We extract fine jewellery listings, metal specifications, stone details, ring sizing variants, and dynamic pricing from giva.co. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake.
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 giva.co. All fields typed and schema-versioned.
"sku": "GVA-R-1042", "title": "Rose Gold Classic Solitaire Ring", "category": "Rings", "metal_type": "Silver", "purity": "925", "plating": "Rose Gold", "price": 1999.0, "in_stock": true
| # | sku | title | category | sub_category | metal_type | purity |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Stone & Material Specs objects from giva.co. All fields typed and schema-versioned.
"sku": "GVA-R-1042", "primary_stone": "AAA+ Zircon", "stone_cut": "Round Brilliant", "stone_color": "Clear", "metal_weight_g": 2.4, "authenticity_cert": true, "dimensions": "1.8cm diameter"
| # | sku | primary_stone | stone_cut | stone_clarity | stone_color | diamond_weight_ct |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Variants & Sizing objects from giva.co. All fields typed and schema-versioned.
"parent_sku": "GVA-R-1042", "variant_sku": "GVA-R-1042-S12", "variant_type": "Ring Size", "size_value": "12", "size_unit": "Indian", "inventory_status": "In Stock", "is_default": false
| # | parent_sku | variant_sku | variant_type | size_value | size_unit | price_adjustment |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Reviews & Ratings objects from giva.co. All fields typed and schema-versioned.
"review_id": "REV-849201", "sku": "GVA-R-1042", "reviewer_name": "Priya S.", "rating": 5, "review_date": "2023-11-14", "verified_purchase": true, "helpful_votes": 12
| # | review_id | sku | reviewer_name | rating | review_title | review_body |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Offers & Pricing objects from giva.co. All fields typed and schema-versioned.
"sku": "GVA-R-1042", "base_price": 2999.0, "discount_price": 1999.0, "discount_pct": 33, "coupon_eligible": true, "emi_available": false, "currency": "INR"
| # | sku | base_price | discount_price | discount_pct | coupon_eligible | bundle_offer |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our giva.co scraper parses complex product variants, metal specifications, and high-resolution media assets while handling Shopify storefront pagination and anti-bot measures.
Extract specific material claims including 925 sterling silver, 14k/18k gold specifications, and hallmark details.
Capture AAA+ Zircon, lab-grown diamond cuts, clarity ratings, and carat weights normalised into structured fields.
Extract every ring size and chain length option, mapping them precisely to their parent SKUs and respective prices.
Isolate uncompressed image CDN URLs and 360-degree video assets, bypassing low-resolution frontend thumbnails.
Capture base prices, active sale discounts, coupon eligibility flags, and EMI payment options.
Track out-of-stock items, low-inventory warnings, and availability changes at the individual variant level.
Scrape customer ratings, detailed review text, submission dates, and verified purchase flags across all products.
Crawl specific collections like earrings, necklaces, or seasonal gifting categories to maintain accurate taxonomy.
Extract claims regarding authenticity certificates, warranty periods, and anti-tarnish guarantees.
Run change-detection pipelines that only push new records when a product's price, stock, or variant list changes.
Brief in. Clean data out.
Provide Giva collection URLs or target categories. We design the extraction schema for jewellery specifications.
We configure Scrapy / Playwright crawlers to handle Shopify pagination, variant selectors, and rate limits.
Schema validation, null-rate checks for critical fields like metal purity, and price-outlier detection.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Scraping giva.co requires parsing complex variant graphs and handling dynamic storefront APIs. Here is how we maintain data integrity.
Jewellery SKUs have multiple size variants, each with distinct pricing and stock levels. We extract the full variant graph from the frontend state, ensuring no size option is missed.
Metal purity, plating types, and stone weights are often buried in HTML descriptions. We use regex and NLP to normalise these into structured columns like 'metal_purity' and 'plating_finish'.
Instead of purely parsing the DOM, our Playwright scripts intercept the underlying Shopify API calls, extracting cleaner, more comprehensive product payloads with lower latency.
Thumbnail images are insufficient for jewellery analysis. We isolate the CDN URLs for maximum-resolution product imagery and 360-degree videos.
Fast-moving inventory requires high-frequency polling. We deploy lightweight HTTP crawlers with residential proxies to check stock status across thousands of SKUs every hour without triggering rate limits.
Jewellery brands monitor Giva's pricing, discount strategies, and bundle offers to adjust their own promotional calendars.
Retailers analyse Giva's catalogue depth across categories (e.g., rings vs necklaces) to identify trending designs and metal preferences.
Supply chain teams track out-of-stock rates on specific ring sizes or plating variants to model consumer demand.
Market researchers quantify the shift between 925 silver, rose gold plating, and lab-grown diamonds based on new product launches.
Brands aggregate Giva's customer reviews to understand pain points regarding tarnishing, clasp quality, or sizing issues.
Computer vision teams use high-resolution jewellery imagery mapped to structured metadata to train design-generation models.
"Fine jewellery eCommerce relies on micro-specifications. Without structured extraction of metal purity and stone cuts, a ring is just an image on a screen."
Extracting data from giva.co requires more than basic HTML parsing. The platform relies heavily on dynamic variant selectors for sizing and asynchronous API calls for inventory status. DataFlirt handles the complex state management and variant expansion required to deliver a complete, highly-normalised catalogue.
Everything supported by our giva.co scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
We map complex parent-child relationships for jewellery sizing, ensuring every ring size and chain length is captured as a distinct, queryable record.
Where possible, our crawlers bypass DOM parsing to intercept internal GraphQL and JSON endpoints, yielding cleaner data and reducing pipeline latency.
For daily price and inventory tracking, we maintain a state hash per SKU. You only receive updates when a product's price drops or stock status changes.
Data delivered to where your team already works — no new tooling required.
About giva.co scraping, legality, and pipeline operations.
Ask us directly →Yes. Our scraper expands the variant graph on giva.co, capturing every available size, its specific price (if variable), and its distinct inventory status.
We use regex and text-parsing rules to extract explicit specifications like '925 Silver', '18K Gold', or 'Zircon' from the product description and map them to structured columns.
Yes. We extract the full review corpus per product, including star ratings, reviewer names, review text, dates, and verified purchase flags.
Yes. We can configure high-frequency pipelines to poll specific SKUs or categories and deliver webhook alerts when inventory status changes.
We isolate and extract the source CDN URLs for product imagery, bypassing the low-resolution thumbnails displayed on collection pages.
Scraping publicly available product catalogues, pricing, and reviews is generally permissible. We do not extract private user data, bypass authentication walls, or scrape GIVA rewards accounts.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue extraction or continuous inventory monitoring across thousands of SKUs — we scope, build, and operate the pipeline. Tell us what you need.
