Tokopedia Product Scraper — Prices, Sold & Sellers

Disclaimer: Unofficial tool — not affiliated with, sponsored by, or endorsed by PT Tokopedia or its affiliates. Data is read from publicly accessible search results only. No login. You are responsible for complying with applicable law (including GDPR where personal data appears) and the site’s terms. No warranty on accuracy or availability. Provided for informational and research use.

Search Tokopedia by keyword or search URL and extract product cards with IDR price, old price, discount, rating, units sold, shop name, and city. This Tokopedia scraper is an API alternative for price checks and catalog research on Indonesia’s marketplace. Run it from Python, Node.js, or MCP; export JSON / CSV / dataset. HTTP only — no headless browser.

Crawloop Marketplace & E-commerce Suite — Tokopedia search cards, then AliExpress, Amazon, Flipkart, or Walmart for the same product outside Indonesia.

Tokopedia Product Scraper ◄── you are here	AliExpress Search Scraper	Amazon Search Scraper	Flipkart Scraper	Walmart Scraper
Tokopedia keyword cards, IDR price, sold count, shop	AliExpress prices, sold count, Choice	Amazon keyword SERP, badges, sponsored	Flipkart INR price, MRP, Assured	Walmart ZIP-local prices

---

When to use this Actor

• Indonesia price checks — selling price, old price, and percent off on a keyword
• Catalog pulls — product id, title, rating, sold count, and image from search
• Seller shortlists — shop name, city, and cash-on-delivery label from the card
• Scheduled refresh — same query, compare price and soldCount over time

When not to use this Actor

• Product-page specs, variants, or review text — search cards only
• Shop review monitoring — this Actor does not walk shop or product review pages
• AliExpress, Amazon, Flipkart, or Walmart — use the sibling Actors in the table above

---

Key Features

• Keyword search — query or batch queries (up to 4 in parallel)
• Paste search URLs — URLs must include q=. Product page URLs are rejected
• Sort — relevance, price low to high, price high to low, newest
• Pagination + caps — up to 20 pages per query, or stop at maxItems
• Filters — minPrice, maxPrice in IDR, minRating, minSold
• HTTP — Chrome TLS impersonation, 256 MB. No proxy by default

---

How to scrape Tokopedia search results

1. Set a keyword in query, or paste search URLs in searchUrls.
2. Cap volume with maxItems and maxPages.
3. Run the Actor. Download the default dataset as JSON, CSV, or Excel — or call it from Python, Node.js, or MCP.

---

Input Parameters

Parameter	Type	Default	Description
query	String	—	Primary search keyword
queries	Array	—	Extra keywords (same filters and page cap)
searchUrls	Array	—	Search URLs with q=. Product pages are rejected
sort	String	relevance	relevance, price_asc, price_desc, newest
maxPages	Integer	1	Pages per query/URL (1–20)
maxItems	Integer	—	Product cap per query or URL
startPage	Integer	1	First page
minPrice / maxPrice	Number	—	Drop cards outside this IDR range
minRating	Number	—	Minimum rating (0–5)
minSold	Integer	—	Minimum units sold from the card label
deduplicateIds	Boolean	true	One row per productId in the run
maxConcurrency	Integer	2	Parallel queries (1–4)
proxyConfiguration	Object	off	Apify Proxy. Leave off unless a run returns no cards

Input example

{
  "query": "sepatu",
  "sort": "relevance",
  "maxPages": 1,
  "maxItems": 40
}

---

Output

Each dataset item is one search card.

Field	Description
productId	Tokopedia product id
title	Card title
price, oldPrice, priceText	Selling price and previous price in rupiah
discountPercent	Percent off from the ribbon, or computed from the old price
currency	Always IDR
rating	Star rating on the card
soldCount, soldLabel	Units sold. soldCountMinimum is true when the label is N+
shopName, shopCity, shopTier	Seller shop from the card
cashOnDelivery	True when the card says Bisa COD
category, categoryPath	Category name and breadcrumb
imageUrl, productUrl	Image and product link. Image URLs can expire
page, position, searchQuery	Where the card was found
scrapedAt	UTC timestamp

Output example

{
  "source": "tokopedia_search",
  "searchQuery": "sepatu",
  "page": 1,
  "position": 1,
  "productId": "11311819274",
  "title": "COPPER Hybrid Case",
  "price": 119900,
  "oldPrice": 300000,
  "discountPercent": 60,
  "currency": "IDR",
  "rating": 5.0,
  "soldCount": 18,
  "soldCountMinimum": false,
  "soldLabel": "18 terjual",
  "shopName": "Copper Shop",
  "shopCity": "Medan",
  "cashOnDelivery": true,
  "productUrl": "https://www.tokopedia.com/copper/hybrid-case",
  "scrapedAt": "2026-10-08T08:00:00Z"
}

---

Use Cases

Use case	What you get	Why it helps
Price monitoring	price, oldPrice, discountPercent	Track promo depth on a keyword
Catalog build	Product id, title, image, URL	Seed a sheet without opening each product page
Demand signal	soldCount, rating	Prefer cards that already sell
Cross-border check	Same keyword on AliExpress or Amazon	Compare an Indonesia card with another catalog

---

Integration examples

Node.js

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('crawloop/tokopedia-product-scraper').call({
  query: 'sepatu',
  maxPages: 1,
  maxItems: 40
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.slice(0, 5));

Python

from apify_client import ApifyClient

client = ApifyClient(token)
run = client.actor("crawloop/tokopedia-product-scraper").call(
    run_input={"query": "sepatu", "maxPages": 1, "maxItems": 40}
)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item.get("productId"), item.get("title"), item.get("price"), item.get("soldCount"))

cURL

curl "https://api.apify.com/v2/acts/crawloop~tokopedia-product-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"query":"sepatu","maxPages":1,"maxItems":40}'

MCP and AI assistants

Use this Actor from AI tools via Apify MCP. Connect your Apify account, then call this Actor by Store ID crawloop/tokopedia-product-scraper.

Example prompts:

• "Run Tokopedia Product Scraper for sepatu, 1 page, return productId, title, price, soldCount, and shopName"
• "Scrape Tokopedia for iphone case, keep cards rated 4 and up with at least 10 sold, summarize the cheapest 20"
• "Chain Tokopedia Product Scraper then AliExpress Search Scraper for the same keyword and compare IDR cards with the cross-border SERP"

Suite next step

After a Tokopedia keyword pull, compare the same products on AliExpress Search Scraper. For a US SERP, use Amazon Search Scraper. For India catalog cards, use Flipkart Scraper.

---

FAQ

Does this open product pages? No. One search request per page. Specs, variants, and review text that are not on the card are not collected.

What does sold count mean? It is the card label (18 terjual, 70+ terjual). soldCountMinimum is true when the label uses a plus. 1rb is stored as 1000.

What if the run saves nothing? An empty keyword finishes without rows and without a crash. A blocked search API does the same and sets a status message. If that happens, turn on a residential proxy for the next run.

Can I schedule it? Yes. Save a task with the same keyword and run it on a schedule. Compare price and soldCount across runs.