Tokopedia Scraper · Products, Shops & Reviews

Turn Tokopedia keywords, search results, category pages, shop catalogues or product links into clean product rows: IDR prices, discounts, sold counts, ratings, every variant with its own price and stock, reviews and seller stats. No login, no cookies, no browser.

Schedule it in monitor mode and each run returns only new products and price moves, so you pay for changes instead of the whole catalogue again. Switch to one row per review to collect a product's or a whole shop's reviews, or to one row per shop to find sellers. Leave the input empty and it returns Tokopedia's best sellers across every category.

Input	Rows you get
Keyword (keywords)	Products from Tokopedia search, with Tokopedia's own filters applied
Search URL (/search?q=…)	The same results you see in the browser, filters kept
Category URL (/p/…)	Products in that category
Shop URL (/shop-name, /product, /etalase/…)	The shop's catalogue; add includeShopInfo for the shop's stats
Product URL (/shop-name/product-name) or bare product id	One product with full details, plus the products Tokopedia recommends with it if you ask
Recommendation page (/rekomendasi/<id>) or the home page	The products in Tokopedia's recommendation widgets or "for you" feed
Nothing at all	Popular products: the home feed plus the best sellers of every top-level category
Keyword or shop URL with outputMode: "shops"	One row per shop: followers, products, items sold, transactions, rating

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Why Use This Scraper?

• ✅ Every Tokopedia entry point in one run: keywords, search URLs, category pages, shop catalogues and product links
• ✅ Tokopedia's own filters: price range, 4 stars and up, Official Store or Power Shop, COD, discounts, condition, seller location and listing date
• ✅ Full product pages on demand: description, brand and full specifications, all images, wishlist count, free-shipping flag, and every variant SKU with its own price, stock and link
• ✅ Exact sold counts and per-star rating breakdowns, not only the rounded "10 rb+ terjual" badge
• ✅ Written reviews nested in each product, or one row per review for a product or a whole shop, sorted and filtered your way (newest, most helpful, 1 and 2 stars only, with photos)
• ✅ Monitor mode with an optional webhook: new products, price drops, discount changes, stock and sales moves, removed listings
• ✅ Shop search: one row per seller with followers, active products, items sold, transactions and rating breakdown
• ✅ Recommended products for any product (more from the shop, other choices, brands for you), and a no-keyword mode for Tokopedia's best sellers
• ✅ Image links that keep working: Tokopedia's own links expire within hours, this actor returns permanent ones, and can save images and videos to storage
• ✅ Export to Notion, Airtable, Linear or Slack through Apify MCP connectors, with no API keys in the input
• ✅ TikTok Shop product, SKU and seller IDs on every row, for joining Tokopedia with TikTok Shop data

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Overview

The Tokopedia Scraper is built for price-monitoring teams, brands watching their resellers, marketplace sellers researching competitors and analysts sizing categories on Indonesia's largest marketplace.

By default the dataset is one row per product. A shop URL, a category page and a keyword all end up as product rows; the shop's own numbers travel with each product as shop… columns, and reviews are nested inside the product they belong to. outputMode switches to one row per review or one row per shop. Error rows (a URL that is not a Tokopedia page, a product that no longer exists) are separate, carry an error field and are never charged.

Listing rows come from Tokopedia's search API and are fast: about 200 products per request. Turn on full details when you need specifications, variants, stock or exact sold counts; those are read from the product page, six products per request.

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Supported Inputs

URL types

Type	Example
Search results	https://www.tokopedia.com/search?q=sepatu&pmin=100000&ob=3
Keyword landing page	https://www.tokopedia.com/find/sepatu-pria
Category	https://www.tokopedia.com/p/fashion-pria/sepatu-pria/pantofel-pria
Shop	https://www.tokopedia.com/tomkinsofficial
Shop tab or showcase	https://www.tokopedia.com/tomkinsofficial/product, …/etalase/sneakers
Product	https://www.tokopedia.com/tomkinsofficial/tomkins-hamnet-black-white-sepatu-sneakers-pria-1733389550990952357
Product id	11869486942
Shop search	https://www.tokopedia.com/search?st=shop&q=sepatu
Recommendations for a product	https://www.tokopedia.com/rekomendasi/11869486942
Home page feed	https://www.tokopedia.com/
Share link	https://tk.tokopedia.com/…, https://vt.tokopedia.com/…

m.tokopedia.com links work too. Tracking parameters such as extParam are ignored.

