We extract product listings, pricing signals, inventory status, brand authentication tags, and sizing matrices from Tata CLiQ. Delivered as clean JSON, CSV, or Parquet.
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 tatacliq.com. All fields typed and schema-versioned.
"product_id": "123456", "title": "Biba Cotton Printed Kurta", "brand": "Biba", "mrp": 2999.0, "selling_price": 1499.0, "discount_pct": 50, "colour": "Crimson", "authenticity_guarantee": true
| # | product_id | title | brand | category | sub_category | mrp |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pricing & Offers objects from tatacliq.com. All fields typed and schema-versioned.
"product_id": "123456", "selling_price": 1499.0, "mrp": 2999.0, "discount_pct": 50, "bank_offers": "['10% off on HDFC Cards']", "coupon_codes": "['CLIQ10']", "emi_available": false, "delivery_days": 3
| # | product_id | selling_price | mrp | discount_pct | bank_offers | coupon_codes |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Tata CLiQ Luxury objects from tatacliq.com. All fields typed and schema-versioned.
"product_id": "LUX789", "title": "Armani Exchange Chronograph Watch", "luxury_brand": "Armani Exchange", "boutique_name": "Genesis Luxury", "country_of_origin": "Italy", "return_window": "7 Days", "warranty_details": "2 Years"
| # | product_id | title | luxury_brand | boutique_name | importer_details | country_of_origin |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Category & SERP objects from tatacliq.com. All fields typed and schema-versioned.
"keyword": "sneakers", "position": 4, "product_id": "SNK112", "brand": "Puma", "selling_price": 2499.0, "is_sponsored": false, "rating": 4.2, "review_count": 128
| # | keyword | category_path | position | product_id | title | brand |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Reviews & Ratings objects from tatacliq.com. All fields typed and schema-versioned.
"review_id": "REV998", "product_id": "123456", "star_rating": 4, "review_title": "Excellent fit and finish", "review_text": "The fabric is comfortable and the stitching is precise.", "verified_buyer": true, "review_date": "2023-10-12", "helpful_votes": 14
| # | review_id | product_id | user_name | star_rating | review_title | review_text |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Tata CLiQ pipeline handles dynamic React components, location-based inventory APIs, and strict Akamai bot protection to deliver clean, normalised apparel and electronics data.
Extract product details across Tata CLiQ and Tata CLiQ Luxury. Capture titles, descriptions, material composition, and care instructions.
Track selling price, MRP, and discount percentages. Monitor intraday price fluctuations during sale events.
Simulate user location to extract pincode-specific delivery timelines, shipping fees, and inventory availability.
Capture available sizes, out-of-stock variants, and low-stock indicators per SKU.
Extract available bank discounts, EMI options, and promotional coupon codes displayed on product pages.
Capture importer details, boutique names, and authenticity guarantees specific to the Tata CLiQ Luxury domain.
Track organic and sponsored positions for targeted keywords across fashion and electronics categories.
Normalise extracted data for direct comparison against Myntra, Ajio, and Amazon Fashion datasets.
Configure pipelines for daily full-catalogue refreshes or high-frequency monitoring of specific high-value SKUs.
Brief in. Clean data out.
Specify categories, brands, or search terms on Tata CLiQ. We map the required fields and frequency.
We configure Playwright spiders, residential IP rotation, and Akamai bypass strategies.
We run schema checks, monitor null rates for critical pricing fields, and validate location-specific data.
Structured JSON, CSV, or Parquet files land in your S3 bucket or Snowflake instance on schedule.
Tata CLiQ relies heavily on client-side rendering and edge protection. We manage the infrastructure required to parse it reliably.
Tata CLiQ uses Akamai to block automated traffic. We route requests through highly reputable Indian residential proxies and manage TLS fingerprints to maintain high success rates without triggering captchas.
Product details and pricing are rendered dynamically via JavaScript. We deploy Playwright to execute page scripts, wait for XHR completion, and extract data from the hydrated DOM.
Stock availability and delivery estimates vary by location. Our pipeline injects specified pincodes into session cookies and local storage to extract accurate regional data.
Tata CLiQ and Tata CLiQ Luxury use different frontend architectures. We maintain separate extraction logic for both domains while outputting a single, normalised schema for your downstream systems.
Missing price or MRP fields corrupt competitive analysis. Our observability stack alerts on schema drift or failed XHR intercepts, triggering automatic retries before data reaches your warehouse.
Fashion and electronics brands track selling prices to identify minimum advertised price violations by third-party sellers.
Retailers monitor discount percentages and bank offers to adjust their own promotional strategies in real time.
Category managers analyse size availability and stock depth to identify inventory gaps and supply chain issues.
Analysts track boutique listings and pricing on Tata CLiQ Luxury to gauge demand for premium international brands.
Marketing teams extract banner data and coupon codes to understand campaign frequency and discount depth.
Machine learning teams ingest product descriptions, material data, and high-resolution images to train fashion recommendation engines.
"Tata CLiQ bridges the gap between mainstream fashion and premium luxury in India. Accessing this structured catalogue requires bypassing strict bot protection and managing dynamic, pincode-dependent inventory states."
Most teams fail at scraping Tata CLiQ because they treat it like a static site. Delivering accurate pricing and stock data requires full JavaScript hydration, pincode session management, and residential proxies to clear Akamai edge protection. We handle this infrastructure entirely, ensuring your data warehouse is always populated with reliable signals.
Everything supported by our tatacliq.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 request queues and retries. Playwright handles DOM hydration and XHR interception for React-based product pages.
We route requests through Indian residential IPs to match expected traffic patterns and bypass Akamai edge mitigation.
Airflow schedules concurrent extraction jobs across Kubernetes clusters, ensuring SLA compliance for daily catalogue refreshes.
Data delivered to where your team already works — no new tooling required.
About tatacliq.com scraping, legality, and pipeline operations.
Ask us directly →Extracting public product listings, prices, and reviews is generally permissible. DataFlirt only accesses unauthenticated, publicly visible catalogue data. We do not scrape user accounts or bypass login walls.
Yes. We maintain extraction logic for both standard Tata CLiQ and the luxury domain, outputting a unified schema for easy analysis.
We inject specific pincodes into the crawler sessions to trigger location-based API responses, capturing accurate delivery timelines and regional stock availability.
Yes. We parse promotional text from product pages, including specific credit card discounts, EMI availability, and active coupon codes.
Pipeline frequency is configurable. We support daily full-catalogue refreshes and high-frequency monitoring for specific SKUs during major sale events.
Engagements typically start at a defined list of category URLs or specific brand queries, delivered weekly. Contact us for volume-based pricing.
Yes. We provide sample extracts for specific fashion categories or electronics brands to validate schema compatibility before contract execution.
20-minute scoping call. Pilot dataset within the week. Production within two. Stop managing proxies and Playwright scripts. We build and operate the infrastructure required to deliver clean Tata CLiQ data directly to your warehouse.
