Use Shein Homepage Featured Products Scraper with Python

Collect the featured products shown on a Shein regional homepage: title, product URL, sale and retail price, discount percentage and images in local currency, for 22 countries.

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.

{
  "countries": [
    "US"
  ],
  "maxItems": 1,
  "mode": "featured"
}

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

Field	Type	Required	Description
`mode`	string	optional	Which server-rendered SHEIN feed to collect. The home feed is richer (20 products with SKU, SPU, brand, rating, sold count) and is available for US, UK, AU, BR, CA, MX, PH, SG, MY, NZ and ZA; other markets fall back to their root homepage.
`countries`	array	optional	One or more SHEIN storefronts to read. Each storefront returns its own products, local currency and USD comparison prices.
`maxItems`	integer	optional	Hard cap on records across all selected storefronts. A root homepage carries 6-14 products and a home feed carries 20; the cap trims records after each storefront is read and stops requesting the remaining storefronts once it is reached.

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/DeYvCwCnIKlepvXdy/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 SHEIN featured or home-feed product, with local and USD pricing, ratings, sold counts, brand, SKU, images and storefront metadata.

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 NH8lgwIa6DUbH8qF5 and its README and schemas. Source changes regenerate this guide; no third-party editorial claims are inferred.