Copy-pasteable startUrls

{
  "startUrls": [
    "https://www.tokopedia.com/search?q=tas%20wanita&pmin=100000&pmax=300000",
    "https://www.tokopedia.com/p/fashion-pria/sepatu-pria",
    "https://www.tokopedia.com/tomkinsofficial"
  ]
}

Keyword mode

{ "keywords": ["sepatu", "laptop gaming", "skincare"], "maxItemsPerSource": 200, "maxItems": 600 }

Each keyword is its own search; maxItemsPerSource gives every keyword the same share of maxItems. Indonesian terms return the most products.

Unsupported inputs

• Pages behind a login: cart, orders, chat, wishlist, seller center
• Tokopedia Play, promo and help pages
• TikTok Shop URLs (use the TikTok Shop IDs in the output to join the two)
• Digital goods (pulsa, BPJS, insurance, game vouchers): Tokopedia sends those searches to its own digital pages, which list no marketplace products

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Use Cases

Who	What they do with it
Brands and distributors	Track resellers, spot unauthorised sellers and price breaks across Official and regular stores
Price-monitoring teams	Schedule monitor mode on key products and get price drops through a webhook
Marketplace sellers	Benchmark competitors' prices, variants, sold counts and ratings
Category and market analysts	Size categories by sold counts and rating volume, city by city
Product and catalogue teams	Pull specifications, variant SKUs and images for feeds and PIM
Researchers	Collect written reviews with ratings, variant and date for sentiment work

---

How It Works

1. Every keyword and URL is classified as a search, category, shop or product.
2. Searches and categories are read from Tokopedia's search API, about 200 products per request, with Tokopedia applying your filters.
3. Shop catalogues are read 80 products per page.
4. With full details on, product pages are read six at a time: description, specifications, variants, stock, exact sold count and rating breakdown. Reviews and shop stats are added when asked for.
5. Products are de-duplicated across all inputs and pushed as they are ready. In monitor mode each product is compared with the previous run first and only new or changed ones are pushed.
6. Shop searches read Tokopedia's shop tab, 60 shops per request, and look each shop up for its stats. Recommendations and the home feed come from the same widgets the website shows.
7. At the end of the run, the rows can go to Notion, Airtable, Linear or Slack through the Apify MCP connectors you picked.

