We extract product catalogues, pricing signals, merchant intelligence, and reviews from Konga. 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 konga.com. All fields typed and schema-versioned.
"sku": "8472911", "title": "Men's Classic Oxford Shirt", "brand": "David Wej", "price": 14500.0, "currency": "NGN", "konga_prime": true, "rating": 4.2
| # | sku | title | brand | category | sub_category | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Offers objects from konga.com. All fields typed and schema-versioned.
"sku": "8472911", "price": 14500.0, "list_price": 18000.0, "discount_pct": 19, "flash_sale": false, "konga_bulk_price": 13000.0, "konga_bulk_min_qty": 10, "price_timestamp": "2023-10-24T08:12:00Z"
| # | sku | price | list_price | discount_pct | flash_sale | flash_sale_ends |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from konga.com. All fields typed and schema-versioned.
"review_id": "REV-99214", "sku": "8472911", "star_rating": 4, "verified_purchase": true, "review_title": "Good quality fabric", "review_date": "2023-10-12", "helpful_votes": 12
| # | review_id | sku | reviewer_name | verified_purchase | star_rating | review_title |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Merchant Data objects from konga.com. All fields typed and schema-versioned.
"merchant_id": "M-4412", "merchant_name": "Lagos Fashion Hub", "total_products": 412, "rating": 4.6, "positive_feedback_pct": 94, "successful_sales": 1205, "verified_merchant": true
| # | merchant_id | merchant_name | store_url | total_products | join_date | rating |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from konga.com. All fields typed and schema-versioned.
"keyword": "mens native wear", "position": 3, "sku": "8472911", "sponsored": false, "konga_prime": true, "price": 14500.0, "scraped_at": "2023-10-24T08:14:00Z"
| # | keyword | position | sku | title | price | rating |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Konga scraper handles storefront listings, NGN pricing, merchant intelligence, and the review corpus with JavaScript rendering and anti-bot circumvention built in.
Title, description, images, brand, and every metadata field Konga surfaces, scraped at SKU level with variant mapping.
Capture NGN pricing, list price, Konga Bulk discounts, and delivery fees, timestamped per crawl.
Extract seller ratings, successful sales counts, return rates, and positive feedback percentages for every merchant.
Full review text, star ratings, helpful vote counts, and verified purchase flags paginated across all review pages.
Track organic vs sponsored position for any keyword with Konga Prime badge capture.
Monitor time-bound deals, claim percentages, and promotional windows.
Extract available sizes, colour options, and stock depth for apparel and footwear categories.
Identify listings eligible for free delivery and extract estimated delivery timelines.
Run one-off bulk exports or configure continuous pipelines at hourly or daily cadences.
Brief in. Clean data out.
Provide SKU lists, category URLs, or keyword sets. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for konga.com.
Schema validation, null-rate checks, and price-outlier detection before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
African e-commerce platforms deploy strict regional rate limits and dynamic rendering. Here is how we maintain steady throughput.
Konga restricts traffic outside West Africa. Our crawlers use Nigerian residential ISP proxies with realistic browser fingerprints to bypass geo-blocks and rate limits.
Konga product pages and search results rely heavily on JavaScript. We run full Playwright browser sessions to trigger lazy-loads and hydrate dynamic price widgets.
Our selector strategy uses multiple fallback chains per field so a layout change in the Konga Mall storefront does not break your data pipeline.
For large SKU catalogues, we maintain a hash index of last-seen values. Subsequent runs only push diffs, reducing downstream processing load.
Every run emits structured logs. We alert on null-rate spikes and coverage drops, responding before you notice.
Retailers and 3P merchants monitor Konga pricing and flash sales to optimise their own margins.
Brands audit Konga Mall sellers for MAP violations, counterfeit apparel, and unauthorised resellers.
Analysts track category saturation and new fashion trends to identify investment opportunities in the Nigerian market.
ML teams use Konga datasets to train recommendation engines and NLP classifiers for local dialects and product terminology.
Supply chain teams correlate review velocity and stock depth indicators to improve procurement models.
Sellers track competitor ratings, successful sales metrics, and return rates to benchmark performance.
"Konga holds the most accurate pricing and merchant velocity data for the Nigerian market, but extracting it requires dedicated regional infrastructure."
Most teams underestimate the complexity of scraping African e-commerce at scale. Reliable Konga extraction requires Nigerian residential proxies, full JavaScript rendering for dynamic pricing widgets, and strict anomaly monitoring. DataFlirt absorbs that operational overhead.
Everything supported by our konga.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 handles crawl orchestration and retry logic. Playwright handles JavaScript rendering and interaction flows for Konga's dynamic frontend.
We maintain pools of Nigerian residential ISP proxies to bypass regional geo-blocks and ensure high success rates.
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 konga.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Konga is generally permissible. DataFlirt targets only public, non-authenticated product, pricing, and review data. We do not extract personal data or circumvent authentication walls. Clients should review Konga's ToS and consult legal counsel for specific use cases.
We use Nigerian residential ISP proxies and full Playwright browser sessions with realistic fingerprints. This ensures our requests appear as legitimate local traffic, preventing rate limits and IP bans.
Yes, all pricing data is extracted in Nigerian Naira (NGN) exactly as displayed on the platform, including Konga Bulk pricing tiers and flash sale discounts.
Real-time streaming pipelines achieve sub-60-minute latency for price and availability signals on a defined SKU set. Full catalogue refreshes complete within a 6-12 hour window.
Yes. We extract seller metrics including total successful sales, positive feedback percentage, return rates, and overall star ratings for every merchant on a listing.
Our smallest packages start at a defined SKU list or category URL set with weekly delivery. For larger catalogues, we price based on volume and delivery frequency.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off apparel catalogue dump or a continuous price-monitoring feed across 400K SKUs, we scope, build, and operate the pipeline. Tell us what you need.
