We extract product listings, pricing signals, flash deal windows, Official Store intelligence, reviews, and search rankings from Tokopedia. 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 tokopedia.com. All fields typed and schema-versioned.
"product_id": "883721049", "title": "Xiaomi Redmi Note 13 Pro 5G 8/256GB Smartphone", "brand": "Xiaomi", "price": 3499000, "currency": "IDR", "discount_pct": 18, "official_store_badge": true, "rating": 4.9, "review_count": 9203, "sold_count": 31400, "in_stock": true
| # | product_id | title | brand | shop_name | category | sub_category |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Promotions objects from tokopedia.com. All fields typed and schema-versioned.
"product_id": "883721049", "price": 3499000, "original_price": 4299000, "discount_pct": 18, "flash_deal_price": 3199000, "flash_deal_end": "2026-05-12T20:00:00+07:00", "flash_deal_stock": 47, "cashback_amount": 175000, "price_timestamp": "2026-05-12T11:22:00Z"
| # | product_id | price | original_price | discount_pct | flash_deal_price | flash_deal_start |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from tokopedia.com. All fields typed and schema-versioned.
"review_id": "tkp_rv_4421839", "product_id": "883721049", "star_rating": 5, "verified_purchase": true, "review_body": "Pengiriman cepat, barang original, performa mantap!", "helpful_votes": 112, "review_date": "2026-04-30", "shop_reply": true
| # | review_id | product_id | reviewer_name | verified_purchase | star_rating | review_body |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Shop Intelligence objects from tokopedia.com. All fields typed and schema-versioned.
"shop_id": "xiaomi-id-official", "shop_name": "Xiaomi Official Store", "official_store": true, "power_merchant": true, "shop_score": 98, "response_rate": 100, "ship_on_time_rate": 99, "follower_count": 2140000, "active_listings_count": 518
| # | shop_id | shop_name | shop_url | official_store | power_merchant | shop_score |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from tokopedia.com. All fields typed and schema-versioned.
"keyword": "smartphone 5g murah", "position": 2, "product_id": "883721049", "topads_sponsored": false, "official_store_badge": true, "price": 3499000, "scraped_at": "2026-05-12T11:22:18Z"
| # | keyword | position | product_id | title | price | rating |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Tokopedia scraper handles every layer of Indonesia's largest marketplace: product listings, flash deal pricing, Official Store intelligence, review corpus, and TopAds SERP rankings.
Title, specs, description, images, SKU variants, sold counts, condition, and every metadata field Tokopedia surfaces — scraped at product level with full variant mapping.
Capture flash deal prices, countdown windows, stock depth, cashback amounts, voucher codes, and free-shipping eligibility — timestamped per crawl.
Shop score, response rate, on-time shipping rate, follower count, Official Store and Power Merchant badge status — for every shop on the platform.
Full review text, star ratings, helpful votes, verified purchase flags, SKU reviewed, shop replies, and review images — paginated across all review pages.
Track organic vs TopAds sponsored position for any keyword across Tokopedia — with Official Store and free-shipping badge capture.
Parent product to child SKU relationships with full option matrix — colour, size, storage, and any custom attribute sellers configure.
Monitor Harbolnas (12.12), Tokopedia Birthday, and other mega-campaign price movements at the product level — with pre/during/post campaign snapshots.
Extract data from Tokopedia NOW (quick-commerce) listings — including express delivery eligibility, fulfilment hub, and same-day availability indicators.
Run one-off bulk exports or configure continuous pipelines at hourly, daily, or campaign-triggered cadences with change-detection diffing.
Brief in. Clean data out.
Provide product ID lists, category URLs, keyword sets, or shop IDs. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and anti-bot handling for Tokopedia.
Schema validation, null-rate checks, price-outlier detection, and sample reviews before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Tokopedia is Indonesia's most-visited marketplace with sophisticated bot defences. Here's how we stay resilient at scale.
Tokopedia's bot detection operates on TLS fingerprints, browser headers, and IP reputation. Our crawlers use Indonesian residential ISP proxies with realistic browser fingerprints, randomised request timing, and full cookie session management.
Tokopedia product pages, flash deal countdowns, and search results are heavily JavaScript-rendered via React. We run full Playwright sessions to capture price widgets, promotion overlays, and lazy-loaded review content that HTTP clients miss entirely.
Tokopedia frequently deploys frontend updates. Our selector strategy uses CSS selectors, XPath, and GraphQL API intercept as fallback layers — so a DOM change doesn't break your data pipeline overnight.
For large product catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs — reducing compute cost and storage bloat. You get a clean changelog rather than full re-dumps.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, price outliers, schema drift, and coverage drops — and respond before you notice. SLA uptime is contractual, not aspirational.
Brands and 3P sellers monitor pricing, flash deal windows, and competitor cashback promotions to reprice dynamically and protect margin across Indonesia.
Brands audit unauthorised resellers and MAP violations — protecting brand equity across Indonesia's fragmented seller landscape.
Analysts track sold-count velocity, new entrant launches, and category growth to identify whitespace and investment opportunities in Indonesia.
ML teams use Tokopedia datasets — including Bahasa Indonesia reviews — to train recommendation engines, sentiment models, and NLP classifiers.
Teams correlate Harbolnas and Tokopedia Birthday campaign price movements with sold-count spikes and revenue outcomes.
PE firms and analysts track category leaders, shop growth curves, and review velocity to evaluate performance in Indonesia's largest marketplace.
"Tokopedia is Indonesia's most data-rich marketplace — its 100M+ active buyers make it a goldmine for pricing signals and consumer demand intelligence."
Reliable Tokopedia scraping requires Indonesian residential proxies, Playwright rendering for React-heavy pages, GraphQL API intercept, and continuous selector maintenance. DataFlirt operates managed pipelines that absorb all of this complexity — delivering clean, schema-stable data on your cadence.
Everything supported by our tokopedia.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, deduplication, and retry logic. Playwright handles JavaScript rendering and cookie sessions. GraphQL API intercept layer provides a structured fallback for critical fields.
We maintain pools of Indonesian residential ISP proxies. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
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 tokopedia.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Tokopedia is generally permissible under applicable law in Indonesia — reinforced by precedents such as hiQ v. LinkedIn. DataFlirt targets only public, non-authenticated product, pricing, and review data. We do not extract personal data or circumvent authentication walls. We recommend clients review Tokopedia's ToS independently and consult legal counsel for specific use cases.
We use Indonesian residential ISP proxies, full Playwright browser sessions with realistic fingerprints, GraphQL API intercept for structured data, and request timing modelled on real user behaviour. Our selectors have multi-layer fallback chains so React frontend changes don't break the pipeline.
Yes. We run elevated-frequency crawls during Tokopedia mega-campaigns (Harbolnas 12.12, Tokopedia Birthday) to capture flash deal prices, countdown windows, stock depth, and cashback amounts at the product level — with pre/during/post campaign snapshots.
Yes. Reviews are extracted as-is in Bahasa Indonesia (or any language the buyer used). We do not translate by default, but can include a translated field via a post-processing step using a translation API if required.
Standard pipelines deliver daily refreshes. For price and availability monitoring on a defined product set, we offer sub-60-minute latency. Campaign windows can be monitored at 15-minute intervals on request.
Yes. We provide a sample run of up to 500 products or 50 search result pages as part of pre-engagement scoping — so you can validate schema fit, field completeness, and data quality before signing any contract.
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 across Indonesia's largest marketplace — we scope, build, and operate the pipeline. Tell us what you need.
