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Tokopedia Product Scraper
Scrape product listings from Tokopedia.com — Indonesia's largest e-commerce marketplace. Extract prices, ratings, reviews, seller info, discounts, categories, and more via fast HTTP-only GraphQL API. No browser needed. Supports parallel scraping, filters, and pagination up to 60,000+ products.
What the actor scrapes
🛒 Tokopedia Scraper — Indonesia E-Commerce Product Data Scrape product listings from Tokopedia.com, Indonesia's largest online marketplace with 100M+ monthly visitors. This Apify Actor extracts structured product data — prices, discounts, ratings, reviews, seller information, categories, badges, and shipping labels — directly from Tokopedia's product search API. Fast HTTP-only scraping, no browser needed, with 25+ fields per product. If you need bulk Tokopedia product data for price mo
Who this is for
This sample is useful for anyone working in ecommerce, business who wants a quick look at the shape of the data before running the live actor at scale. Treat it as a static snapshot — counts, prices and timestamps reflect the moment the sample was captured and will drift over time.
Source
Live source: This dataset is a static sample. For fresh, customizable extractions, run the live Apify actor: logiover/tokopedia-product-scraper
Fields
No sample rows available for this snapshot — field list will appear once a fresh run is captured.
Sample preview
Sample data pending — actor functional but no sample harvested for this snapshot. Run the live actor on Apify to generate output: https://apify.com/logiover/tokopedia-product-scraper
Snapshot stats
- Row count in this sample: 0
- Data quality flag at capture time:
FRESH_RUN_FAILED
License & Attribution
Released under Creative Commons Attribution 4.0 (CC BY 4.0). If you use this data, please credit the source actor and link back to its Apify Store page: logiover/tokopedia-product-scraper.
The sample is provided as-is for evaluation and research. Source websites retain their own terms of service — downstream users are responsible for complying with them when running the live actor or redistributing scraped content.
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