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Input Configuration

Input fields

Field	Type	Default	Description
outputMode	string	products	products: one row per product. reviews: one row per written review; a shop URL gives the shop's reviews. shops: one row per shop
keywords	array		Searches, one per line, as typed in Tokopedia's search bar. Empty keywords and URLs: popular products
startUrls	array		Search, shop-search, category, shop, product, recommendation and home page URLs, share links and bare product ids, in any mix
scrapeDetails	boolean	false	Read each product page for description, specifications, images, variants, stock, exact sold count and rating breakdown
maxReviewsPerProduct	integer	0	Written reviews to attach to each product (0 = off, max 1000)
reviewSort	string	newest	newest, most_helpful, highest_rating, lowest_rating
reviewStars	array		Only reviews with these star ratings, e.g. ["1","2"]
reviewsWithMediaOnly	boolean	false	Only reviews with buyer photos or videos
includeShopInfo	boolean	false	Add followers, active products, transactions, open-since date and shop rating to every row
includeRecommendations	boolean	false	For product URLs and ids: also the products Tokopedia recommends on that product's page
includeRawData	boolean	false	Add Tokopedia's unprocessed response under raw
downloadMedia	string	none	none, images, images-and-videos: save the files to the run's key-value store, listed in mediaFiles
maxMediaPerProduct	integer	10	Images saved per product
sortBy	string	relevance	relevance, reviews (best sellers first), newest, price_high, price_low
minPrice / maxPrice	integer		Price range in rupiah
ratingFourPlus	boolean	false	Only products rated 4 stars and up
condition	string	any	any, new, used
shopType	string	any	any, official_store, power_shop
codOnly	boolean	false	Only products that can be paid cash on delivery
discountedOnly	boolean	false	Only discounted products
freeShippingOnly	boolean	false	Tokopedia's Bebas Ongkir filter; product pages are checked again when details are on
deliveryType	string	any	any, instant, same_day
minRating	string	0	0, 3, 3.5, 4, 4.5, 4.8: drops products rated lower (applied after the search)
stockType	string	any	any, ready_stock, preorder
listedWithinDays	string	any	any, 7, 14, 30, 90
locations	array		Seller areas: Jakarta, Jabodetabek, Bandung, Medan, Surabaya or any province
cityIds	string		Tokopedia city ids (fcity) for cities not in the list, comma separated
categoryId	string		Narrow keyword searches to one category id (sc)
convertToCurrency	string	none	Also give prices in USD, EUR, GBP, SGD, MYR, AUD, JPY, CNY, KRW, HKD, INR, THB, PHP, CAD or CHF
monitorMode	string	off	off, price-changes, all-changes, new-only
monitorName	string		Baseline name for monitor mode; made from your inputs when empty
emitRemoved	boolean	false	In monitor mode, one removed row per tracked product a complete run no longer finds
webhookUrl	string		Receives the changed products as JSON after each monitor run
exportConnectors	array		Apify MCP connectors (Notion, Airtable, Linear, Slack) to send the rows to
exportNotionParentPage	string		Notion page URL or id the new pages go under
exportAirtableBase / exportAirtableTable	string		Airtable base and table, by id or exact name
exportLinearTeam	string		Linear team for the issues
exportSlackChannel	string		Slack channel id for the run summary
maxExportItems	integer	50	Rows sent to each app per run
maxItems	integer	100	Products to collect across all keywords and URLs (review rows or shop rows in those modes)
maxItemsPerSource	integer		Optional cap per keyword or URL
maxConcurrency	integer	10	Requests in flight at once (1 to 30)
proxyConfiguration	object	Apify Proxy	The default datacenter proxy works for Tokopedia

Filters apply to keywords and category pages. A pasted search URL keeps its own filters, and the input filters only fill in the ones the URL leaves unset. Shop catalogues, recommendations and the home feed take minPrice, maxPrice and minRating (applied to each product); shop catalogues also take sortBy: "reviews" (best sellers first). Shop search takes locations, cityIds and shopType.

Common scenarios

Search with Tokopedia's filters

{
  "keywords": ["iphone 15"],
  "shopType": "official_store",
  "minPrice": 10000000,
  "ratingFourPlus": true,
  "sortBy": "price_low",
  "maxItems": 200
}

Full details, reviews and seller stats for a shop

{
  "startUrls": ["https://www.tokopedia.com/tomkinsofficial"],
  "scrapeDetails": true,
  "maxReviewsPerProduct": 20,
  "includeShopInfo": true,
  "maxItems": 100
}

Complaints from one product's reviews

{
  "startUrls": ["https://www.tokopedia.com/tomkinsofficial/tomkins-hamnet-black-white-sepatu-sneakers-pria-1733389550990952357"],
  "maxReviewsPerProduct": 200,
  "reviewSort": "lowest_rating",
  "reviewStars": ["1", "2"]
}

A shop's reviews, one row each, lowest rating first

{
  "outputMode": "reviews",
  "startUrls": ["https://www.tokopedia.com/tomkinsofficial"],
  "reviewSort": "lowest_rating",
  "maxItems": 500
}

Daily price monitor with a webhook

{
  "startUrls": ["https://www.tokopedia.com/p/handphone-tablet/handphone"],
  "monitorMode": "price-changes",
  "monitorName": "phones-daily",
  "webhookUrl": "https://hooks.example.com/tokopedia",
  "maxItems": 2000
}

Schedule the monitor input in Apify and keep monitorName the same on every run.

