We extract craft spirit listings, pricing signals, tasting notes, distillery intelligence, and availability from Caskers. 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 caskers.com. All fields typed and schema-versioned.
"sku": "CSK-WHI-8492", "title": "Blanton's Original Single Barrel Bourbon", "brand": "Blanton's", "spirit_type": "Bourbon", "price": 149.99, "abv": 46.5, "volume": "750ml", "availability": "In Stock"
| # | sku | title | brand | spirit_type | price | abv |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Tasting Notes objects from caskers.com. All fields typed and schema-versioned.
"sku": "CSK-WHI-8492", "nose": "Nutmeg and spices", "palate": "Vanilla, honey, and caramel", "finish": "Long, smooth, and warm", "awards": "['Gold Medal - San Francisco World Spirits Competition 2021']", "cask_type": "American White Oak", "age_statement": "NAS"
| # | sku | nose | palate | finish | description | awards |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Distillery Info objects from caskers.com. All fields typed and schema-versioned.
"distillery_name": "Buffalo Trace Distillery", "location": "Frankfort, Kentucky", "region": "USA", "founded_year": 1792, "master_distiller": "Harlen Wheatley", "total_products": 24, "avg_rating": 4.8
| # | distillery_name | location | region | founded_year | master_distiller | brand_story |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Pricing & Inventory objects from caskers.com. All fields typed and schema-versioned.
"sku": "CSK-WHI-8492", "current_price": 149.99, "original_price": 169.99, "discount_pct": 11, "stock_status": "Low Stock", "shipping_restrictions": "['UT', 'AL', 'MI']", "last_checked": "2026-08-14T10:00:00Z", "currency": "USD"
| # | sku | current_price | original_price | discount_pct | stock_status | shipping_restrictions |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Reviews objects from caskers.com. All fields typed and schema-versioned.
"review_id": "REV-98342", "sku": "CSK-WHI-8492", "reviewer_name": "John D.", "star_rating": 5, "review_text": "Classic bourbon. Always a staple on my bar cart.", "date_posted": "2026-07-22", "verified_buyer": true, "helpful_votes": 14
| # | review_id | sku | reviewer_name | star_rating | review_text | date_posted |
|---|---|---|---|---|---|---|
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Our Caskers scraper handles age verification gates, dynamic inventory loading, and complex product variants to deliver clean, structured spirit data.
Title, spirit type, ABV, volume, brand, and category metadata scraped at the SKU level.
Structured extraction of nose, palate, and finish profiles from unstructured product descriptions.
Capture current price, original price, and discount percentages timestamped per crawl.
Extract distillery location, history, master distiller names, and brand stories.
Track in-stock, out-of-stock, and limited release flags across the entire catalogue.
Capture competition medals, critic scores, and special recognitions listed on product pages.
Extract state-level availability constraints and shipping restrictions for alcohol delivery.
Full review text, star ratings, helpful vote counts, and verified buyer flags.
Run one-off bulk exports or configure continuous pipelines at daily or weekly cadences.
Brief in. Clean data out.
Provide target categories, brands, or specific SKUs. We design the extraction schema together.
We configure Scrapy crawlers, age-gate cookie injection, and session management for caskers.com.
Schema validation, null-rate checks, and ABV format normalisation before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage.
Scraping alcohol retailers requires bypassing age gates, handling regional variations, and standardising messy product specs.
Alcohol retailers block access without age verification. Our crawlers automatically inject the necessary session cookies and headers to bypass 21+ gates instantly.
Alcohol shipping laws dictate availability. We simulate sessions from specific US zip codes to capture accurate regional pricing and stock status.
Caskers product titles and descriptions contain mixed formats for ABV and volume. We use targeted regex to normalise these into clean decimal and string fields.
We maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Every run emits structured logs. We alert on null-rate spikes, missing pricing, and schema drift, responding before you notice.
Liquor retailers and Drizly competitors monitor Caskers pricing and discount strategies to adjust their own margins.
Beverage brands track category volume to identify shifts in consumer demand, such as the rise of premium agave spirits.
Distilleries monitor user reviews and star ratings across their product lines to gauge consumer sentiment.
Analysts track stockout frequencies on limited-release bourbons to model supply constraints and secondary market value.
Delivery apps scrape tasting notes, ABV, and awards to enrich their own bare-bones product listings.
Alternative asset investors track pricing trends on rare casks and limited editions to evaluate portfolio value.
"Caskers holds a highly curated catalogue of craft spirits, but standardising tasting notes and regional availability requires purpose-built extraction pipelines."
Most teams underestimate the complexity of alcohol retail scraping: handling persistent age-gate cookies, normalising ABV and volume formats, and tracking state-by-state shipping restrictions. DataFlirt absorbs that complexity so your engineers can focus on the analysis.
Everything supported by our caskers.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 retry logic. Playwright handles cookie sessions, age-gate bypasses, and interaction flows.
We maintain pools of residential US proxies. Rotation happens per-request to prevent IP bans from retail bot-protection.
Pipelines run on AWS Lambda. Airflow handles scheduling and SLA alerting. All state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About caskers.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Caskers 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.
Our crawlers automatically inject the necessary session cookies and headers to bypass the age gate instantly, allowing uninterrupted access to the product catalogue.
Full catalogue refreshes at daily cadence complete within a 2-4 hour window. We can configure pipelines to run daily, weekly, or at custom intervals based on your needs.
Yes. We use targeted parsing to split unstructured tasting descriptions into distinct nose, palate, and finish fields for easier database querying.
Yes. We extract the shipping eligibility data listed on product pages, detailing which US states the item can or cannot be delivered to.
We deliver data in JSON, CSV, and Parquet formats directly to your AWS S3 bucket, Google Cloud Storage, BigQuery, or Snowflake instances.
Absolutely. We provide a sample run of up to 200 SKUs 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 across craft spirits - we scope, build, and operate the pipeline. Tell us what you need.
