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iHerb Product Advisor

Pricing

$80.00 / 1,000 product recommendations

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iHerb Product Advisor

iHerb Product Advisor

Recommend iHerb products from a wellness shopping context using OpenRouter + live iHerb listings. Returns ranked products with reasons. Not medical advice.

Pricing

$80.00 / 1,000 product recommendations

Rating

0.0

(0)

Developer

Marco Rodrigues

Marco Rodrigues

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

4 days ago

Last modified

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🌿 iHerb Product Advisor

Want iHerb picks that match a real shopping context β€” not just another product dump? This actor turns a short wellness brief into ranked live iHerb recommendations with reasons.

Describe what you need (budget, form, preferences). The actor finds matching products on iHerb and returns a shortlist. Not medical advice.

πŸ’‘ Perfect for...

  • Shoppers: Turn β€œsinus season, vegan capsules under $30” into concrete product links.
  • Health-tech / apps: Offer grounded iHerb suggestions from user context.
  • πŸ€– AI Agents: One structured input β†’ ranked products with reasons.
  • πŸ”— Workflows: Pipe recommendations into n8n, Make, LangChain, CrewAI, etc.

✨ Why you'll love this scraper

  • 🧠 Context β†’ recommendations: Plain-language need in, ranked products out.
  • πŸ›’ Live iHerb data: Suggestions come from real search / Health Topic listings (not invented SKUs).
  • 🎯 Preferences-aware: Budget, capsules vs gummies, brand likes/dislikes, avoid-lists.
  • ⚠️ Safety framing: Built-in disclaimer; wellness shopping aid only.

πŸ“¦ What's inside the data?

Each run pushes:

  1. run_meta β€” planned queries/topics, counts, disclaimer
  2. recommendation rows β€” ranked products with reasons

Recommendation fields:

  • Rank / fit: rank, match_score, reason, cautions
  • Product: product_id, part_number, name, brand, price_usd, url, in_stock
  • Provenance: source_query, type

πŸš€ Quick start

  1. Write a context (what you need).
  2. Optionally add preferences and set max_items.
  3. Click Start β€” export CSV/JSON when done.

Tech details for developers πŸ§‘β€πŸ’»

How it works

  1. Interprets your context into iHerb search queries + Health Topic categories
  2. Scrapes live listings
  3. Ranks a shortlist from those candidates only (so product IDs stay real)

Inputs

FieldDescription
contextWellness shopping need (required)
preferencesOptional constraints
max_itemsHow many recommendations to return (default 5, max 30)

Input Example:

{
"context": "Seasonal allergy sinus pressure; prefer vegan capsules under $30",
"preferences": "Avoid melatonin; like California Gold Nutrition if possible",
"max_items": 5
}

Output Example (recommendation row):

{
"type": "recommendation",
"rank": 1,
"match_score": 88,
"reason": "Sinus-oriented herbal capsule formula that fits a vegan capsule preference and typical allergy-season shopping intent.",
"cautions": "Not a substitute for medical care if symptoms are severe or persistent.",
"product_id": "49438",
"name": "Redd Remedies, Adult Sinus Supportβ„’, 72 Vegan Capsules",
"brand": "Redd Remedies",
"price_usd": 37.97,
"url": "https://www.iherb.com/pr/redd-remedies-adult-sinus-support-72-vegan-capsules/49438",
"in_stock": true
}

Disclaimer: Supplements are not medicines. This actor does not diagnose, treat, or prescribe. Check labels, allergens, and interactions yourself or with a clinician.