Find sellers: Official Stores selling shoes in Jakarta

{
  "outputMode": "shops",
  "keywords": ["sepatu"],
  "shopType": "official_store",
  "locations": ["DKI Jakarta"],
  "maxItems": 100
}

Best sellers across Tokopedia, no keyword

{ "maxItems": 500, "maxItemsPerSource": 20, "scrapeDetails": true }

Leave keywords and URLs empty: the run reads the home page feed and the best sellers of 25 top-level categories (or only the category in categoryId).

A product and everything Tokopedia recommends with it, images saved

{
  "startUrls": ["https://www.tokopedia.com/tomkinsofficial/tomkins-hamnet-black-white-sepatu-sneakers-pria-1733389550990952357"],
  "includeRecommendations": true,
  "maxItemsPerSource": 30,
  "downloadMedia": "images"
}

Weekly price drops into Notion

{
  "keywords": ["iphone 15"],
  "monitorMode": "price-changes",
  "monitorName": "iphone-weekly",
  "exportConnectors": ["<your Notion connector>"],
  "exportNotionParentPage": "https://www.notion.so/Price-watch-1a2b3c4d5e6f7a8b9c0d1e2f3a4b5c6d"
}

Authorize Notion once under Settings > API & Integrations > MCP connectors in Apify Console, then pick it in the input. Airtable works the same way: name your table's columns like the output fields (productName, price, soldCount, productUrl…) and those columns are filled.

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Output Overview

Each row is one product and has up to five groups of fields:

• Listing: ids, name, URL, price, original price, discount, rating, sold count, image, category, seller name, city and type, badges, whether it is an ad, and where it was found (keyword, page, position)

• Details (scrapeDetails, or any product URL): description, specifications, images, videos, condition, weight, order limits, stock, rating count and per-star breakdown, review topics, COD, pre-order, wholesale tiers, flash-sale campaign, category tree, creation date, variant groups and every variant SKU

• Reviews (maxReviewsPerProduct above 0): written reviews in the order and with the filters you chose, plus writtenReviewCount

• Converted prices (convertToCurrency): convertedPrice and convertedOriginalPrice in your currency, with the rate and its date

• Seller stats (includeShopInfo): followers, active products, items sold, transactions, open-since date, location, shop rating and breakdown

• Monitor (monitorMode): changeType, changedFields, previous values and the price difference

• Recommendations (includeRecommendations, /rekomendasi/ URLs): recommendationWidget, recommendationType and recommendedForProductId on each recommended product

• Media (downloadMedia): mediaFiles, each with the saved file's download URL, key and size

• Raw data (includeRawData): Tokopedia's unprocessed listing card and product page responses under raw

In review-rows mode (outputMode: "reviews") every row is one written review instead: stars, text, variant bought, date, reviewer, photos, likes, seller reply and Tokopedia's low-rating reason, plus the product it belongs to (id, name, URL, price, rating) and the shop.

In shop mode (outputMode: "shops") every row is one shop: name, URL, location, Official Store and Power Merchant flags, followers, active products, items sold, transactions, open-since date, rating with its breakdown, and up to three of its products as the search shows them.

Image links in every row are permanent. Tokopedia's own image links are signed and stop working within hours; the actor rewrites them to the same files on an unsigned address.

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Output Samples

Real row from a keyword search for sepatu with sortBy: "reviews", scrapeDetails, maxReviewsPerProduct: 2 and includeShopInfo, scraped 2026-09-24. Long lists are cut to one or two entries.

