We extract product listings, bulk pricing matrices, precise nutritional panels, allergen warnings, and customer reviews from Nuts.com. Delivered as clean JSON, CSV, or Parquet to S3 or BigQuery 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 nuts.com. All fields typed and schema-versioned.
"sku": "ALM-101", "title": "Raw Almonds", "category": "Nuts", "sub_category": "Almonds", "price_retail": 9.99, "price_bulk": 8.49, "unit_weight": "1 lb", "stock_status": "In Stock", "dietary_flags": "['Gluten-Free', 'Vegan', 'Kosher']", "rating_avg": 4.8
| # | sku | title | category | sub_category | price_retail | price_bulk |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing Tiers objects from nuts.com. All fields typed and schema-versioned.
"sku": "ALM-101", "tier_name": "Case (25 lbs)", "weight_lbs": 25.0, "price_per_lb": 7.99, "total_price": 199.75, "discount_pct": 20, "currency": "USD", "scraped_at": "2026-05-12T09:14:00Z"
| # | sku | tier_name | weight_lbs | price_per_lb | total_price | discount_pct |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Nutritional Panels objects from nuts.com. All fields typed and schema-versioned.
"sku": "ALM-101", "serving_size": "1/4 cup (35g)", "calories": 200, "total_fat_g": 18.0, "sodium_mg": 0.0, "total_carbohydrate_g": 7.0, "protein_g": 7.0
| # | sku | serving_size | servings_per_container | calories | total_fat_g | saturated_fat_g |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Ingredients & Allergens objects from nuts.com. All fields typed and schema-versioned.
"sku": "ALM-101", "ingredient_list": "Almonds.", "allergen_warnings": "['Contains Tree Nuts (Almonds)']", "facility_warnings": "Packaged in the same facility as peanuts, tree nuts, wheat, soy, and milk products.", "certified_organic": false, "certified_kosher": true, "kosher_type": "Pareve", "non_gmo": true
| # | sku | ingredient_list | allergen_warnings | facility_warnings | certified_organic | certified_kosher |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Reviews objects from nuts.com. All fields typed and schema-versioned.
"review_id": "REV-99281", "sku": "ALM-101", "rating": 5, "author": "Sarah J.", "date_posted": "2026-04-18", "review_title": "Fresh and crunchy", "review_body": "These almonds are incredibly fresh. Perfect for making homemade almond milk.", "verified_buyer": true
| # | review_id | sku | author | rating | date_posted | review_title |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our infrastructure navigates Nuts.com category trees, extracts complex bulk pricing matrices, and parses structured nutritional panels with high fidelity.
Crawl all categories: nuts, dried fruit, chocolates, snacks, coffee, and baking supplies. Capture every SKU and variant.
Extract retail pricing, 1lb bags, 5lb bags, and 25lb case pricing tiers. Calculate accurate price-per-pound metrics.
Transform HTML nutrition facts into structured JSON. Capture macro and micronutrients, serving sizes, and calorie counts.
Extract raw ingredient text, explicit allergen warnings, and shared-facility disclosures critical for dietary databases.
Map Organic, Kosher, Gluten-Free, Vegan, and Non-GMO badges to boolean fields per SKU.
Paginate through product reviews to capture ratings, text, dates, and helpful votes for sentiment analysis.
Monitor out-of-stock indicators and backorder statuses across all weight variants.
Extract high-resolution product image URLs, packaging shots, and nutritional label images.
Run scheduled pipelines that only push records when prices, stock, or nutritional formulations change.
Brief in. Clean data out.
Provide target categories, specific dietary filters, or full-site requirements. We map the extraction schema.
We configure Scrapy crawlers, handle dynamic pricing elements via Playwright, and set up proxy rotation.
Schema validation, unit-conversion checks for weight/pricing, and null-rate monitoring before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or delivered via Webhook.
Extracting food data requires strict schema adherence. Missing an allergen flag or misparsing a bulk pricing tier degrades the dataset immediately.
Nutritional data formats can vary between older and newer product listings. Our pipeline uses custom parsers to normalise serving sizes, macros, and micros into a consistent, queryable schema regardless of the source HTML structure.
Nuts.com alters pricing dynamically based on selected weight variants (e.g., 1lb vs 25lb case). We execute JavaScript to trigger variant changes and capture the exact price, discount, and SKU associated with each tier.
Products often exist in multiple categories (e.g., 'Snacks' and 'Gluten-Free'). We extract full breadcrumb trails and map products to their primary and secondary category IDs to maintain catalogue hierarchy.
To prevent IP bans during high-volume catalogue crawls, we route requests through US-based residential proxies with realistic TLS fingerprints and randomized request delays.
Allergen and certification data must be exact. Our pipeline enforces strict boolean typing for Kosher, Organic, and Gluten-Free badges, dropping or flagging records that fail validation.
Wholesale food distributors and specialty snack brands track bulk pricing tiers to optimise their own pricing strategies.
Health apps and fitness platforms ingest macro and micronutrient profiles to populate their food logging systems.
F&B analysts monitor category expansion, new product launches, and review volume to identify trending snack categories.
Track the proliferation of specific dietary tags (e.g., Keto, Paleo, Vegan) across product lines over time.
Train food classification models and recommendation engines using structured ingredient lists and product taxonomies.
Correlate out-of-stock indicators on bulk commodities (e.g., raw cashews) with global supply chain events.
"Nuts.com holds a highly structured catalogue of bulk commodities, specialty snacks, and precise nutritional profiles — critical data for food-tech platforms, but inaccessible without a dedicated extraction pipeline."
Scraping dietary data requires strict schema adherence. Missing an allergen flag or misparsing a bulk pricing tier degrades the dataset immediately. DataFlirt builds resilient pipelines that parse complex nutritional tables and dynamic pricing logic, delivering normalised records directly to your data warehouse.
Everything supported by our nuts.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 renders JavaScript to expose dynamic pricing tiers and nutritional modals.
Pools of US-based residential IPs ensure high-volume catalogue crawls complete without triggering rate limits or bot blocks.
Airflow schedules daily or weekly extraction runs on ECS. Schemas are validated in-flight before delivery to your warehouse.
Data delivered to where your team already works — no new tooling required.
About nuts.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available product information, nutritional facts, and pricing is generally permissible. DataFlirt targets only public, non-authenticated data. We do not bypass login walls to extract proprietary wholesale pricing or personal account data. Clients should review terms of service and consult legal counsel.
Yes. We parse the HTML structure of the nutritional panels to extract exact values for calories, macros, and micros. We also extract ingredient lists and explicit allergen warnings.
Our pipeline iterates through all available weight variants (e.g., 1lb, 5lb, 25lb case) on a product page, capturing the specific price, discount percentage, and stock status for each tier.
Pipelines can be configured for daily, weekly, or monthly cadences. For specific high-priority SKUs, intra-day tracking for stock status changes is available.
Yes. We map visual badges and text indicators for certifications like Certified Organic, Kosher, Gluten-Free, and Non-GMO into structured boolean fields.
Yes. We provide a sample extraction of up to 100 SKUs during the scoping phase so your data engineering team can validate the schema and typing before deployment.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue extraction or continuous bulk price monitoring — we scope, build, and operate the pipeline. Tell us what you need.
