We extract gym equipment specifications, dealer inventory, pricing matrices, and compatibility mapping from Body-Solid. Delivered as clean JSON, CSV, or Parquet to S3 or BigQuery.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Product Specifications objects from bodysolid.com. All fields typed and schema-versioned.
"sku": "G9S", "title": "Body-Solid G9S Two-Stack Gym", "category": "Home Gyms", "dimensions_lwh": "89 L x 76 W x 83.5 H", "machine_weight_lbs": 972.5, "price": 4295.0, "warranty_type": "In-Home Lifetime"
| # | sku | title | category | sub_category | dimensions_lwh | weight_capacity_lbs |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Dealer Network objects from bodysolid.com. All fields typed and schema-versioned.
"dealer_id": "DLR-8492", "store_name": "Fitness Equipment Superstore", "city": "Chicago", "state": "IL", "zip_code": "60605", "phone_number": "312-555-0198", "distance_miles": 4.2
| # | dealer_id | store_name | address_line_1 | city | state | zip_code |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Compatible Accessories objects from bodysolid.com. All fields typed and schema-versioned.
"base_sku": "G9S", "accessory_sku": "GKR9", "accessory_name": "Vertical Knee Raise Attachment", "price": 495.0, "connection_type": "Frame Bolt", "in_stock": true
| # | base_sku | accessory_sku | accessory_name | price | connection_type | required_adapters |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Warranty Data objects from bodysolid.com. All fields typed and schema-versioned.
"sku": "SPR1000", "coverage_type": "Commercial", "frame_years": "Lifetime", "parts_years": "3", "wear_items_years": "1", "commercial_rated": true
| # | sku | coverage_type | frame_years | parts_years | wear_items_years | labor_years |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Inventory & Shipping objects from bodysolid.com. All fields typed and schema-versioned.
"sku": "G9S", "msrp": 4500.0, "stock_status": "In Stock", "lead_time_days": 3, "shipping_weight_lbs": 1020.0, "box_count": 9
| # | sku | msrp | map_price | stock_status | lead_time_days | shipping_weight_lbs |
|---|---|---|---|---|---|---|
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Body-Solid's site contains deeply nested product data, PDF manuals, and dynamic dealer locators. We structure this data into predictable schemas for inventory management, competitor analysis, and retail mapping.
Extract dimensions, weight capacities, cable ratings, and footprint data from unstructured text and specification tables.
Iterate through US and international postal codes to extract the complete authorised dealer network, including contact details.
Map base machines to their compatible attachments and upgrades, creating a structured relational database of equipment.
Locate and extract direct URLs to PDF assembly instructions and owner manuals for every SKU.
Separate commercial, light-commercial, and in-home warranty terms into structured fields for frame, parts, and wear items.
Extract freight classes, box counts, and individual box weights critical for logistics and shipping calculators.
Monitor retail pricing, MSRP, and promotional discounts across the entire consumer and commercial catalogue.
Capture URLs for primary product images, detail shots, and dimensional diagrams for catalogue population.
Detect new product launches, discontinued items, and specification changes with hash-based diffing.
Brief in. Clean data out.
Select target categories, dealer regions, or specific product lines. We map the required fields to your schema.
We configure crawlers to handle Body-Solid's category pagination, tabular data, and zip-code based dealer searches.
We verify dimension parsing logic, ensure accessory relationships map correctly, and check data completeness.
Structured records pushed to your S3 bucket, PostgreSQL database, or Snowflake instance on your required schedule.
Extracting data from B2B manufacturing sites requires handling inconsistent formatting, buried specifications, and location-gated information.
Equipment dimensions and weight capacities are often presented in varying formats across different product lines. We deploy custom parsing logic to normalise 'L x W x H' strings into distinct, queryable numeric fields.
The dealer locator requires a zip code and radius input. We programmatically iterate through a grid of US and international postal codes to extract the entire global network without duplicates.
Body-Solid lists optional attachments on base product pages. Our pipeline maps these relationships, creating a clean relational schema linking base SKUs to their compatible add-ons.
Important technical data often resides in linked PDF documents. We extract the direct URLs to these assets, ensuring your database contains links to the official assembly instructions and parts lists.
Manufacturers frequently update their site templates. We use resilient selector chains and monitor null rates to detect layout changes, fixing extraction logic before it impacts your downstream systems.
Populate e-commerce platforms with accurate specifications, high-resolution images, and compatible accessory lists.
Feed accurate 3D footprint dimensions and clearance requirements into facility planning applications.
Track pricing strategies, warranty offerings, and new product development against other commercial fitness brands.
Utilise accurate box counts, weights, and freight classes to calculate shipping costs for heavy equipment.
Build databases of equipment manuals, parts diagrams, and warranty terms for field technicians.
Map the density of authorised dealers to identify regional distribution gaps and retail saturation.
"Body-Solid provides the structural foundation for thousands of commercial facilities, but extracting their specification matrices requires purpose-built pipelines."
Fitness equipment catalogues are notoriously fragmented across PDFs, nested tables, and dynamic dealer locators. DataFlirt structures this unstructured product data, mapping accessory compatibility and warranty tiers so your engineering team can focus on application logic rather than DOM parsing.
Everything supported by our bodysolid.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 for dynamic elements like the dealer locator map.
We route requests through residential IPs to bypass basic rate limiting and ensure complete catalogue access without IP bans.
Pipelines run on AWS infrastructure managed by Kubernetes. Airflow handles scheduling, dependency management, and delivery alerting.
Data delivered to where your team already works — no new tooling required.
About bodysolid.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available product specifications, retail pricing, and dealer locations is generally permissible. DataFlirt extracts only public, non-authenticated catalogue data. We do not attempt to bypass dealer login portals to access wholesale pricing.
The Body-Solid dealer locator requires zip code input. We use a proprietary grid of postal codes and iterate through the search interface, capturing the results and deduplicating locations based on store ID and address.
Yes. We capture the relational data present on the product pages, creating a structured map that links base SKUs (like a home gym) to their compatible attachments (like a leg press add-on).
We deploy custom Python parsing logic to normalise text. For example, we convert various dimensional strings into standard numeric fields for length, width, and height, ensuring your database remains clean.
By default, we extract the direct URLs to the PDF manuals and host them in your dataset. If required, we can configure a pipeline step to download the actual PDF files to your S3 bucket.
For catalogue data, weekly or monthly runs are typical, as equipment specifications change infrequently. Pricing and stock status can be configured for daily runs if required.
We offer managed pipelines starting with a base setup fee and a recurring monthly charge based on delivery frequency and data volume. Contact us for a precise quote based on your requirements.
20-minute scoping call. Pilot dataset within the week. Production within two. Stop manually copying specifications from PDFs. We build and maintain the pipeline to deliver clean Body-Solid catalogue data directly to your systems.