{
  "productId": "100070724287",
  "parentId": "100070724279",
  "productName": "PVN Taeri Sepatu Sneakers Olahraga Wanita Sport Shoes blue Grey 265",
  "productUrl": "https://www.tokopedia.com/pavillionshoes/pvn-taeri-sepatu-sneakers-olahraga-wanita-sport-shoes-blue-grey-265-1730635635437963091",
  "price": 187181,
  "originalPrice": 499900,
  "discountPercentage": 63,
  "currency": "IDR",
  "rating": 4.9,
  "soldCount": 296248,
  "categoryName": "Sneakers Wanita",
  "shopName": "pvnshoes",
  "shopCity": "Tangerang",
  "shopType": "official_store",
  "ttsProductId": "1729435508359596883",
  "source": "search",
  "searchKeyword": "sepatu",
  "position": 1,
  "specifications": [{ "name": "Kondisi", "value": "Baru" }, { "name": "Kategori", "value": "Sneakers Wanita" }],
  "condition": "new",
  "weightGrams": 1000,
  "stock": 189,
  "ratingCount": 40092,
  "ratingBreakdown": { "1": 177, "2": 107, "3": 370, "4": 3092, "5": 36346 },
  "isCod": true,
  "campaign": { "name": "Spesial Diskon", "originalPrice": 499900, "discountedPrice": 187181, "endsAt": "2026-09-30T16:59:59.000Z" },
  "variantSkus": [
    { "productId": "100070724280", "options": ["Pink", "36(1)"], "price": 187181, "originalPrice": 499900, "stock": 0, "ttsSkuId": "1730635635437897555" }
  ],
  "writtenReviewCount": 10000,
  "reviews": [
    { "reviewId": "2318519907", "rating": 5, "text": "Bentuk dan ukuran: Pas", "variantName": "White - 40(5)", "createdAt": "2026-09-24T15:24:54.000Z", "isAnonymous": true }
  ],
  "shopFollowers": 73165,
  "shopOpenSince": "May 2021",
  "shopRating": 4.9,
  "shopRatingCount": 174923
}

Review-rows mode row from a shop URL (outputMode: "reviews", reviewSort: "lowest_rating", real run):

{
  "reviewId": "702618568",
  "rating": 1,
  "text": "minta ukuran 39 dikasih 33 padahal sudah dichat.. diretur ongkir harus 2x pembeli yg bayar... lo biaya 1 x pengiriman gpp sih. makasih.",
  "variantName": "33",
  "createdAtText": "Lebih dari 1 tahun lalu",
  "createdAtApprox": "2025-09-25",
  "reviewerName": "Daedi",
  "sellerResponse": "Terima kasih banyak telah berbelanja di Tomkins Official.\nkami kirimkan sesuai varian/size yang dipilih ya kak\nterimakasih",
  "badRatingReason": "Kendala: Pelayanan penjual kurang",
  "productId": "2436506346",
  "productName": "TOMKINS Primal Alpha - Hitam Putih Sneakers Wanita Sepatu Olahraga",
  "productUrl": "https://www.tokopedia.com/tomkinsofficial/tomkins-primal-alpha-hitam-putih-sneakers-wanita-sepatu-olahraga",
  "shopName": "TOMKINS",
  "source": "shop"
}

Shop mode row from a shop search for laptop (real run, 2026-10-01, sample products cut to one):

{
  "shopId": "13796999",
  "ttsShopId": "7495481796825615202",
  "shopName": "Technovo Laptop Shop",
  "shopUrl": "https://www.tokopedia.com/technovo-laptop-shop",
  "shopLocation": "Jakarta Utara",
  "shopIsOfficial": false,
  "shopIsPowerMerchant": true,
  "shopFollowers": 5064,
  "shopActiveProducts": 9,
  "shopTotalSold": 2712,
  "shopTotalTransactions": 2020,
  "shopOpenSince": "December 2023",
  "shopIsOpen": true,
  "shopRating": 4.9,
  "shopRatingCount": 1301,
  "shopRatingBreakdown": { "1": 19, "2": 12, "3": 17, "4": 44, "5": 1209 },
  "sampleProducts": [
    { "productId": "100514856115", "productName": "Mouse usb for laptop wirless", "price": 29999 }
  ],
  "source": "shop-search",
  "searchKeyword": "laptop",
  "position": 17
}

