We extract product listings, supplement facts, expiration dates, global pricing, and multi-language reviews from iHerb. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Product Listings objects from iherb.com. All fields typed and schema-versioned.
"product_id": "CGN-01093", "title": "California Gold Nutrition, Omega-3 Premium Fish Oil", "brand": "California Gold Nutrition", "price": 7.0, "currency": "USD", "in_stock": true, "expiration_date": "2027-02-01", "rating": 4.8, "review_count": 342190
| # | product_id | upc_code | title | brand | category_hierarchy | price |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Supplement Facts objects from iherb.com. All fields typed and schema-versioned.
"product_id": "CGN-01093", "serving_size": "2 Softgels", "servings_per_container": "50", "ingredient_name": "Total Omega-3s", "amount_per_serving": "640 mg", "daily_value_pct": "None", "other_ingredients": "Fish Gelatin Softgel, Vegetable Glycerin, Purified Water", "allergens": "['Fish (Anchovy, Mackerel, Sardine, Tuna)']"
| # | product_id | serving_size | servings_per_container | ingredient_name | amount_per_serving | daily_value_pct |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Pricing & Offers objects from iherb.com. All fields typed and schema-versioned.
"product_id": "CGN-01093", "country_code": "US", "base_price": 7.0, "trial_price": 3.5, "bulk_discount_qty": 4, "bulk_discount_pct": 5, "shipping_saver_eligible": true, "scraped_at": "2026-05-12T09:14:00Z"
| # | product_id | country_code | base_price | discount_price | trial_price | bulk_discount_qty |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Reviews objects from iherb.com. All fields typed and schema-versioned.
"review_id": "REV-984210", "product_id": "CGN-01093", "rating": 5, "review_date": "2026-04-18", "review_text": "Excellent quality fish oil, no fishy burps.", "helpful_votes": 12, "language": "en", "verified_buyer": true
| # | review_id | product_id | user_name | rating | review_date | review_title |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Categories objects from iherb.com. All fields typed and schema-versioned.
"category_id": "cat-fish-oil", "category_name": "Fish Oil & Omegas", "breadcrumb": "['Supplements', 'Fish Oil & Omegas']", "total_products": 412, "top_brands": "['California Gold Nutrition', 'Now Foods', 'Carlson']", "best_selling_product_id": "CGN-01093", "scraped_at": "2026-05-12T09:15:33Z"
| # | category_id | category_name | breadcrumb | total_products | top_brands | best_selling_product_id |
|---|---|---|---|---|---|---|
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Our iHerb pipeline navigates strict bot protection, dynamic geo-pricing, and complex HTML structures to deliver clean, normalised supplement and cosmetic datasets.
Extract structured ingredient lists, serving sizes, and daily values from complex HTML tables across thousands of SKUs.
Capture accurate pricing, shipping saver eligibility, and stock availability across 180+ countries using targeted geo-proxies.
Extract precise expiration dates and lot numbers displayed on product pages for shelf-life analysis.
Scrape reviews in native languages with translation flags, helpful votes, and verified buyer status.
Track trial pricing, flash sales, and bulk discount tiers to monitor competitive promotional strategies.
Capture precise shipping weight and package dimensions crucial for logistics and shipping cost calculations.
Parse dietary flags, allergen warnings, and certifications (e.g., Vegan, Non-GMO, Gluten-Free) into structured arrays.
Track best-seller rankings within specific health and beauty subcategories to monitor brand performance.
Run continuous pipelines with hash-based diffing. Only ingest records when prices, stock, or formulations change.
Brief in. Clean data out.
Provide iHerb category URLs, brand names, or specific UPCs. We design the extraction schema together.
We configure Scrapy crawlers, geo-targeted proxy rotation, and anti-bot circumvention for iherb.com.
Schema validation, null-rate checks, ingredient parsing accuracy, and geo-pricing verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or via Webhook on agreed cadence.
iHerb employs strict bot protection and dynamically renders content based on IP location. Here is how we ensure reliable data delivery.
iHerb uses advanced CDNs and bot protection that block standard HTTP clients. We utilise residential proxies and TLS fingerprint spoofing to maintain high success rates without triggering CAPTCHAs.
Prices, currency, and stock availability change drastically based on the visitor's IP and session cookies. We manage persistent sessions with country-specific residential IPs to guarantee accurate local data.
Supplement facts tables on iHerb are notoriously inconsistent in their HTML structure. We deploy custom parsing logic with regex fallbacks to normalise ingredients, amounts, and daily values into clean JSON arrays.
iHerb frequently updates its frontend architecture. Our selector strategy uses multiple fallback chains—CSS, XPath, and JSON-LD—to ensure pipeline stability during site updates.
Popular products have tens of thousands of reviews. Our infrastructure handles deep pagination efficiently, capturing historical review data without timing out or hitting rate limits.
Supplement brands monitor iHerb pricing, bulk discounts, and trial offers to adjust their direct-to-consumer pricing strategies.
R&D teams analyse supplement facts and formulations across top-selling products to identify emerging ingredient trends.
Cosmetic and wellness brands audit iHerb listings for MAP violations, unauthorised sellers, and grey-market distribution.
Health tech companies use structured ingredient and review datasets to train recommendation engines and NLP sentiment models.
Analysts track product availability and category rankings across different regions to evaluate international expansion opportunities.
Distributors correlate stock availability flags and expiration date data with category demand to optimise procurement.
"iHerb holds the most comprehensive structured dataset of global supplement facts and ingredient combinations available online."
Extracting data from iHerb requires parsing complex nested HTML tables for supplement facts, managing strict anti-bot measures, and rotating residential proxies to capture accurate localised pricing across 180 countries. We handle the infrastructure so you can query clean data.
Everything supported by our iherb.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy manages high-throughput crawl orchestration and deduplication. Playwright handles dynamic content rendering and bot-challenge resolution when required.
We route requests through country-specific residential proxies to ensure pricing, currency, and stock data accurately reflect local market conditions.
Pipelines run on scalable AWS infrastructure managed by Apache Airflow, ensuring reliable scheduling, dependency management, and strict SLA compliance.
Data delivered to where your team already works — no new tooling required.
About iherb.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from iHerb is generally permissible under applicable laws. DataFlirt targets only public, non-authenticated product, pricing, ingredient, and review data. We do not extract personal user data or circumvent authentication walls.
We use residential ISP proxies, TLS fingerprint spoofing, and realistic request timing to mimic human behaviour, avoiding Cloudflare blocks. Our infrastructure automatically rotates IPs and handles solver queues if challenges arise.
Yes. We configure pipelines to use geo-specific proxies and session cookies, allowing us to extract accurate localised pricing, currency, and stock availability for any region iHerb supports.
Highly accurate. We maintain custom parsers designed specifically for iHerb's varied HTML table structures, converting complex nutritional panels into clean, queryable JSON arrays containing ingredient names, amounts, and daily values.
Yes. We extract the exact expiration date and lot number displayed on the product page, which is critical for inventory and shelf-life analysis.
Yes. We can extract reviews in their native language or capture the translated versions provided by iHerb, along with helpful vote counts and verified buyer flags.
Pipelines can be configured for daily, weekly, or custom cadences. We also support change-detection modes that only deliver data when prices, stock, or formulations update.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off export of supplement facts or a continuous global price-monitoring feed — we scope, build, and operate the pipeline. Tell us what you need.