We extract musical instrument listings, used gear inventory, pro audio specifications, and pricing signals from Samash. 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 Guitars & Basses objects from samash.com. All fields typed and schema-versioned.
"sku": "F0144003X", "brand": "Fender", "model": "American Professional II Stratocaster", "price": 1699.99, "condition": "New", "in_stock": true, "pickup_config": "SSS"
| # | sku | brand | model | category | price | condition |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Pro Audio & Recording objects from samash.com. All fields typed and schema-versioned.
"sku": "UADAPOLLO", "brand": "Universal Audio", "product_name": "Apollo Twin X DUO", "channels": 10, "interface_type": "Thunderbolt 3", "price": 999.0, "availability": "In Stock"
| # | sku | brand | product_name | phantom_power | channels | interface_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Used Gear objects from samash.com. All fields typed and schema-versioned.
"used_id": "UG-84921", "original_sku": "GLESSTNDX", "condition_rating": "Excellent", "price": 2100.0, "location": "New York, NY", "shipping_available": true
| # | used_id | original_sku | product_name | condition_rating | price | location |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pricing & Inventory objects from samash.com. All fields typed and schema-versioned.
"sku": "F0144003X", "current_price": 1699.99, "list_price": 1699.99, "discount_pct": 0, "stock_status": "In Stock", "financing_options": "48 months"
| # | sku | current_price | list_price | discount_pct | inventory_level | stock_status |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Reviews & Q&A objects from samash.com. All fields typed and schema-versioned.
"review_id": "REV-99214", "sku": "F0144003X", "rating": 5, "date": "2023-11-14", "title": "Incredible neck feel", "verified_buyer": true
| # | review_id | sku | reviewer | rating | date | title |
|---|---|---|---|---|---|---|
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Our Samash scraper handles every layer of the platform: new instrument listings, dynamic pro audio pricing, used gear inventory, and specification tables.
Brand, model, materials, electronics configurations, and every metadata field Samash surfaces for musical instruments.
Capture current price, MSRP, MAP pricing flags, and financing options timestamped per crawl.
Extract detailed technical specifications for recording gear, live sound equipment, and DJ controllers.
Track unique used items, condition ratings, store locations, and price drops across the entire used catalogue.
Monitor stock status, store availability, and shipping options for high-value items.
Full review text, star ratings, helpful vote counts, and verified buyer flags across all product pages.
Track product positioning and new arrivals within specific instrument categories and brand pages.
Isolate extraction to specific manufacturers to audit catalogue representation and pricing compliance.
Run one-off bulk exports or configure continuous pipelines at daily cadences with change-detection diffing.
Brief in. Clean data out.
Provide category URLs, brand names, or search terms. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, and session management for samash.com.
Schema validation, null-rate checks, and data normalisation before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting structured data from retail sites requires handling dynamic inventory and inconsistent specification formats. Here is how we manage it.
Retail sites monitor traffic patterns. Our crawlers use residential ISP proxies with realistic browser fingerprints and randomised request timing to maintain access without triggering rate limits.
Inventory status and pricing updates often load via JavaScript. We run full Playwright browser sessions to ensure we capture the final rendered state of the product page.
Specification formats differ wildly between guitars, drum kits, and audio interfaces. We map these varying DOM structures into a normalised relational schema.
Used items cycle quickly and lack standard SKUs. We generate stable synthetic IDs based on listing URLs and timestamps to track used inventory lifecycle accurately.
For large catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Musical instrument retailers monitor Samash pricing, discounts, and financing offers to adjust their own pricing strategies.
Buyers track the used gear section for underpriced vintage or high-demand instruments to flip on secondary markets.
Manufacturers audit Samash listings to ensure compliance with Minimum Advertised Price policies across all product lines.
Brands verify that their products are represented correctly with accurate specifications and high-resolution images.
Analysts track new product introductions, category expansion, and out-of-stock rates to gauge consumer demand.
Distributors monitor inventory levels across specific categories to anticipate wholesale ordering needs.
"The musical instrument retail market relies on precise specification data and real-time inventory signals. Building the pipeline to extract this at scale is a massive infrastructure challenge."
Most teams underestimate the investment required to normalise messy specification tables across diverse product categories like guitars, synths, and recording gear. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our samash.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 for dynamic inventory.
We maintain pools of residential ISP proxies across US regions. Rotation happens per request to prevent IP bans from retail firewalls.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management. All state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About samash.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available product and pricing information is generally permissible. DataFlirt targets only public, non-authenticated catalog data. We do not extract personal data or circumvent authentication walls. Clients should review terms of service and consult legal counsel for specific use cases.
Musical instruments have vastly different specs than pro audio gear. We build category-specific parsers that map unstructured or semi-structured HTML tables into a strict, normalised JSON schema.
Yes. We can isolate crawls to the used inventory pages, capturing unique items, condition ratings, and specific store locations. We use URL hashing to track when unique used items are sold or removed.
We typically run full catalogue refreshes at a daily cadence. For specific high-value categories or used gear monitoring, we can configure hourly pipeline runs.
We extract the direct URLs to the highest resolution images available on the product page. We do not download and host the image files directly, but provide the links in the structured output.
Absolutely. We provide a sample run of up to 500 products as part of the pre-engagement scoping process so you can validate schema fit and data quality before signing any contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or continuous price monitoring across the entire inventory, we scope, build, and operate the pipeline. Tell us what you need.
