Vexaloom Labs

Use Shopee Shop Profile, Item & Category Scraper with Python

Collect Shopee shop profiles with ratings and followers, shop product feeds, full item detail pages, and curated category listings across six Southeast Asian markets.

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.

{
  "includeChildren": false,
  "includeFeaturedItem": false,
  "includeShopCategories": false,
  "market": "MY",
  "maxItems": 1,
  "mode": "shopProfile",
  "shopUrl": "watsons.my"
}

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

FieldTypeRequiredDescription
modestringrequiredWhat to collect.
marketstringoptionalShopee market. Used for categoryTree, mallShops and bare IDs; a full URL keeps its own market.
shopUrlstringoptionalShop username, numeric shop ID, /shop/<id> path, or full Shopee shop URL (mode=shopProfile).
itemUrlstringoptionalFull item URL, -i.<shopid>.<itemid>, shopid.itemid, or /product/<shopid>/<itemid> (mode=itemByUrl).
categoryIdstringoptionalNumeric category ID from categoryTree mode, or a category name. Leave blank for the whole tree (mode=categoryTree).
includeChildrenbooleanoptionalInclude child categories (mode=categoryTree). When categoryId is blank, false returns only top-level categories.
includeShopCategoriesbooleanoptionalAdd the shop's own category list to the shop record (mode=shopProfile).
includeFeaturedItembooleanoptionalAdd the featured product card published on the shop page; on itemByUrl, merge it when the item matches.
maxItemsintegeroptionalHard cap on emitted records. Use 500 for a complete category tree.

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/QfRXeFPvqqB0A6cjw/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.

Shopee shop profiles, item details, category tree nodes and mall shop records across eight markets.

Questions before you run

Which inputs are required?

The published required fields are mode

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.

Generated from source build UbLTInQaLPvmv9zOa and its README and schemas. Source changes regenerate this guide; no third-party editorial claims are inferred.