🎉 Special Offer: Get 25% OFF on Aimogen Yearly Plan
wpbay-aimogen-25off 📋
Use Coupon Now
View Categories

RSS Scraping & Transformation

4 min read

RSS scraping in Aimogen is not a separate content engine and not a simplified shortcut. It is a data source that plugs directly into existing AI workflows, most commonly through the Bulk AI Post Creator or OmniBlocks execution streams. The RSS feed replaces keywords or manual input — everything else works the same.

This design is intentional.


What RSS Scraping Means in Aimogen #

RSS scraping means:

  • reading items from an RSS or Atom feed
  • extracting structured feed data
  • passing each item into an AI workflow

It does not introduce:

  • separate RSS-only settings
  • a different generation engine
  • special AI logic

An RSS feed is simply another structured input source.


No Separate RSS Settings #

There is no dedicated RSS configuration panel with unique behavior.

Instead:

  • the Bulk AI Post Creator is used
  • the keyword field is replaced with an RSS feed URL
  • each feed item becomes one execution unit

This keeps the system consistent and predictable.


What Data Is Extracted From RSS #

For each feed item, Aimogen can extract:

  • title
  • description or summary
  • full content (if available)
  • publication date
  • author (if provided)
  • source URL

Not all feeds expose the same fields. Available data depends entirely on the feed itself.


One Feed Item = One Execution Cycle #

RSS-based workflows follow a strict rule:

One RSS item equals one generation run.

That means:

  • one item → one AI execution
  • one item → one post (unless configured otherwise)
  • no merging unless you explicitly design it

This makes RSS processing deterministic and scalable.


RSS as Input, Not Content Theft #

RSS data is treated as raw input, not as publish-ready content.

Typical usage patterns include:

  • rewriting articles
  • summarizing news
  • expanding short items into full posts
  • transforming feed content into a different format
  • combining RSS with additional AI enrichment

Direct republishing without transformation is discouraged and legally risky.


RSS + Bulk AI Post Creator #

The most common setup is:

  • open Bulk AI Post Creator
  • select RSS feed mode
  • enter RSS feed URL instead of keywords
  • configure post template and AI instructions
  • run generation

Everything else (post status, categories, images, tags, scheduling) behaves exactly like keyword-based bulk generation.


RSS + OmniBlocks (Advanced) #

For advanced workflows, RSS is often combined with OmniBlocks.

Typical pattern:

  • RSS block fetches feed items
  • parsing block cleans and normalizes content
  • AI block rewrites or summarizes
  • additional AI blocks enrich content
  • output block prepares final post content

This allows:

  • multi-step transformation
  • structured enrichment
  • reuse of RSS data in multiple AI steps

RSS becomes just another block in the execution stream.


Transformation Comes After Scraping #

RSS scraping itself:

  • does not clean text
  • does not rewrite content
  • does not remove boilerplate
  • does not optimize SEO

Transformation always happens after scraping, via:

  • parsing blocks
  • AI rewrite blocks
  • summarization steps
  • formatting logic

This separation is deliberate.


Handling Feed Noise and Variability #

RSS feeds vary wildly in quality.

Common issues:

  • truncated content
  • HTML fragments
  • duplicated summaries
  • missing fields
  • inconsistent formatting

Well-designed workflows:

  • normalize content before AI
  • strip unwanted markup
  • ignore empty or duplicate items
  • validate inputs before generation

Never assume feed quality.


Scheduling and Automation #

RSS-based generation can be:

  • run manually
  • scheduled
  • executed periodically

Each run:

  • checks for new items
  • processes eligible entries
  • avoids reprocessing already handled items (depending on configuration)

RSS is ideal for ongoing content pipelines.


Performance and Cost Considerations #

RSS scraping:

  • is lightweight
  • is fast
  • adds minimal overhead

AI transformation:

  • is the cost driver
  • depends on content size
  • benefits from clean, minimal input

Always clean RSS content before passing it to AI to reduce token usage.


What RSS Scraping Does Not Do #

RSS scraping does not:

  • crawl linked pages automatically
  • fetch full articles unless included in the feed
  • bypass feed restrictions
  • guarantee uniqueness
  • solve copyright issues
  • decide transformation strategy

It only supplies structured feed data.


Legal and Ethical Responsibility #

You are responsible for:

  • respecting feed usage terms
  • complying with copyright law
  • transforming content meaningfully
  • attributing sources if required

Aimogen provides the tooling, not legal clearance.


Best Practices #

Use RSS as a trigger, not a crutch. Always transform content, normalize aggressively, validate feed quality, and design workflows that add real value. Treat RSS feeds as raw signals feeding structured AI pipelines, not as publish-ready material.


Summary #

RSS Scraping & Transformation in Aimogen treats RSS feeds as structured input sources, not special content generators. RSS items are processed through existing bulk or OmniBlocks workflows, where transformation happens after scraping via parsing and AI steps. There are no separate RSS-only settings — just a clean, consistent pipeline that scales from simple rewriting to advanced multi-step content automation.

Powered by BetterDocs

Leave a Reply

Your email address will not be published. Required fields are marked *

Scroll to Top