News and RSS Feed Parser Development

Our company is engaged in the development, support and maintenance of sites of any complexity. From simple one-page sites to large-scale cluster systems built on micro services. Experience of developers is confirmed by certificates from vendors.
8+Years of work900+Completed projects100+In house employees19+Partners
Development and maintenance of all types of websites:
Informational websites or web applications
Business card websites, landing pages, corporate websites, online catalogs, quizzes, promo websites, blogs, news resources, informational portals, forums, aggregators
E-commerce websites or web applications
Online stores, B2B portals, marketplaces, online exchanges, cashback websites, exchanges, dropshipping platforms, product parsers
Business process management web applications
CRM systems, ERP systems, corporate portals, production management systems, information parsers
Electronic service websites or web applications
Classified ads platforms, online schools, online cinemas, website builders, portals for electronic services, video hosting platforms, thematic portals

These are just some of the technical types of websites we work with, and each of them can have its own specific features and functionality, as well as be customized to meet the specific needs and goals of the client.

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News and RSS Feed Parser Development
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from 1 business day to 3 business days
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Development of News and RSS Feed Parser

RSS and Atom are standardized content syndication formats: almost every news resource publishes a feed. Parser task—aggregate materials from multiple sources, normalize structure, clean content, save to database for further processing or display.

How It Works

Parser polls list of RSS/Atom feeds on schedule. For each new item:

  • Extract title, description, full text (if available), date, tags, author
  • Clean HTML from ads and garbage via sanitize-html or bleach
  • Save to database with deduplication by GUID or URL

If source has no RSS—connect HTML parser based on Cheerio or BeautifulSoup with manual CSS selector markup for specific site.

Stack

  • Node.js + rss-parser or Python + feedparser—feed processing
  • Cron / Celery Beat—traversal schedule
  • PostgreSQL—article storage with full-text index tsvector
  • Redis—cache of already processed GUIDs

Implementation time for basic version with 10–20 sources: 3–4 working days.