We extract product listings, variant pricing, tasting notes, brewing instructions, and customer reviews from harney.com. 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 harney.com. All fields typed and schema-versioned.
"sku": "HT-101", "title": "Hot Cinnamon Spice", "tea_type": "Black Tea", "caffeine_level": "40-60 milligrams", "base_price": 10.5, "currency": "USD", "kosher_certified": true
| # | product_id | sku | title | category | tea_type | caffeine_level |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Variants & Pricing objects from harney.com. All fields typed and schema-versioned.
"variant_id": "314159265", "packaging_type": "Classic Tin", "size": "20 Sachets", "price": 10.5, "subscription_price": 9.45, "in_stock": true, "sku": "HT-101-TIN"
| # | variant_id | product_id | packaging_type | size | weight_grams | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Tasting & Brewing objects from harney.com. All fields typed and schema-versioned.
"product_id": "8923471", "aroma": "Strong cinnamon and sweet clove", "body": "Medium", "flavours": "Spicy, sweet, cinnamon, orange", "brew_time_minutes": "5", "brew_temp_fahrenheit": "212", "brew_temp_celsius": "100"
| # | product_id | aroma | body | flavours | brew_time_minutes | brew_temp_fahrenheit |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from harney.com. All fields typed and schema-versioned.
"review_id": "REV-99281", "rating": 5, "author_name": "Sarah M.", "verified_buyer": true, "review_title": "My daily staple", "review_body": "The perfect blend of sweet and spicy without any added sugar.", "created_at": "2026-02-14T08:30:00Z"
| # | review_id | product_id | rating | author_name | verified_buyer | review_title |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Categories objects from harney.com. All fields typed and schema-versioned.
"category_id": "COL-42", "name": "Earl Grey Teas", "slug": "earl-grey-tea", "parent_category": "Black Tea", "product_count": 24, "url": "https://www.harney.com/collections/earl-grey-tea", "scraped_at": "2026-05-12T10:00:00Z"
| # | category_id | name | slug | parent_category | description | product_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our harney.com scraper handles the complexities of modern headless commerce storefronts, parsing nested variant structures, subscription pricing logic, and detailed product metadata.
Extract all active listings across loose leaf teas, sachets, teaware, and gifts. Captures every metadata field exposed on the product page.
Map parent products to all child variants including tin sizes, bulk bags, and sample pouches with accurate SKU and barcode data.
Structure unstructured text into discrete aroma, body, liquor colour, and flavour profile fields for quantitative analysis.
Normalise brewing temperatures across Fahrenheit and Celsius, alongside steeping times and water volume recommendations.
Extract full review text, star ratings, and verified buyer flags paginated across all customer feedback.
Capture one-time purchase prices alongside Subscribe & Save discount tiers for every valid variant.
Monitor out-of-stock statuses at the variant level to track supply chain constraints and product popularity.
Extract complete ingredient lists, caffeine levels, kosher certifications, and fair trade designations.
Run one-off bulk exports or configure continuous pipelines at daily or weekly cadences with change-detection diffing.
Brief in. Clean data out.
Provide target collection URLs or specify a full-site crawl. We design the extraction schema together.
We configure Scrapy crawlers, session management, and parsing logic specific to harney.com's frontend architecture.
Schema validation, null-rate checks, and variant price-outlier detection before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting structured data from dynamic storefronts requires handling state hydration and API rate limits. Here is how we ensure reliable delivery.
Modern commerce platforms often load variant pricing and inventory data via internal APIs or inline JSON state. We parse this underlying state directly rather than scraping the DOM, ensuring 100% accuracy for out-of-stock variants and subscription pricing.
Deep category pages often truncate results or use infinite scroll. Our crawlers interact with the underlying pagination APIs to ensure complete catalogue coverage without missing edge-case SKUs.
We route requests through US-based residential proxies with realistic TLS fingerprints to prevent IP bans and ensure uninterrupted data extraction during bulk collection runs.
We maintain a hash index of last-seen values per field. Subsequent runs only push diffs. This reduces compute cost and downstream processing load for your engineering teams.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, schema drift, and coverage drops. SLA uptime is contractual.
Specialty tea retailers monitor Harney & Sons pricing strategies across variant sizes to optimise their own margins.
F&B analysts track new product launches, seasonal blends, and discontinued lines to identify consumer trends.
R&D teams extract tasting notes and ingredient combinations to inform new product development.
Supply chain analysts monitor out-of-stock variants to identify supply constraints in specific tea origins.
Marketing teams mine review corpora to understand consumer preferences regarding flavour profiles and packaging.
Wholesale distributors track retail pricing to ensure compliance with minimum advertised price agreements.
"Harney & Sons represents one of the most detailed structured datasets for premium teas, but extracting the variant-level pricing and tasting notes requires a dedicated pipeline."
Extracting e-commerce data from modern storefronts like harney.com requires handling dynamic variant hydration and rate limits. DataFlirt manages the underlying extraction infrastructure, outputting clean, normalised tea catalogues directly to your data warehouse so your analysts can focus on market intelligence.
Everything supported by our harney.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 handles crawl orchestration and deduplication. Playwright handles JavaScript rendering and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About harney.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible under applicable law. DataFlirt targets only public, non-authenticated product, pricing, and review data. We do not extract personal data or circumvent authentication walls.
We extract the underlying JSON state data to capture all variant combinations, including base prices, compare-at prices, and subscription discounts, mapped accurately to their respective SKUs.
Full catalogue refreshes at daily or weekly cadences complete within a few hours. Historical snapshots are available from the day your pipeline is commissioned.
Yes. We extract the full review corpus, including star ratings, author names, verified buyer flags, and helpful votes, paginated across all product pages.
Our packages start at defined collection lists with weekly delivery. For full-site catalogues or custom schema requirements, we price based on volume and delivery frequency.
Yes. We provide a sample run of up to 50 products as part of the pre-engagement scoping process so you can validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or a continuous price-monitoring feed. We scope, build, and operate the pipeline. Tell us what you need.
