We extract product specifications, fabric configurations, dimensional constraints, and dealer networks from Flexsteel. 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 flexsteel.com. All fields typed and schema-versioned.
"sku": "2814-62", "name": "Kingman Power Reclining Sofa", "category": "Sofas", "collection": "Kingman", "style": "Transitional", "base_price": 2499.0, "url": "https://www.flexsteel.com/product/2814-62"
| # | sku | name | category | collection | description | features |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Fabric & Leather objects from flexsteel.com. All fields typed and schema-versioned.
"fabric_id": "812-72", "name": "Oatmeal Performance Fabric", "material": "Polyester Blend", "colour_family": "Beige", "grade": "C", "clean_code": "W", "durability_rating": "Heavy Duty"
| # | fabric_id | name | material | colour_family | grade | pattern |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Dealer Network objects from flexsteel.com. All fields typed and schema-versioned.
"dealer_id": "D-4829", "name": "Midwest Furniture Gallery", "city": "Chicago", "state": "IL", "zip_code": "60614", "phone": "312-555-0198", "latitude": 41.922, "longitude": -87.653
| # | dealer_id | name | address | city | state | zip_code |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Collections objects from flexsteel.com. All fields typed and schema-versioned.
"collection_id": "C-104", "name": "Latitudes Collection", "description": "Premium top-grain leather seating with power recline.", "style": "Contemporary", "piece_count": 14, "room_type": "Living Room", "url": "https://www.flexsteel.com/collection/latitudes"
| # | collection_id | name | description | style | piece_count | features |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Dimensions & Specs objects from flexsteel.com. All fields typed and schema-versioned.
"sku": "2814-62", "overall_height": 42.0, "overall_width": 88.0, "overall_depth": 41.0, "seat_height": 20.0, "seat_depth": 22.0, "wall_clearance": 6.0
| # | sku | overall_height | overall_width | overall_depth | seat_height | seat_depth |
|---|---|---|---|---|---|---|
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Our Flexsteel scraper navigates complex 3D configurators, parses embedded PDF specification sheets, and maps dealer networks across North America to deliver structured furniture data.
Extract SKUs, names, descriptions, and structural features like the Blue Steel Spring system across sofas, sectionals, and recliners.
Capture granular measurements including seat depth, arm height, wall clearance, and overall dimensions for space planning applications.
Scrape all available upholstery options per SKU, including grade, colour family, cleaning codes, and high-resolution material swatches.
Iterate through the Flexsteel dealer locator to extract store names, addresses, coordinates, and contact details across all postal codes.
Download and parse embedded PDF specification sheets to extract schematic data and configuration limitations not present in the HTML DOM.
Extract URLs for high-resolution product imagery, lifestyle photos, and 3D rendering assets directly from the content delivery network.
Map individual SKUs back to their parent collections to preserve assortment structures and merchandising logic.
Extract details on power reclining mechanisms, headrest articulation, and frame construction materials.
Run continuous pipelines that detect new product launches, discontinued fabrics, or changes to dealer locations.
Brief in. Clean data out.
Specify target categories, collections, or dealer regions. We design the extraction schema to match your data model.
We configure Scrapy and Playwright to handle configurator UIs, PDF parsing, and dealer locator rate limits.
Schema validation, null-rate checks, and dimension format normalisation before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or via Webhook on your defined schedule.
Extracting structured data from Flexsteel involves navigating interactive UIs and embedded documents. Here is how we build reliable pipelines for furniture data.
Flexsteel product pages use interactive configurators to display fabric options. We use Playwright to systematically trigger UI states, capturing the specific image assets and metadata for every valid upholstery combination.
Critical dimensional data is often locked inside downloadable PDF specification sheets. Our pipeline includes a document parsing layer that extracts text and tabular data from these PDFs and normalises it into the primary JSON record.
Extracting the complete dealer network requires querying the locator API across thousands of postal codes. We manage grid-based coordinate traversal and respect API rate limits to ensure complete coverage without triggering blocks.
Furniture measurements appear in mixed formats. We parse raw text strings and normalise all dimensions into strict numerical fields representing inches or centimetres, ready for database insertion.
We capture the direct, uncompressed CDN URLs for product imagery and fabric swatches, allowing your downstream systems to ingest high-quality assets without scraping them manually.
Design software providers ingest Flexsteel dimensions and fabric URLs to populate 3D room planning tools and digital catalogues.
Competitors and market analysts map the Flexsteel dealer footprint to identify geographic distribution gaps and retail partnerships.
Furniture manufacturers analyse Flexsteel collections, feature sets, and fabric grades to inform their own product development.
Multi-brand furniture UIs compile Flexsteel specifications to offer standardised filtering by dimension, style, and mechanism.
Industry analysts track catalogue additions and discontinued product lines to gauge manufacturing trends and material sourcing shifts.
Service providers and repair networks compile mechanism types and warranty details tied to specific SKUs for serviceability reference.
"Flexsteel's catalogue contains thousands of dimensional constraints and fabric combinations, locked behind complex configurator UIs and PDF spec sheets."
Extracting furniture specifications requires more than simple HTTP GET requests. We deploy Playwright to drive the 3D fabric configurators, parse dimensional data directly from embedded PDF spec sheets, and map dealer networks across postal codes. DataFlirt handles the extraction so your team can focus on catalogue integration.
Everything supported by our flexsteel.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 drives the UI interactions required to expose fabric swatches and dynamic configurator data.
Custom Python modules download, parse, and structure tabular data from PDF specification sheets, merging it with the HTML-derived product records.
Pipelines run on Kubernetes. Airflow handles scheduling and dependency management, ensuring dealer API traversal completes within rate limits.
Data delivered to where your team already works — no new tooling required.
About flexsteel.com scraping, legality, and pipeline operations.
Ask us directly →Yes. We use browser automation to iterate through the fabric configurator, capturing the fabric ID, grade, material type, and the specific image URL for that combination.
Our pipeline identifies links to specification sheets, downloads the PDFs, extracts the text and tabular data, and maps the dimensions back to the parent SKU in the final JSON record.
Yes. We use a grid-search approach across North American postal codes to query the dealer locator API, extracting store details, coordinates, and contact information.
We deliver the direct CDN URLs for the highest resolution images available. This allows your systems to download the assets directly, avoiding unnecessary bandwidth costs in the data payload.
No. Wholesale pricing and factory inventory levels are secured behind the Flexsteel B2B dealer portal. We only extract publicly available catalogue and retail data.
We typically run furniture catalogue pipelines on a weekly or monthly cadence to detect new collections and discontinued fabrics. Dealer networks can be updated at the same frequency.
20-minute scoping call. Pilot dataset within the week. Production within two. Need precise dimensions, fabric matrices, or dealer locations? We build and manage the extraction infrastructure. Tell us your data requirements.
