Map the assortment
Follow products and competing offers across agreed categories, searches and sellers.
All use casesLazada
LOCAL MARKETS. CLEARER COMPARISONS.
Lazada
product data.
Know the offer.
Keep the market in view.
Products, prices and seller signals, structured with the country and promotion context your analysis needs.
Separate price from promotion
Keep advertised prices, voucher terms and selected variations distinct.
Track changes over time
Compare dated snapshots with consistent market, query and delivery context.
A REAL RESPONSE, NOT A MOCK DATASET
One search page.
40 distinct listings.
A dated Indonesian search snapshot collected through 2Captcha, then parsed without AI. Search the records, inspect the JSON or download the full sample.
Indonesia / handphone snapshot
40 unique listings1 search pageIDR listed pricesDelivery not set
| Listing / location | Price shown |
|---|---|
| Rp 107.000 | |
| Rp 199.000 | |
| Rp 850.000 | |
| Rp 999.000 | |
| Rp 380.000 |
1-5 of 40
1 / 8
Observed on 10 October 2026 in Dhaka (9 October, 20:02 UTC). This is not a live feed or a complete category. Source titles and claims are retained as returned, not independently verified. SKU, seller identity, stock and star ratings remain unknown.
LOCAL CONTEXT IS PART OF THE DATA
Six markets.
Not one price list.
A useful comparison starts with the storefront, currency and offer context. Availability is assessed separately for each requested market.
- IDIndonesiaIDR
- MYMalaysiaMYR
- PHPhilippinesPHP
- SGSingaporeSGD
- THThailandTHB
- VNVietnamVND
Item & variation
Keep item and SKU identities separate. A price for one storage size or colour is not a price for every variation.
item_id != sku_idPrice & incentive
Preserve voucher wording and eligibility. A promotional label does not establish what every buyer will pay.
displayed_price != checkout_totalProduct & seller
Store reputation, product reviews and sold labels answer different questions. Missing values stay unknown.
review_count != sales_countTEST ACCESS. THEN DESIGN FOR VOLUME.
One response.
As much useful data
as it can support.
Start with the lowest-overhead route that produces validated records. Add browser work or detail visits only when the evidence requires them.
- 01 / FETCH
Check the page response
Inspect public HTML and embedded structured data. A successful HTTP status alone is not enough; product records must be present.
- 02 / PARSE
Extract once, validate once
Use a deterministic parser for accessible cards or JSON. Retain source URLs and timestamps without an AI call for every product.
- 03 / ENRICH
Spend requests selectively
Deduplicate by market and identity. Visit detail pages only for missing required fields, with agreed limits and failure handling.
What our access test showed 10 OCT 2026 / DHAKA
The reference guide demonstrates extracting product cards and JSON-LD from an Indonesian search page. That is HTML-derived data, not proof of an unrestricted JSON catalogue endpoint. We have not verified the guide's historical product records or internal collection method.
We tested the same handphone search URL. Direct HTTP and the 2Captcha raw-HTML request both returned 200, but no product cards or JSON-LD. The provider response contained an empty application root. No usable product dataset was verified by that request.
A second request using Markdown and waitFor: load returned populated content. We extracted 40 distinct listing IDs with displayed IDR prices, and preserved available promotion, review-count, sold and location labels. No AI extraction, login, custom proxy or separately requested CAPTCHA-solving service was used.
Our local browser showed a no-results state while the provider's rendered request returned listings. We cannot attribute the difference to one setting: output format, wait condition and session context differed. This verifies one rendered snapshot, not sustained access, six-country coverage or complete inventory. Seller APIs are a separate option for authorized seller data.
At the configured provider rate of $0.30 per 1,000 successful requests, the nominal request component is $0.0003 per page. This is not an end-to-end quote or a measured cost per product. Retries, browser sessions, parsing, optional AI and maintenance change total cost. Provider debug prices are not used for billing.
CHOOSE THE JOB YOU NEED DONE
Page research.
Or a maintained dataset.
