We extract product specs, pricing, inventory depth, and brand catalogues from Full Compass. 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 Specs objects from fullcompass.com. All fields typed and schema-versioned.
"sku": "SHU-SM58-LC", "mfr_part_number": "SM58-LC", "title": "Shure SM58 Dynamic Vocal Microphone", "brand": "Shure", "category_path": "Pro Audio > Microphones > Dynamic Microphones", "weight_lbs": 0.66, "technical_specs": "Polar Pattern: Cardioid, Frequency Response: 50Hz to 15kHz", "included_items": "Microphone clip, storage bag"
| # | sku | mfr_part_number | title | brand | category_path | description |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pricing & Inventory objects from fullcompass.com. All fields typed and schema-versioned.
"sku": "SHU-SM58-LC", "price": 99.0, "list_price": 125.0, "map_price": 99.0, "currency": "USD", "stock_status": "In Stock", "free_shipping_eligible": true
| # | sku | price | list_price | map_price | currency | stock_status |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Used & Clearance objects from fullcompass.com. All fields typed and schema-versioned.
"listing_id": "U-SHU-SM58-LC-1", "parent_sku": "SHU-SM58-LC", "condition": "Open Box", "condition_notes": "Customer return, minor box damage, unit pristine.", "price": 84.15, "original_price": 99.0, "discount_pct": 15
| # | listing_id | parent_sku | condition | condition_notes | price | original_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Accessories & Bundles objects from fullcompass.com. All fields typed and schema-versioned.
"parent_sku": "SHU-SM58-LC", "bundle_sku": "BNDL-SM58-STAND", "bundle_title": "Shure SM58 Mic with Boom Stand and Cable", "bundle_price": 129.99, "individual_total_price": 149.99, "savings_amount": 20.0
| # | parent_sku | bundle_sku | bundle_title | included_skus | bundle_price | individual_total_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Brand Catalogues objects from fullcompass.com. All fields typed and schema-versioned.
"brand_name": "Yamaha", "brand_url": "https://www.fullcompass.com/brand/yam-yamaha/", "total_active_skus": 1245, "categories_covered": "['Digital Consoles', 'Studio Monitors', 'PA Systems']", "average_price": 1450.5, "scraped_at": "2026-05-12T10:15:00Z"
| # | brand_name | brand_url | total_active_skus | categories_covered | top_selling_skus | new_arrivals |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Full Compass scraper handles every layer of the catalogue: deep category navigation, complex specification tables, dynamic pricing, and inventory tracking.
Extract deep technical specs, I/O counts, frequency response, and power ratings normalised across different equipment types.
Capture Minimum Advertised Price restrictions versus actual cart prices and list prices across the entire catalogue.
Track availability, backorder dates, warehouse stock levels, and estimated shipping windows.
Monitor B-stock, refurbished, and clearance items with specific condition notes and discounted pricing.
Extract complete brand lineups from manufacturers like Shure, Sennheiser, and Yamaha with full SKU lists.
Map parent products to compatible accessories, replacement parts, and pre-packaged bundles.
Scrape service parts, power supplies, and component SKUs linked to primary equipment.
Preserve deep taxonomy from top-level Pro Audio categories down to specific microphone or cable types.
Run one-off bulk exports or configure continuous pipelines at daily cadences with change detection diffing.
Brief in. Clean data out.
Provide SKU lists, brand URLs, or category sets. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for fullcompass.com.
Schema validation, null-rate checks, and specification table normalisation before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Scraping deep retail catalogues requires handling varied DOM structures and dynamic elements. Here is how we stay resilient.
Many high-end AV brands enforce MAP policies requiring users to add items to their cart to see the final price. Our Playwright integration automates these session interactions to extract the true retail price without manual intervention.
A digital mixing console has entirely different specifications than a lighting fixture. We map unstructured HTML tables into clean, typed JSON key-value pairs, ensuring your database remains structured regardless of product category.
Full Compass features thousands of sub-categories. Our crawlers systematically traverse the category tree, handling AJAX pagination and infinite scroll to ensure zero missed SKUs during a full catalogue sync.
For large equipment catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing compute cost and downstream processing load. You get a clean changelog rather than full re-dumps.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, price outliers, schema drift, and coverage drops, responding before you notice. SLA uptime is contractual.
AV retailers monitor competitor pricing on high-ticket gear to adjust their own pricing strategies and protect margins.
Manufacturers audit dealer pricing across the Full Compass catalogue to detect MAP violations and enforce pricing policies.
Supply chain teams track backorder dates and stock levels across major distributors to anticipate component shortages.
B2B AV integrators enrich their internal quoting software with comprehensive manufacturer specs and current retail pricing.
Resellers track depreciation and resale value of pro audio equipment by monitoring open-box and clearance pricing trends.
Live event production companies automate equipment sourcing by tracking live component prices and availability.
"Pro audio and broadcast video integration requires exact technical specifications and live inventory data. Full Compass holds the catalogue, but you need a pipeline to query it."
Most teams underestimate the investment required: reliable AV equipment scraping requires deep taxonomy navigation, handling dynamic pricing elements, normalising complex specification tables, and monitoring anomalies. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our fullcompass.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, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows required for dynamic pricing.
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 Kubernetes. 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 fullcompass.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available pricing, specifications, and inventory data is generally permissible. DataFlirt targets only public, non-authenticated catalogue data. We do not extract personal data or circumvent authentication walls.
Our infrastructure uses Playwright to simulate browser sessions. We automate the add-to-cart flow to extract the final retail price, then clear the session, ensuring accurate price capture for restricted items.
Yes. We parse the detailed specification tabs for each product, normalising unstructured HTML tables into clean JSON objects so you can query by frequency response, input type, or power rating.
We can configure pipelines to run at your required cadence. High-priority SKUs can be tracked hourly, while full catalogue refreshes typically run on a daily or weekly schedule.
Our smallest packages start at a defined SKU list or specific brand catalogues with weekly delivery. For full-site extraction, we price based on volume and delivery frequency.
Absolutely. We provide a sample run of up to 500 SKUs as part of the pre-engagement scoping process so you can validate schema fit and specification normalisation.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off brand catalogue dump or a continuous price monitoring feed across 100K SKUs, we scope, build, and operate the pipeline. Tell us what you need.
