We extract jewelry auction records, diamond grading reports, watch specifications, and final sale prices from Worthy. 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 Diamond Auctions objects from worthy.com. All fields typed and schema-versioned.
"auction_id": "W-892104", "title": "Round Cut 1.50 CT Solitaire Ring", "shape": "Round", "carat_weight": 1.5, "colour_grade": "G", "clarity_grade": "VS1", "grading_lab": "GIA", "current_bid": 4850.0, "bid_count": 14
| # | auction_id | title | shape | carat_weight | colour_grade | clarity_grade |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Watch Auctions objects from worthy.com. All fields typed and schema-versioned.
"auction_id": "W-901452", "brand": "Rolex", "model": "Submariner", "reference_number": "116610LN", "movement": "Automatic", "case_material": "Steel", "box_included": true, "papers_included": false, "current_bid": 8200.0
| # | auction_id | brand | model | reference_number | movement | case_material |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Sold History objects from worthy.com. All fields typed and schema-versioned.
"auction_id": "W-773821", "category": "Necklace", "final_price": 3150.0, "sale_date": "2023-11-14T18:30:00Z", "total_bids": 22, "original_retail_value": 7500.0, "item_condition": "Excellent", "grading_url": "https://worthy.com/reports/773821"
| # | auction_id | title | category | final_price | sale_date | total_bids |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Grading Reports objects from worthy.com. All fields typed and schema-versioned.
"report_id": "GIA-23849102", "lab": "GIA", "carat_weight": 2.01, "colour_grade": "F", "clarity_grade": "VVS2", "cut_grade": "Excellent", "polish": "Excellent", "symmetry": "Excellent", "fluorescence": "None"
| # | report_id | lab | carat_weight | colour_grade | clarity_grade | cut_grade |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search & Trends objects from worthy.com. All fields typed and schema-versioned.
"item_id": "W-992110", "category": "Earrings", "views": 412, "trending_status": true, "reserve_met": false, "minimum_bid": 1200.0, "auction_start": "2023-11-20T10:00:00Z", "auction_end": "2023-11-27T10:00:00Z"
| # | item_id | category | views | trending_status | reserve_met | minimum_bid |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Worthy scraper captures dynamic bid updates, detailed diamond grading specifications, and historical sale prices. We handle pagination, JavaScript hydration, and proxy rotation automatically.
Extract carat, colour, clarity, cut, and lab grading details from every diamond listing on the platform.
Capture brand, model, reference numbers, movement types, and box/papers inclusion status for luxury watches.
Monitor active auctions to extract current bid prices, bid counts, and reserve status in near real time.
Scrape completed auctions for final sale prices, total bids, and sale dates to build historical pricing models.
Extract structured data from embedded GIA, IGI, and other gemological laboratory reports.
Only export records when a bid updates or an auction concludes, reducing redundant data processing.
Extract high-resolution image URLs and 360-degree view assets for visual inspection models.
Track exact auction closing times to optimise bid monitoring frequency during the final hours.
Map items to specific categories: rings, necklaces, bracelets, earrings, and loose diamonds.
Brief in. Clean data out.
Specify target categories, active auctions, or historical sale archives. We configure the extraction schema.
We deploy Scrapy and Playwright crawlers, configuring proxy rotation and session handling for worthy.com.
Schema validation, null-rate checks, and data type verification before production launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on schedule.
Worthy relies on client-side rendering and dynamic state updates for active bids. We manage the technical overhead of state hydration and bot mitigation.
Worthy's active auction pages load bid counts and current prices via asynchronous requests. We use Playwright to execute page scripts and capture the fully hydrated DOM, ensuring bid data is current at the time of extraction.
Aggressive polling of active auctions triggers IP bans. We distribute requests across a pool of US residential proxies, pacing requests to mimic organic buyer behaviour and maintain pipeline stability.
Extracting historical sold data requires traversing thousands of paginated results. Our crawlers manage stateful pagination and session cookies to extract complete historical archives without interruption.
Diamond grading formats can vary between GIA and IGI reports. We parse and normalise specifications like colour and clarity into consistent schema fields for downstream analysis.
We dynamically adjust crawl frequency based on auction end times, increasing polling rates in the final hours to capture late bid velocity and final sale prices accurately.
Jewelry retailers and pawnshops use historical sale data to determine accurate buyout offers for pre-owned items.
Analysts track fluctuations in diamond prices by carat and colour grade over time.
Alternative asset funds monitor final sale prices of specific Rolex, Patek Philippe, and Audemars Piguet references.
Insurers and appraisers feed recent comparable sales into automated valuation models for accurate policy pricing.
Online auction platforms monitor Worthy's inventory volume, category distribution, and sell-through rates.
AI teams use grading specifications and final sale prices to train predictive pricing algorithms.
"Worthy holds the most accurate dataset of wholesale-to-retail clearing prices for pre-owned diamonds and luxury watches on the secondary market."
Accessing this data requires navigating dynamic single-page applications, proxy blocking, and deep pagination. DataFlirt manages the extraction infrastructure so your data science teams can focus on pricing models and market analysis rather than maintaining scraper configurations.
Everything supported by our worthy.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 manages crawl queues and deduplication. Playwright handles JavaScript execution for dynamic bid rendering and stateful pagination.
US-based residential proxy pools ensure requests appear as organic traffic, preventing IP blocks during aggressive auction monitoring.
Containerised pipelines scheduled via Airflow, running on scalable AWS infrastructure with continuous monitoring via Prometheus and Grafana.
Data delivered to where your team already works — no new tooling required.
About worthy.com scraping, legality, and pipeline operations.
Ask us directly →Yes. We can traverse the historical archives to extract past auction results, including final sale prices, total bid counts, and item specifications.
We can configure pipelines to poll active auctions at specific intervals. For closing auctions, we can increase frequency to capture late bid velocity, delivering updates via Webhook or batch files.
Yes. We parse the specifications detailed in the grading reports linked to diamond listings, extracting carat, colour, clarity, cut, polish, and symmetry.
We route all requests through US-based residential proxies and manage request pacing to mimic standard user behaviour, avoiding the rate limits applied to datacenter IPs.
Yes. We can filter the extraction to monitor specific brands, models, or reference numbers, building a time-series dataset of auction clearing prices.
We deliver data in JSON, CSV, or Parquet formats. Files can be pushed directly to AWS S3, Google Cloud Storage, BigQuery, or Snowflake.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a historical archive of diamond sales or a continuous feed of active watch auctions — we scope, build, and operate the pipeline.
