Automated Crypto News Pipeline

Overview

Cryptocurrency media platforms require rapid content turnaround to capture market movements. This project replaces manual monitoring and drafting with a multi-agent automated system that aggregates international crypto news (or any other kind of news), summarizes it for concision, categorizes and rates it by overall importance, and prepares structured drafts for editorial review.

The Problem

The editorial team was spending critical hours tracking disparate RSS feeds, manually translating foreign market updates, and copying data into their content management system by hand. This friction led to delayed publishing times and high resource expenditure for routine curation tasks.

Architecture

The system uses an event-driven automation framework built inside n8n to orchestrate data ingestion, processing, and publishing:

Ingestion Layer polls monitored cryptocurrency RSS feeds and news APIs at regular intervals to capture high-priority industry developments.

Processing & Parsing Node filters out duplicate and spam articles, extracts clean text from raw feeds, and formats incoming metadata for downstream consumption.

Translation & Localization Engine routes the extracted text through an LLM automation step to translate the content accurately, ensuring technical blockchain terminology is preserved correctly in the target language.

Publishing Integration connects directly to GitHub, automatically mapping the translated content, tags, and source metadata into a structured draft commit for the Astro-based site, ready for final human approval or fully automatic publishing.

Bilingual Extension — the same pipeline now auto-publishes Farsi translations alongside English originals, creating a dual-language crypto news feed with zero added human effort. Persian-speaking readers get real-time crypto news translated by AI while blockchain terminology stays accurate, a direct application of my seven years as a professional translator.

Results

• Complete automation of the news gathering and translation pipeline
• Zero manual copying required to move external news into published drafts
• Real-time bilingual updates for international and Persian-speaking cryptocurrency readers

Technical Challenges

Maintaining terminology accuracy during translation was the primary challenge. Naive translation engines misinterpret specific blockchain terms. I resolved this by writing precise localization prompts within the automation workflow to preserve technical context.

The second challenge involved handling API rate limits and structural inconsistencies across diverse RSS feeds. I optimized the workflow with data-filtering nodes to standardize payloads before sending requests downstream.

Stack

n8n, PostgreSQL, Browserless, OpenAI/OpenRouter, GitHub API, Telegram Bot API, JavaScript, RSS/Feed Parsers.