We extract bicycle listings, Club 99 pricing, component specifications, and store-level inventory from 99Bikes. 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 Bicycles & Frames objects from 99bikes.com.au. All fields typed and schema-versioned.
"sku": "MER21SCULTURA4000BAIN", "name": "Merida Scultura 4000 Road Bike", "brand": "Merida", "standard_price": 3299.0, "club_99_price": 2799.0, "stock_status": "In Stock", "sizes_available": "['SM', 'MD', 'LG']", "model_year": 2024
| # | sku | name | brand | category | sub_category | standard_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Parts & Components objects from 99bikes.com.au. All fields typed and schema-versioned.
"sku": "SHIMCSHG70011134", "name": "Shimano 105 CS-HG700 11 Speed Cassette", "brand": "Shimano", "component_type": "Drivetrain", "standard_price": 109.95, "club_99_price": 89.0, "in_stock_online": true, "weight_grams": 379
| # | sku | name | brand | component_type | compatibility | weight_grams |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Inventory objects from 99bikes.com.au. All fields typed and schema-versioned.
"sku": "MER21SCULTURA4000BAIN", "standard_price": 3299.0, "club_99_price": 2799.0, "clearance_flag": false, "online_stock": true, "store_stock_list": "['Fortitude Valley', 'Melbourne CBD', 'Sydney Olympic Park']", "last_checked": "2026-05-12T09:14:00Z"
| # | sku | standard_price | club_99_price | clearance_flag | online_stock | store_stock_list |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Specifications & Geometry objects from 99bikes.com.au. All fields typed and schema-versioned.
"sku": "MER21SCULTURA4000BAIN", "frame_material": "Carbon Fibre", "fork": "Scultura CF3 Disc", "drivetrain": "Shimano 105 11-Speed", "brakes": "Shimano 105 Hydraulic Disc", "wheel_size": "700c", "weight_kg": 8.4
| # | sku | frame_material | fork | drivetrain | brakes | wheel_size |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from 99bikes.com.au. All fields typed and schema-versioned.
"review_id": "REV99B83742", "sku": "MER21SCULTURA4000BAIN", "rating": 5, "review_title": "Excellent entry carbon bike", "review_body": "Lightweight and responsive. Great value on Club 99.", "verified_buyer": true, "review_date": "2026-04-18"
| # | review_id | sku | reviewer_name | rating | review_title | review_body |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our 99Bikes scraper handles every layer of the platform: dual-tier pricing, dynamic local inventory, deep technical specifications, and paginated review data.
SKU, brand, description, high-resolution image URLs, and category breadcrumbs scraped across every department.
Extract both standard retail pricing and Club 99 membership pricing simultaneously to calculate exact discount margins.
Scrape stock availability across all 60+ Australian retail locations using dynamic postcode and store-selector queries.
Structured extraction of drivetrain components, brake types, frame materials, and suspension travel metrics.
Capture reach, stack, wheelbase, and head angle metrics from embedded geometry tables for comparative analysis.
Isolate battery capacity (Wh), motor torque (Nm), and manufacturer estimated range for electric bicycle models.
Extract sizing charts, colour variations, and stock depth for helmets, clothing, and cycling accessories.
Full review text, star ratings, helpful vote counts, and verified buyer flags paginated across all product reviews.
Run daily diffs to track inventory depletion or weekly full-catalogue runs to monitor seasonal assortment changes.
Brief in. Clean data out.
Provide categories, brands, or specific SKUs. We design the extraction schema for bicycles, parts, or apparel.
We configure Scrapy and Playwright crawlers, Australian proxy rotation, and session management for 99bikes.com.au.
Schema validation, null-rate checks, and store-inventory verification before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting accurate store-level inventory and dual-tier pricing requires specific infrastructure. Here is how we maintain data integrity.
99Bikes employs geo-blocking and rate limiting. Our crawlers use Australian ISP proxies to ensure reliable access and correct local pricing display without triggering security challenges.
Store-level stock availability is loaded dynamically via JavaScript. We run full Playwright browser sessions to interact with the store selector and extract accurate local inventory.
Bicycles have geometry charts and frame specs; parts have compatibility lists. Our parsers recognise the product category and apply the correct extraction schema automatically.
We maintain a hash index of last-seen values per SKU. Subsequent runs only push price or inventory diffs, reducing compute cost and downstream processing load.
We alert on null-rate spikes, missing Club 99 prices, or sudden drops in store count. SLAs are maintained through constant schema monitoring.
Independent bike shops and major retailers monitor standard and Club 99 pricing to adjust their own margins.
Brands analyse category depth to identify missing price points or underserviced bicycle disciplines in the Australian market.
Manufacturers audit 99Bikes listings to ensure MAP compliance and correct representation of technical specifications.
Supply chain analysts track store-level stock depletion rates to estimate sales velocity for specific components.
Industry analysts aggregate review data and model year releases to track consumer preference shifts towards e-bikes.
Product managers track the prevalence of specific drivetrains or brake systems across different price tiers.
"99Bikes holds the most comprehensive bicycle and component inventory data in Australia, but extracting local store stock and Club 99 pricing requires precise execution."
Retail scraping demands more than basic HTTP requests. Extracting accurate store-level inventory and dual-tier pricing from 99Bikes requires residential Australian proxies, JavaScript execution for stock widgets, and daily schema monitoring. DataFlirt handles the infrastructure so your analysts can focus on pricing strategy rather than maintenance.
Everything supported by our 99bikes.com.au 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 store inventory widgets and interactive sizing charts.
We maintain pools of residential ISP proxies specifically in Australia. Rotation happens per-request to prevent IP bans and ensure accurate local data.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling for daily inventory checks. All state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About 99bikes.com.au scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from 99Bikes is generally permissible. DataFlirt targets only public product, pricing, and store inventory data. We do not extract personal data, circumvent authentication walls, or scrape private Club 99 member profiles. Clients should consult legal counsel for specific use cases.
Yes. Our parsers identify and extract both the standard retail price and the discounted Club 99 price, allowing you to calculate the exact membership margin for every SKU.
We use Playwright to interact with the store availability widget on the product page. The crawler iterates through the location selector to build a complete stock profile across all physical retail stores.
Yes. Where 99Bikes provides tabular geometry data (reach, stack, angles), we extract this into structured JSON objects tied to the specific frame size and SKU.
For targeted SKU lists, we can configure hourly runs to monitor stock depletion. Full catalogue refreshes typically run on a daily cadence during off-peak Australian hours.
Yes. We map all available sizes (e.g., SM, MD, LG) and colourways back to the parent product, recording the specific stock status and price for each variant combination.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily feed of Club 99 pricing changes or a complete component catalogue extraction, we scope, build, and operate the pipeline. Tell us what you need.