Monitor mode row: the same kind of product row plus these fields (real run, price-changes):

{
  "productId": "1523827550",
  "price": 25900,
  "changeType": "price-drop",
  "changedFields": ["price"],
  "previousPrice": 50900,
  "priceDelta": -25000,
  "priceDeltaPercentage": -49.12,
  "firstSeenAt": "2026-09-24T20:13:38.009Z",
  "previousSeenAt": "2026-09-24T20:13:39.937Z"
}

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Key Output Fields

Product

productId, parentId, productName, productUrl, appLink, brand, condition, status, createdAt, description, specifications, imageUrl, images, videoUrl, videos, videosExpireAt, mediaFiles, weightGrams, wishlistCount, raw

Price and stock

price, priceText, originalPrice, discountPercentage, currency, convertedPrice, convertedOriginalPrice, convertedCurrency, exchangeRate, exchangeRateDate, stock, minOrder, maxOrder, wholesale, campaign, cashbackPercentage, isPreorder, preorderDays, isCod, hasFreeShipping, shippingFromPrice, shippingEstimateText

Variants

variantGroups (each option with stock and image), variantSkus (each SKU with its own price, original price, discount, stock, order limits, URL, image and TikTok Shop SKU id)

Demand and ratings

soldCount, soldCountText, rating, ratingCount, ratingBreakdown, satisfactionText, reviewTopics, writtenReviewCount, reviews (each with rating, text, variantName, createdAt, images, videos, likeCount, sellerResponse, badRatingReason)

Seller

shopId, shopName, shopDomain, shopUrl, shopCity, shopType, isOfficialStore, isPowerMerchant, shopFollowers, shopActiveProducts, shopTotalSold, shopTotalTransactions, shopShowcaseCount, shopOpenSince, shopLocation, shopIsOpen, shopRating, shopRatingCount, shopRatingBreakdown

Category

categoryId, categoryName, categoryPath, categoryTree, ttsCategoryId

Where it was found

source (search, category, shop, product-url, recommendation, home-feed, shop-search), searchKeyword, sourceUrl, page, position, isAd, labels, scrapedAt, and for recommendations recommendationWidget, recommendationType, recommendedForProductId

TikTok Shop IDs

ttsProductId, ttsSkuId, ttsShopId, ttsCategoryId

Review rows (outputMode: "reviews")

reviewId, rating, text, variantName, createdAt (product reviews), createdAtText and createdAtApprox (shop reviews), reviewerName, isAnonymous, images, videos, likeCount, sellerResponse, badRatingReason, productId, productName, productUrl, productPrice, productRating, writtenReviewCount, shopId, shopName, shopDomain

Shop rows (outputMode: "shops")

shopId, ttsShopId, shopName, shopDomain, shopUrl, shopLocation, shopTagline, shopDescription, shopIsOfficial, shopIsPowerMerchant, shopIsPowerMerchantPro, shopAvatarUrl, shopFollowers, shopActiveProducts, shopTotalSold, shopTotalTransactions, shopShowcaseCount, shopOpenSince, shopIsOpen, shopRating, shopRatingCount, shopRatingBreakdown, hasFreeShippingVoucher, cashbackVoucher, sampleProducts

Monitor

changeType (new, price-drop, price-increase, discount-change, out-of-stock, back-in-stock, sales-change, rating-change, removed), changedFields, previousPrice, previousOriginalPrice, priceDelta, priceDeltaPercentage, previousStock, previousSoldCount, soldDelta, previousRatingCount, firstSeenAt, previousSeenAt

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FAQ

Which Tokopedia URLs are supported?

Search results, /find/ keyword pages, category pages (/p/…), shops and their tabs, and product pages. Login pages, Tokopedia Play, promo pages and app share links are not; see Supported Inputs.

I pasted a shop URL. Why do I get product rows?

