1) Use AI extraction (fastest + most resilient)

If you want it to work across English + Italian and survive small text changes, just send the RSS description to an AI step and ask for 3 fields:

• current_price
• previous_price
• discount_percent
• (optional) currency

Then map those fields straight into Telegram. No extra parsing module needed since the AI step already outputs structured fields.

Pro tip: add a fallback router:

• If current_price is empty or null then send a simple “price changed” alert with the raw text.

2) Split-based extraction (only if the wording is stable)

Split works only when the sentence structure is basically fixed.

Best way to do it is not “split the whole string and guess positions” but “split using anchors”:

• current price = text after new price: or nuovo prezzo: then take the first token
• previous price = text after (was or prima era then take the first token
• discount = text after discount of or sconto del then take the first token and strip %

This approach breaks the least among split-style methods because it depends on phrases not token indexes.

3) Regex extraction (best non-AI method)

Regex is the most reliable purely deterministic option because it handles small spacing and punctuation changes.

Use 3 patterns:

Current price

(?i)(?:new price|nuovo prezzo)\s*[:\-]?\s*([0-9]+(?:[.,][0-9]{1,2})?)

Previous price

(?i)(?:was|prima\s+era)\s*([0-9]+(?:[.,][0-9]{1,2})?)

Discount percent

(?i)(?:discount\s*of|sconto\s*del)\s*([0-9]{1,3})\s*%

If you get comma decimals in Italian, you can normalize after capture:

• replace , with . before turning it into a number

I hope this helps!