We extract pet supplies catalogues, pricing signals, brand distribution, and customer reviews from Dogspot. 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 Product Listings objects from dogspot.in. All fields typed and schema-versioned.
"sku": "DS-RC-MAXI-15KG", "title": "Royal Canin Maxi Adult Dog Food", "brand": "Royal Canin", "price": 6450.0, "discount_pct": 10, "in_stock": true, "category": "Dog Food", "weight_options": "['4kg', '15kg']"
| # | sku | title | brand | category | sub_category | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Offers objects from dogspot.in. All fields typed and schema-versioned.
"sku": "DS-RC-MAXI-15KG", "price": 6450.0, "list_price": 7160.0, "discount_pct": 10, "deal_badge": "Bestseller", "combo_offer": false, "price_timestamp": "2026-05-12T09:14:00Z", "currency": "INR"
| # | sku | price | list_price | discount_pct | discount_abs | deal_badge |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from dogspot.in. All fields typed and schema-versioned.
"review_id": "REV-89214", "sku": "DS-RC-MAXI-15KG", "star_rating": 5, "verified_purchase": true, "review_title": "Great packaging and delivery", "review_date": "2026-04-18", "reviewer_name": "Rahul S."
| # | review_id | sku | reviewer_name | star_rating | review_title | review_body |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Categories & Taxonomy objects from dogspot.in. All fields typed and schema-versioned.
"category_id": "CAT-102", "name": "Dry Food", "parent_category": "Dog Food", "product_count": 412, "top_brands": "['Pedigree', 'Royal Canin', 'Farmina']", "scraped_at": "2026-05-12T09:14:33Z"
| # | category_id | name | parent_category | url | product_count | top_brands |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Brand Data objects from dogspot.in. All fields typed and schema-versioned.
"brand_name": "Pedigree", "brand_slug": "pedigree", "total_products": 84, "categories_present": "['Dry Food', 'Wet Food', 'Treats']", "max_discount": 15, "scraped_at": "2026-05-12T10:00:00Z"
| # | brand_name | brand_slug | total_products | categories_present | avg_price | max_discount |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Dogspot scraper handles e-commerce pagination, dynamic pricing variations, out-of-stock indicators, and product variant mapping with full session management built in.
Title, descriptions, ingredients, feeding guidelines, images, and variations scraped at SKU level with parent-child variant mapping.
Capture price, list price, deal badges, and combo offers timestamped per crawl.
Extract product distribution across categories and track brand catalogue sizes over time.
Full review text, star ratings, and verified purchase flags paginated across all review pages.
Monitor in-stock status and out-of-stock indicators for every weight variant.
Link 1kg, 3kg, and 15kg bags to a single parent product record to normalise pricing per kg.
Parse guaranteed analysis and ingredient lists into structured arrays for comparative analysis.
Monitor sitewide sales, coupon codes, and bundle discounts.
Run one-off bulk exports or configure continuous pipelines at daily cadences with change-detection diffing.
Brief in. Clean data out.
Provide category URLs, brand names, or keyword sets. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, and session management for dogspot.in.
Schema validation, null-rate checks, and price-outlier detection before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket or Snowflake stage on agreed cadence.
E-commerce sites deploy rate limits and dynamic layouts. Here is how we maintain data integrity.
We use residential ISP proxies with realistic browser fingerprints and randomised request timing to avoid IP bans and rate limiting.
Product variant prices often load via JavaScript. We run Playwright browser sessions to trigger variant selection and capture accurate pricing.
Our selector strategy uses multiple fallback chains per field so a layout change does not break your data pipeline overnight.
We maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing downstream processing load.
Every run emits structured logs. We alert on null-rate spikes, price outliers, and coverage drops.
Pet care brands and retailers monitor pricing and discounts to optimise their own pricing strategies.
FMCG companies track competitor SKU counts and category dominance across the platform.
Supply chain teams correlate out-of-stock indicators with promotional periods to model demand.
Retailers analyse new product launches and category expansions to identify market gaps.
Product teams mine review text to understand palatability issues or packaging complaints.
Premium pet food brands audit listings for Minimum Advertised Price violations.
"Dogspot holds critical signals for the Indian pet care market. Extracting accurate, variant-level pricing requires dedicated infrastructure."
Most teams underestimate the investment required: reliable e-commerce scraping requires proxy rotation, variant mapping, daily selector maintenance, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our dogspot.in 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 and interaction flows.
We maintain pools of residential ISP proxies across IN regions. Rotation happens per-request with sticky sessions where required.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About dogspot.in scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible under applicable law in India. DataFlirt targets only public, non-authenticated product and pricing data. We do not extract personal data or circumvent authentication walls.
We use residential ISP proxies and request timing modelled on human behaviour to distribute load and avoid IP bans.
Full catalogue refreshes at daily cadence complete within a 2-4 hour window depending on size.
Yes. We capture parent-child relationships so 1kg, 3kg, and 15kg bags are linked, allowing you to normalise price per kg.
Our packages start at defined brand lists or category sets with weekly delivery. Contact us with your use case for a scoped quote.
Yes. We provide a sample run of up to 500 SKUs as part of the pre-engagement scoping process to validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off product catalogue dump or a continuous price-monitoring feed. We scope, build, and operate the pipeline. Tell us what you need.
