Automation With RAG - NodeJS/Bun
MM
Mike M.
Jun 24, 2026
E-Mail function on an established website
It is a pleasure to do business with him. He is a true professional, and I will continue to use his services again.
About Muh
AI Automation & Backend Systems | Scraping, LLMs, APIs, RAG, TS/Go
100%
Job Success
Sokaraja, Indonesia - 11:25 am local time
My work usually combines three parts:
1. Data collection — scraping, API-first extraction, web automation, document ingestion, and external data integration.
2. AI processing — LLM-based cleanup, classification, summarization, deduplication, enrichment, structured extraction, and reasoning over messy data.
3. Retrieval systems — RAG pipelines for searching, indexing, and answering questions from documents, scraped content, product catalogs, internal knowledge bases, or business records.
I work mainly with TypeScript, Node.js, Go, and Python when needed. My usual approach is API-first: inspect the website or system, find the most stable data path, then use browser automation only when necessary. For AI systems, I focus on practical backend workflows, not just prompt demos.
Relevant Upwork work includes KTB Automation API, Krungthai Business Bank Middleware Automation, and a recent 5-star website/email function project where the client described me as “a true professional” and said they would continue using my services.
Good fit for:
AI-powered web scraping and data extraction
RAG systems for documents, websites, or internal knowledge bases
LLM processing for scraped or messy data
Product, marketplace, real estate, lead, or research data pipelines
Chatbots connected to custom data sources
API-first extraction from websites with hidden or internal endpoints
Scheduled scraping jobs with CSV, Excel, Google Sheets, Airtable, or database output
Backend automation using Go, Node.js/Bun with TypeScript or Python.
I prefer practical systems over AI demos. The goal is clean data, reliable automation, useful retrieval, and a workflow that can be reused.
Send the target website, documents, required fields, output format, and whether this is one-time or recurring. I’ll tell you clearly whether I’m the right fit.
Steps for completing your project
After purchasing the project, send requirements so Muh can start the project.
Delivery time starts when Muh receives requirements from you.
Muh works on your project following the steps below.
Revisions may occur after the delivery date.
Reversing flow