We extract product listings, pricing signals, seller profiles, category rankings, and promotional data from Ivory — Nigeria's growing e-commerce platform. 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 ivory.ng. All fields typed and schema-versioned.
"product_id": "IVR-48291037", "title": "Samsung Galaxy A55 5G 8GB/256GB Dual SIM", "brand": "Samsung", "price": 465000.00, "currency": "NGN", "original_price": 520000.00, "discount_pct": 11, "in_stock": true, "condition": "New", "rating": 4.5, "review_count": 312
| # | product_id | title | brand | category | sub_category | seller_id |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Promotions objects from ivory.ng. All fields typed and schema-versioned.
"product_id": "IVR-48291037", "price": 465000.00, "original_price": 520000.00, "discount_pct": 11, "promo_label": "Clearance Sale", "flash_sale_price": 440000.00, "flash_sale_end_time": "2026-05-14T23:59:00+01:00", "price_timestamp": "2026-05-12T10:00:00Z"
| # | product_id | price | original_price | discount_pct | discount_abs | promo_label |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Seller Profiles objects from ivory.ng. All fields typed and schema-versioned.
"seller_id": "techstore_lagos", "seller_name": "TechStore Lagos", "seller_rating": 4.7, "review_count": 1842, "verified_seller": true, "location": "Lagos, Nigeria", "active_listings_count": 847
| # | seller_id | seller_name | seller_rating | review_count | verified_seller | response_time |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from ivory.ng. All fields typed and schema-versioned.
"keyword": "samsung galaxy a55", "position": 1, "product_id": "IVR-48291037", "price": 465000.00, "currency": "NGN", "in_stock": true, "scraped_at": "2026-05-12T09:45:00Z"
| # | keyword | position | product_id | title | seller_name | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Ivory scraper covers Nigeria's emerging marketplace: NGN-denominated product pricing, seller verification intelligence, flash sale and promotion monitoring, and keyword ranking data — purpose-built for West African market research.
Title, brand, description, specifications, images, and every metadata field Ivory surfaces — scraped at product-ID level with NGN pricing preserved.
Capture Naira-denominated prices, original prices, discount percentages, flash sale windows, and promotion labels — timestamped per crawl.
Seller name, rating, verified status, location (city-level), response time, active listings count, and return policy — for every seller on the platform.
Extract product rankings across Ivory's primary and sub-categories. Track movement over time to identify trending products in the Nigerian market.
Full review text, star ratings, and review dates — paginated across all review pages for each product listing.
Monitor product position for any keyword on Ivory — capturing organic rank, in-stock status, and pricing in a single structured record.
Track flash sale prices, end times, and discount magnitudes — useful for competitor deal monitoring in the Nigerian consumer electronics and fashion markets.
Purpose-built for West African e-commerce intelligence — NGN pricing, Nigerian seller profiles, and Lagos-first category dynamics.
One-off catalogue exports or continuous pipelines at daily cadences with change-detection diffing.
Brief in. Clean data out.
Provide product IDs, category URLs, or keyword sets. We design the extraction schema and discuss NGN pricing normalisation needs.
We configure Scrapy / Playwright crawlers with Nigerian residential proxies, session management, and CAPTCHA handling for ivory.ng.
Schema validation, NGN price-outlier checks, seller rating null-rate audits, and sample records before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
West African web infrastructure has unique latency, bot-detection, and geo-authentication characteristics. Here's how we build reliable pipelines in this environment.
Ivory serves pricing and availability data that can vary by geographic location. Our pipeline uses Nigerian ISP residential proxies to ensure product data, pricing, and seller availability reflects what Nigerian consumers actually see on the platform.
Network latency and reliability characteristics in West Africa differ from Western markets. Our pipeline uses adaptive concurrency limits, extended timeout windows, and exponential retry logic to maintain high coverage rates despite variable network conditions.
All prices are captured and delivered in NGN as scraped. Optional daily FX conversion to USD, EUR, or GBP is applied as a post-processing step — enabling normalised price comparison for international market research teams.
Our selector strategy uses multiple fallback chains per field — CSS selectors, XPath, and structured data extraction — so page updates don't break your pipeline overnight.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, NGN price outliers, schema drift, and coverage drops — and respond before you notice.
International brands assessing the Nigerian e-commerce market use Ivory data to map category pricing in NGN, identify dominant sellers, and understand consumer product preferences.
Distributors and importers track NGN pricing on Ivory to calibrate landed cost models and monitor price erosion across consumer electronics, fashion, and home goods.
Local and regional sellers monitor competitor pricing strategies, promotional intensity, and seller rating trajectories on Ivory.
ML teams building African market e-commerce models use Ivory product datasets — titles, descriptions, and review text — as training data for Nigerian consumer NLP applications.
Investors evaluating the Nigerian digital commerce opportunity use Ivory category depth, seller count, and pricing data as market maturity proxies.
Brands entering West Africa monitor Ivory for counterfeit listings, grey-market imports, and unauthorised resellers operating on the platform.
"Nigeria is Africa's largest consumer market and its fastest-growing e-commerce economy — but reliable NGN-denominated product data from platforms like Ivory requires infrastructure built specifically for the West African web environment."
Most standard scraping stacks aren't calibrated for West African network conditions, geo-authentication requirements, or NGN price normalisation. DataFlirt builds pipelines that work reliably in this environment — so your Africa strategy team gets clean, consistent data without fighting the infrastructure.
Everything supported by our ivory.ng 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, deduplication, and retry logic. Playwright handles JavaScript rendering and cookie session management. Pipeline concurrency is tuned for West African network characteristics.
We maintain pools of Nigerian ISP residential proxies for geo-authentic access. Adaptive rotation and extended timeout logic ensure high coverage despite variable West African network conditions.
Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About ivory.ng scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available product, pricing, and review data from Ivory is generally permissible under applicable law — consistent with international precedents such as hiQ v. LinkedIn. DataFlirt targets only public, non-authenticated data. We do not extract personal data or circumvent authentication walls. We recommend clients review Ivory's ToS independently and consult legal counsel for their specific use case.
Yes. We have active pipelines running on West African e-commerce platforms and understand the specific challenges: Nigerian residential proxy requirements, variable network latency, NGN price handling, and platform-specific DOM structures. We scope Nigerian platform engagements with these factors built in.
Yes. All prices are captured in NGN as scraped. We apply daily USD/EUR/GBP FX conversion as a post-processing step on delivery — so international teams receive both the original NGN value and a normalised converted value in each record.
Our pipeline uses adaptive concurrency limits, extended timeout windows, and exponential retry logic with jitter — calibrated specifically for West African network conditions. Coverage rate targets are agreed in the SLA and monitored per run.
Our smallest packages start at a defined product or category set (typically 500–5,000 products) with weekly delivery. Given platform scale, Ivory engagements tend to be smaller in volume than Jumia or Konga programmes. Contact us with your use case for a scoped quote.
Yes. We operate pipelines across multiple Nigerian and West African e-commerce platforms — including Jumia, Konga, and Jiji — with a shared normalised schema. Multi-platform programmes allow cross-platform price and seller comparisons from a single data delivery.
Full catalogue refreshes at daily cadence complete within a 12–18 hour window depending on size. For smaller watchlists focused on price and availability signals, faster cadences are available.
Absolutely. We provide a sample run of up to 200 products as part of the pre-engagement scoping process — so you can validate schema fit, NGN pricing accuracy, and field completeness before signing any contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need Nigerian market pricing intelligence, a seller landscape map, or a flash sale monitor — we scope, build, and operate the pipeline.