Research across many websites is different from repeatedly collecting a marketplace at scale.
Scraping API
Accessible public pages across many domains, with optional AI analysis and classification.
- Your URLs, prompts and downstream logic
- Content-only collection without AI processing
- No login or CAPTCHA bypass
Managed Lazada data
A source-specific pipeline for agreed markets, records and refresh schedules.
- Source access and anti-bot feasibility assessment
- Parsing, identity matching and quality monitoring
- Agreed JSON, CSV or delivery API
Our custom work includes source-specific access engineering and maintenance. We assess permitted access and technical feasibility before promising scale. Compare total cost per usable record, not just the headline request price.
BEFORE THE FIRST DELIVERY
The details behind
a reliable dataset.
Market matching, voucher conditions, seller authorization and what a successful collection really means.
Can you compare the same product across Lazada markets?
Only after matching the product and its variation. Keep market, currency, model, capacity, colour and seller context in the record. Do not assume an item ID is a cross-country product key. Native prices stay in their original currency; any conversion should carry its own exchange rate and timestamp. Coverage is tested per market, not inferred from a successful request in another country.
How do vouchers and campaign prices affect comparisons?
A displayed amount, crossed-out price and voucher message are different fields. Voucher eligibility may depend on spend, account, payment method or campaign period. We preserve observed wording and visible conditions rather than subtracting an advertised discount automatically. Shipping and selected options are separate from the listing price.
What is the difference between an item ID and a SKU?
An item identifies a product listing; a SKU identifies a particular sellable variation when that identity is exposed. A listing with different storage sizes or colours may have multiple offers. Search cards do not establish the complete variation set. We agree whether the job needs listing-level snapshots or extra detail visits for individual SKUs.
Do sold labels or review counts establish demand?
They are source-published signals, not audited transaction data. Keep the exact sold label and any stated time window. Reviews are not sales, and a rounded sales label should not be converted into a precise count. Product metrics and store-level ratings are stored separately; unclear scope remains unknown.
Can Lazada Open Platform provide competitor product data?
Do not assume seller APIs are a public competitor catalogue. Lazada documents seller authorization and access tokens for accessing sellers' business data. Approved app permissions and endpoint scope must be checked for your use case. For an authorized seller's own catalogue, evaluate that route first. This page does not claim an existing Open Platform integration.
Does HTTP 200 mean a collection succeeded?
No. It can be an application shell, challenge or page without product records. Accept a collection only after checking provider status, target status, expected content and validated records. Our raw-HTML test had no product cards; a separate rendered-Markdown request produced 40 validated listing records. A failed extraction is not evidence that a category is empty or an item is out of stock.
Will your Scraping API return these JSON records automatically?
No. The sample was parsed from a collected page with a source-specific extractor; it is not a built-in Lazada endpoint. The self-service API collects accessible public content and offers optional AI analysis. A repeatable Lazada dataset needs parsing, validation and maintenance. This sample used deterministic parsing without an AI extraction call.
How do you scope recurring coverage and cost?
Agree markets, queries or categories, pagination, required fields and refresh frequency. Deduplicate before detail enrichment, keep retries bounded and monitor record counts and missing fields. Estimate cost per usable record, including access and maintenance. One successful page does not prove full catalogue coverage, and custom work is not automatically cheaper for every brief.
YOUR MARKET. YOUR COLLECTION BRIEF.
Start with the products
you need to understand.
Share representative Lazada URLs and the fields you need. We'll assess access and agree a useful sample before scaling.
- Country storefront and delivery context
- Categories, searches or selected sellers
- Required fields, volume and refresh schedule
Projects are accepted individually, subject to feasibility and available capacity. An enquiry does not reserve a solution or confirm delivery. Pricing and terms are agreed directly with our team.
A real person reviews your request. This form does not start a paid collection.
ScrapingBuddy is independent and is not affiliated with or endorsed by Lazada. Scope and permitted use are assessed per project. Hero artwork is illustrative. Sample records are dated observations, not live prices, verified product claims or a guarantee of future access.