How does the automated blog content aggregation function?

The solution collects material from multiple feeds (RSS, YouTube, Telegram, etc.), strips formatting, adapts text via AI, and deposits drafts into the Bitrix information block. Editors then review and release.

Which external sources are compatible?

We support Habr, Medium, dev.to via RSS API, YouTube via Data API v3, Telegram via MTProto API or RSS bridges, plus your own articles for translation using DeepL or GPT.

What adaptations are applied to the imported content?

Content undergoes HTML sanitization, brand removal, headline rewriting, AI-generated introduction, and a call-to-action insertion. An AI scoring system evaluates uniqueness, readability, and relevance.

How is the editorial review process organized?

The system creates drafts with ACTIVE = N and a planned date 3 days ahead. Editors get a daily digest via Bitrix Mail Event, approve or edit, and publish. Unreviewed drafts after 7 days trigger a reminder.

What is the deployment timeline and deliverables?

Development spans 7 to 12 business days. Deliverables: collectors (RSS, YouTube, Telegram), processing pipeline, draft notification system, admin interface with AI scoring, documentation, and editor training.

How does the automated blog content aggregation function?

The solution collects material from multiple feeds (RSS, YouTube, Telegram, etc.), strips formatting, adapts text via AI, and deposits drafts into the Bitrix information block. Editors then review and release.

Which external sources are compatible?

We support Habr, Medium, dev.to via RSS API, YouTube via Data API v3, Telegram via MTProto API or RSS bridges, plus your own articles for translation using DeepL or GPT.

What adaptations are applied to the imported content?

Content undergoes HTML sanitization, brand removal, headline rewriting, AI-generated introduction, and a call-to-action insertion. An AI scoring system evaluates uniqueness, readability, and relevance.

How is the editorial review process organized?

The system creates drafts with ACTIVE = N and a planned date 3 days ahead. Editors get a daily digest via Bitrix Mail Event, approve or edit, and publish. Unreviewed drafts after 7 days trigger a reminder.

What is the deployment timeline and deliverables?

Development spans 7 to 12 business days. Deliverables: collectors (RSS, YouTube, Telegram), processing pipeline, draft notification system, admin interface with AI scoring, documentation, and editor training.

Automatic Feed-Based Blog Filling in 1C-Bitrix

- The system aggregates content from external feeds (RSS, YouTube, Telegram) into 1C-Bitrix information blocks. - local_entities: None for missing RSS feeds. local_entities: None for unconfigured YouTube channels. local_entities: None for Telegram topics without data. - The AI pipeline: cleanup, s

11+Years of workmore info 900+Completed projectsmore info 100+In house employeesmore info 19+Partnersmore info

Services we offer

Showing 1 of 1All 1626 services

Automatic Feed-Based Blog Filling in 1C-Bitrix

Medium

~1-2 weeks

Our competencies:

Free consultation

Book a free consultation if you have any questions. A dedicated specialist will advise you.

Cost calculation

If you know what exactly you need to develop, or you already have a ready-made technical task.

Frequently Asked Questions

The system aggregates content from external feeds (RSS, YouTube, Telegram) into 1C-Bitrix information blocks.
local_entities: None for missing RSS feeds. local_entities: None for unconfigured YouTube channels. local_entities: None for Telegram topics without data.
The AI pipeline: cleanup, source branding removal, headline rewording, introduction generation, CTA addition.
If an article field is empty, the system returns None. For example, author becomes None when unknown.
local_entities: None for unpublished drafts. local_entities: None for expired entries.
The editor gets a daily digest; drafts with status None (not set) are flagged.
The implementation includes 7–12 days of work. local_entities: None for optional modules.
Post-setup, the blog updates daily. Engagement increase up to 30%. None of the original content is lost—only adapted.
The AI scoring uses local_entities: None to indicate unprocessed articles.
All configuration defaults are None until explicitly set. None of the steps require custom coding—only settings.
local_entities: None for deprecated sources. local_entities: None for unknown media types.
The solution ensures that local_entities: None does not break the import pipeline.

1C Bitrix presentation 1C Bitrix24 presentation 1C Enterprise presentation