By default a shop URL gives its catalogue as product rows, and with includeShopInfo on, each row also carries the shop's followers, transactions and rating. Set outputMode to shops for one row with the shop itself, or to reviews for the shop's reviews.

Can I search for shops instead of products?

Yes. With outputMode: "shops", keywords search Tokopedia's shop tab (the same as search?st=shop&q=…), and shop or product URLs give that shop. Each shop row is billed at the product price. locations, cityIds and shopType narrow the search.

What happens if I give no keyword and no URL?

The run takes popular products: the home page's "for you" feed and the best sellers (most reviewed first) of 25 top-level categories, an even share from each unless maxItemsPerSource says otherwise. Put a category id in categoryId to take the best sellers of that one category instead.

Do the image links expire?

Not the ones this actor returns. Tokopedia signs its image links and they stop working within hours (an expired one answers 403); the actor rewrites them to the same files on an address that needs no signature. Product video links from product pages do expire: videosExpireAt says when. Turn on downloadMedia to keep the files themselves.

How does export to Notion, Airtable, Linear or Slack work?

Through Apify MCP connectors. You authorize the app once in Apify Console, pick the connector in exportConnectors, and the run sends its rows at the end: one Notion page per row (title, image, price, rating, link) under the page you name, one Airtable record per row in the columns whose names match output fields, one Linear issue per row, or one Slack summary message. The actor never sees your app credentials. maxExportItems caps how many rows go out, and EXPORT_REPORT in the run's key-value store lists what each app received. Slack's MCP server only accepts registered Slack apps, so it works only if your workspace allows it.

Why does soldCount differ between runs with and without details?

Search results only show a rounded badge such as "100 rb+", which becomes 100000. The product page has the exact count (296248 in the sample above), so rows with details carry the exact number and soldCountText keeps Tokopedia's own label.

Why are there fewer reviews than ratings?

Many buyers leave stars without text. ratingCount counts every rating; reviews holds written reviews only, and writtenReviewCount says how many exist that match your review filters. Tokopedia reports at most 10,000 written reviews per product.

How many products can one search return?

Tokopedia serves up to 6,000 results per search, filter or category. For more, split the search by price range, seller location or category and put each part in its own keyword or URL.

Is there a best-selling sort?

Tokopedia no longer offers one. sortBy: "reviews" sorts by review volume, which puts the best sellers first: the top ten products for "sepatu" on that sort each showed "100 rb+" sold.

How does monitor mode charge?

The first run returns every product and saves them as the baseline. Later runs with the same monitorName return only new products and products whose watched fields changed. Unchanged products are not pushed and not charged. price-changes watches price and original price; all-changes also watches stock status, sold count and rating count, and needs scrapeDetails for stock and exact sales.

Can I get one row per review, or all of a shop's reviews?

Yes. Set outputMode to reviews. Keywords, categories and product URLs give each product's reviews as separate rows, with the product's id, name, URL, price and rating on every row; a shop URL gives the shop's reviews across all its products. maxItems then counts review rows, and each row is billed as one review.

Why do shop reviews have an approximate date?

Tokopedia shows shop reviews with relative times only ("2 bulan lalu", "Lebih dari 1 tahun lalu"). Each row keeps that text in createdAtText and a date worked out from it in createdAtApprox. Product reviews have the exact createdAt. Some older shop reviews also come without a product URL.

What does "removed" mean in monitor mode?

With emitRemoved on, a product that an earlier run found and this run no longer finds gets one removed row: it was delisted, dropped out of the results, or no longer matches your filters. Removals are only reported by runs that read every keyword and URL to the end, so a run stopped by maxItems, a per-source cap or Tokopedia's 6,000-result limit reports none.

Where do converted prices come from?

From the European Central Bank's daily reference rates (via frankfurter.dev), fetched once per run. The rupiah price always stays in price; if the rate cannot be fetched, the run continues without converted fields.

Is there a free-shipping filter?

