We extract product listings, pearl grading attributes, pricing signals, and review corpora from The Pearl Source. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your schedule.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Necklaces & Pendants objects from thepearlsource.com. All fields typed and schema-versioned.
"sku": "N-AK-8085-AAAA", "title": "8.0-8.5mm White Akoya Pearl Necklace", "pearl_type": "Akoya", "grade": "AAAA", "size_mm": "8.0-8.5", "length_inches": 18, "clasp_type": "Ball Clasp", "metal": "14K Yellow Gold", "price": 849.0
| # | sku | title | pearl_type | grade | size_mm | length_inches |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Rings & Earrings objects from thepearlsource.com. All fields typed and schema-versioned.
"sku": "R-SS-1011-W-14K", "title": "10-11mm White South Sea Pearl Ring", "pearl_type": "South Sea", "grade": "AAA", "size_mm": "10.0-11.0", "metal": "14K White Gold", "diamond_weight_ct": 0.15, "price": 1299.0
| # | sku | title | pearl_type | grade | size_mm | ring_size |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Inventory objects from thepearlsource.com. All fields typed and schema-versioned.
"sku": "N-AK-8085-AAAA", "base_price": 1199.0, "current_price": 849.0, "discount_pct": 29, "in_stock": true, "shipping_days": 2, "warranty_included": true, "certificate_included": true
| # | sku | base_price | current_price | discount_pct | in_stock | stock_level |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Product Reviews objects from thepearlsource.com. All fields typed and schema-versioned.
"review_id": "REV-892144", "sku": "N-AK-8085-AAAA", "author": "Sarah M.", "rating": 5, "date": "2026-02-14", "title": "Stunning quality and lustre", "verified_buyer": true, "helpful_votes": 12
| # | review_id | sku | author | rating | date | title |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Education & Guides objects from thepearlsource.com. All fields typed and schema-versioned.
"url": "https://www.thepearlsource.com/blog/pearl-grading-guide", "title": "The Ultimate Pearl Grading Guide", "category": "Education", "publish_date": "2025-11-04", "reading_time_mins": 8, "related_products": "['N-AK-8085-AAAA', 'N-TH-9010-AAA']"
| # | url | title | category | author | publish_date | content_body |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
The Pearl Source relies on complex product configuration matrices. We capture every variation of pearl grade, size, metal, and clasp type to deliver a fully normalised dataset.
Capture pearl type, grade (AAA, AAAA), size in millimetres, body colour, and overtone for every SKU.
Extract all available necklace lengths, clasp styles, and metal options (14K yellow gold, white gold, rose gold) linked to base models.
Track price adjustments as configurations change. We render the JavaScript to capture the exact price for a 36-inch necklace with a diamond clasp.
Extract full text reviews, star ratings, and verified buyer badges across the entire product catalogue.
Scrape URLs for primary product images, lifestyle shots, and certification documents associated with high-end pieces.
Monitor retail prices versus sale prices to calculate discount percentages and track promotional events.
Extract carat weight, clarity, and colour attributes for jewellery pieces featuring diamond accents.
Capture stock availability, estimated dispatch times, and packaging inclusions (certificates, appraisal documents).
Run daily pipelines that identify new products, out-of-stock items, and price changes without re-downloading static data.
Brief in. Clean data out.
Select target categories, specify required fields (grading, pricing, reviews), and define extraction frequency.
We configure crawlers to handle The Pearl Source's configuration widgets and pagination logic.
Schema validation ensures all variant permutations (length, clasp, grade) are correctly mapped to prices.
Structured JSON, CSV, or Parquet delivered to your S3 bucket or data warehouse on schedule.
Extracting data from fine jewellery sites requires navigating complex product variants. Here is how we ensure data accuracy.
A single pearl necklace can have 4 lengths, 3 pearl grades, and 5 clasp types. We programmatically select every combination in the UI to extract the accurate price and SKU for each specific variant.
Base prices update dynamically via JavaScript when a user selects a higher pearl grade or a diamond clasp. We use Playwright to execute these scripts and capture the final rendered price.
We preserve the breadcrumb trails and category structures (e.g., Tahitian Pearls > Necklaces > Black Tahitian) so you can analyse pricing and inventory by specific jewellery segments.
We navigate through infinite scroll and paginated review widgets to extract historical customer feedback, ensuring no reviews are missed during the crawl.
Jewellery analysis often requires high-quality images. We bypass thumbnail URLs and extract the source URLs for the highest resolution product images available in the DOM.
Jewellery retailers track pricing strategies for specific pearl grades and sizes to maintain competitive market positioning.
Analysts monitor inventory levels and new product introductions to identify consumer preferences for specific pearl types (e.g., Akoya vs Tahitian).
Machine learning teams use structured descriptions, grading attributes, and high-resolution images to train computer vision and recommendation models.
Retailers analyse the price premiums charged for higher pearl grades (AAA to AAAA) or longer necklace lengths to optimise their own pricing structures.
Brands mine customer reviews to understand buyer priorities regarding lustre, shape, matching, and presentation.
Merchandising teams analyse category depth to understand how competitors structure their product matrix across different price points.
"The Pearl Source maintains one of the most structured direct-to-consumer pearl catalogues available - extracting it requires precision variant mapping."
Extracting fine jewellery data requires handling complex variant matrices. A single necklace yields dozens of SKUs based on length, clasp, and pearl grade. DataFlirt maps these permutations perfectly, delivering a normalised schema ready for immediate analysis.
Everything supported by our thepearlsource.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 the crawl state and deduplication, while Playwright handles the complex UI interactions required to expose prices for different pearl grades and necklace lengths.
We route requests through high-quality residential proxies to maintain persistent sessions and prevent rate-limiting during deep catalogue crawls.
Pipelines run on scalable AWS infrastructure, orchestrated by Apache Airflow to ensure reliable daily or weekly data delivery.
Data delivered to where your team already works — no new tooling required.
About thepearlsource.com scraping, legality, and pipeline operations.
Ask us directly →Yes. We configure our crawlers to iterate through every available option on the product page - selecting different pearl grades, lengths, and clasps - to extract the exact price associated with each specific configuration.
We capture the inventory status for every variant. If a specific length or clasp combination is unavailable, it is flagged as out-of-stock in the dataset while retaining its historical pricing metadata.
Yes. We can extract the text, author metadata, and image URLs from The Pearl Source's educational sections, which is highly valuable for training domain-specific AI models.
For a catalogue of this size (approximately 15,000 to 20,000 SKUs when accounting for variants), we typically run daily or weekly pipelines. Daily runs are optimal for tracking promotional pricing and stock changes.
Yes. We extract the source URLs for the highest resolution images available in the DOM, allowing you to download the raw assets for visual analysis or machine learning applications.
JSON is generally best for preserving the parent-child relationship between a base product and its numerous configurations. However, we can also flatten this data into CSV or Parquet formats where each row represents a unique SKU permutation.
20-minute scoping call. Pilot dataset within the week. Production within two. Stop manually tracking pearl prices and configurations. We build and maintain the infrastructure to deliver structured catalogue data directly to your systems.
