Use Tokopedia Search, Category & Price Drop Scraper with Python

Search Tokopedia by keyword, browse a category or top-sellers list, or look up specific product URLs, and get price, discount, rating, and seller details for each Indonesian marketplace listing.

1. Choose the data you need

Review the published README for supported collection modes, examples, and limits. The recipe below uses the current published input definition.

2. Prepare a source-based input

This JSON contains published prefills and required-field defaults. Review every value for your task before running it; it is not a promise of successful collection.

{
  "city": "any",
  "codOnly": false,
  "condition": "any",
  "discountOnly": false,
  "freeShippingOnly": false,
  "includeDetails": false,
  "latestProductDays": "any",
  "maxItems": 3,
  "minRating": "any",
  "mode": "search",
  "preorder": "any",
  "searchQueries": [
    "smartphone"
  ],
  "shopType": "any",
  "sortBy": "relevance"
}

Download input.example.json and save your reviewed copy as input.json.

Field	Type	Required	Description
`mode`	string	optional	What to scrape.
`searchQueries`	array	optional	Keywords to search (mode=search). Example: smartphone, sepatu lari, kopi arabika.
`searchUrls`	array	optional	Tokopedia search or /find/ URLs. Filters and sort already in the URL are applied.
`categoryUrls`	array	optional	Tokopedia category URLs such as https://www.tokopedia.com/p/handphone-tablet/handphone.
`categoryIds`	array	optional	Numeric Tokopedia category IDs, for example 24 for Handphone.
`productUrls`	array	optional	Tokopedia product page URLs. Numeric IDs alone are not supported.
`sortBy`	string	optional	Result order.
`priceMin`	integer	optional	Minimum price in Indonesian Rupiah.
`priceMax`	integer	optional	Maximum price in Indonesian Rupiah.
`condition`	string	optional	Filter by product condition.
`shopType`	string	optional	Filter by Tokopedia shop type.
`minRating`	string	optional	Only show products rated 4 or higher.
`city`	string	optional	Filter by a common seller location. Leave Any for all of Indonesia.
`cityId`	string	optional	Exact Tokopedia city ID(s), comma-separated. Overrides the location dropdown.
`latestProductDays`	string	optional	Only show products added recently.
`discountOnly`	boolean	optional	Only show products currently on discount.
`codOnly`	boolean	optional	Only show products that offer cash on delivery.
`freeShippingOnly`	boolean	optional	Only show products with the free-shipping offer.
`preorder`	string	optional	Filter by ready stock or preorder.
`includeDetails`	boolean	optional	Add condition, stock, variants, description, and rating breakdown to search and category results. Slower and makes one extra request per product.
`maxItems`	integer	optional	Maximum number of products to return.

3. Start an Actor run

Set APIFY_TOKEN in your environment. Python 3.10 or newer is sufficient; this recipe uses no third-party packages.

Execution may incur charges. Review current pricing on Apify. The request asks for a 120-second timeout and a charge limit; these settings are subject to Apify’s pricing and do not guarantee an all-inclusive spending cap.

import json
import os
import urllib.request

# Save the schema-derived example as input.json; review and edit it first.
with open("input.json", encoding="utf-8") as stream:
    actor_input = json.load(stream)

token = os.environ["APIFY_TOKEN"]
request = urllib.request.Request(
    "https://api.apify.com/v2/acts/bOmVHQGZm6vdyV601/runs?timeout=120&maxTotalChargeUsd=0.50",
    data=json.dumps(actor_input).encode("utf-8"),
    headers={"Authorization": "Bearer " + token, "Content-Type": "application/json"},
    method="POST",
)
# This starts a potentially billable run. Do not automatically retry this POST.
with urllib.request.urlopen(request, timeout=40) as response:
    run = json.load(response)["data"]
print("Run ID:", run["id"])
print("Status:", run["status"])
# Inspect and download results in Apify Console once the run succeeds.

4. Inspect the actual results

Open the run in Apify Console and wait for a successful completion. Use the published output schema to locate results and the dataset schema to understand declared views. Missing or optional record fields must not be treated as guaranteed values.

One record per Tokopedia product from keyword search, category browse, or product-detail URLs, with pricing, discount, rating, sold count, shop, condition, stock, variants, and images.

Questions before you run

Which inputs are required?

No top-level fields are marked required in the published schema. Conditional requirements can still apply; check the README.

What does this guide verify?

The fields, prefills, and schema links are rendered from the published build. This is a usage recipe, not a paid live extraction test. Source availability and collection results can vary.

What if the run request times out?

Check Apify Console before retrying. The first request may already have created a run. Do not automatically repeat a run-creation POST.

Open on Apify Full Actor reference

Generated from source build 0xhqWRRyaZ3YnEnaW and its README and schemas. Source changes regenerate this guide; no third-party editorial claims are inferred.