Yes, freeShippingOnly. Tokopedia dropped it from its filter menu but the search still applies it. With scrapeDetails on, each product page is checked too and products without free shipping are dropped and not billed. Most products ship free now, so the filter trims few results. The delivery-speed filter (deliveryType) is there as well.

Do I need residential proxies?

No. The default Apify datacenter proxy works for Tokopedia's API, and runs recover from blocked requests by switching IP. Switch to RESIDENTIAL only if you see many retries in the log.

Can it scrape data behind a login?

No. It reads the public data any visitor sees: products, prices, public reviews and shop pages. Buyer accounts, orders, chats and seller dashboards are out of scope.

What are the TikTok Shop IDs for?

Tokopedia merged with TikTok Shop Indonesia in 2024, and Tokopedia's own API returns a TikTok Shop id for every product, SKU and seller. Use them to match Tokopedia listings with TikTok Shop data.

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Support

Found a bug or need a field that is not there? Open an issue on the actor's Issues tab.

Email: muhamed.didovic@gmail.com

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Additional Services

Need a custom scraper, a tailored export, or an integration into your own pipeline? Custom builds are available: muhamed.didovic@gmail.com.

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Browse the full collection at apify.com/memo23.

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🤖 For AI Agents & LLM Apps

Compact reference for AI agents calling this actor via the Apify MCP server or the Apify API (actor: memo23/tokopedia-scraper).

Purpose: Public Tokopedia (Indonesia) product rows from keywords or search, category, shop and product URLs, with optional full details, reviews, seller stats and run-over-run change monitoring; or one row per review or per shop. No login.

Minimal input:

{ "keywords": ["sepatu"], "maxItems": 20 }

Output: one dataset row per product: productId, productName, productUrl, price, originalPrice, discountPercentage, currency (IDR), rating, soldCount, imageUrl, categoryName, shopName, shopDomain, shopCity, shopType, ttsProductId, source, searchKeyword, position. With scrapeDetails: description, specifications, images, stock, ratingCount, ratingBreakdown, variantSkus [{productId, options, price, stock}], campaign. With maxReviewsPerProduct: reviews [{rating, text, variantName, createdAt}], writtenReviewCount. Failed inputs return {error, errorKind, message, url}.

Behaviors an agent should know:

• Always set maxItems; it counts products across all keywords and URLs. One search stops at 6,000 results.
• Product URLs always return full details. For other inputs set scrapeDetails: true when stock, variants or exact sold counts are needed.
• Filters (minPrice, shopType, locations…) apply to keywords and categories; a pasted search URL keeps its own.
• Monitor mode (monitorMode, monitorName) keeps a baseline in a named key-value store in the caller's account and returns only new or changed products after the first run; emitRemoved adds removed rows after complete runs.
• Reviews: reviewSort (newest, most_helpful, highest_rating, lowest_rating), reviewStars (e.g. ["1","2"]), reviewsWithMediaOnly. outputMode: "reviews" returns one row per review instead of product rows (a shop URL gives the shop's reviews) and maxItems counts reviews.
• Billing: product per delivered product or shop row, product-detail per row with full details, review per attached review or review row. Error rows and unchanged monitor products are free.
• outputMode: "shops" returns one row per shop (keywords search shops); each is billed as one product event.
• Empty keywords and startUrls returns popular products (home feed plus best sellers of 25 categories).
• includeRecommendations adds recommended products for product URLs; image URLs in rows are permanent.
• Not available: login-only data, Tokopedia Play.

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⚠️ Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by PT Tokopedia, TikTok, ByteDance Ltd., or any of their subsidiaries. All trademarks mentioned are the property of their respective owners.

The scraper accesses only publicly available Tokopedia product, category, shop and review data, with no authenticated endpoints, paid features, or content behind the Tokopedia login wall. Users are responsible for ensuring their use complies with Tokopedia's Terms of Service, applicable data-protection law (Indonesia's PDP Law, GDPR, CCPA, etc.), and any contractual obligations of their own organization.

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SEO Keywords

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