Wish Product Scraper

Extract product data from Wish.com at scale — by keyword search, category, collection (Deals Hub / flash sale), or direct product ID. Built on a fast, direct mobile-API client (no headless browser), so runs are quick, cheap, and reliable, and every row carries a stable USD price plus ratings, sales counts, merchant info, variations, images, and optional reviews.

Who it's for

• Dropshippers & e-commerce sellers — find winning products, track prices and demand signals (num_bought, ratings) across categories.
• Price & catalog researchers — bulk product data with consistent USD pricing.
• Market analysts — category and Deals Hub monitoring.
• Developers & data teams — clean, stable JSON for pipelines and dashboards.

What you get (output fields)

Field	Description
product_id	Wish 24-hex product id
name	Product title
url	Product page URL
image_url	Primary image
price_usd	Price in USD (stable across geos)
price_local / currency	Localized price + currency code
crossed_price_usd	Original / crossed-out price if discounted
rating / review_count	Average rating and number of reviews
num_bought	Reported number of purchases
merchant_id / merchant_name	Store identity
is_sold_out / variation_count	From product detail
images	Product image gallery (from detail)
reviews	Customer reviews (rating, comment, author, date) when enabled
source / scraped_at	Provenance + ISO-8601 timestamp

Use cases

• Product research / winning-product discovery — search a niche, sort by num_bought and rating, enrich the best with detail + reviews.
• Price monitoring — schedule daily runs over your product IDs and diff price_usd.
• Category & Deals Hub tracking — pull dealshub_flashsale or a category handle to watch what Wish is pushing.
• Review mining — enable reviews to feed sentiment analysis.

Input parameters

Field	Type	Default	Description
searchQueries	array	[]	Keywords, one search each
categoryHandles	array	[]	Category handles (e.g. bs_03)
collectionTags	array	[]	Collection tags (e.g. dealshub_flashsale)
productIds	array	[]	Direct product IDs or URLs
maxItems	integer	200	Global cap on rows
maxPagesPerQuery	integer	5	Pages per keyword/category (30/page)
fetchDetail	boolean	true	Enrich each product with the detail page
fetchReviews	boolean	false	Include customer reviews
maxReviewsPerProduct	integer	10	Review cap when reviews are on
proxyConfiguration	object	off	Optional proxy for large runs

Example input

{
  "searchQueries": ["phone case", "led strip lights"],
  "collectionTags": ["dealshub_flashsale"],
  "maxItems": 500,
  "maxPagesPerQuery": 5,
  "fetchDetail": true,
  "fetchReviews": false
}

Example output row

{
  "product_id": "6481b153fcf9e035caa4a633",
  "name": "PlusAcc Waterproof Case for Samsung Galaxy S23 Ultra",
  "url": "https://www.wish.com/product/6481b153fcf9e035caa4a633",
  "price_usd": 20.04,
  "price_local": 3254.0,
  "currency": "JPY",
  "rating": 4.0,
  "review_count": 1,
  "num_bought": 0,
  "merchant_name": "PlusAcc",
  "is_sold_out": false,
  "variation_count": 1,
  "source": "search:phone case",
  "scraped_at": "2026-07-15T04:00:00Z"
}

Scheduling & webhooks

Run on a schedule (e.g. daily price checks) from the Apify Console, and attach a webhook to push finished datasets straight into your own systems or a Google Sheet / database via Apify integrations.

AI assistants (MCP)

Prefer live, conversational access from Claude, Cursor, or ChatGPT? Use the companion Wish Scraper MCP actor, which exposes search, product detail, reviews, categories, and autocomplete as MCP tools.

FAQ

Where does the data come from? Wish.com's own mobile app API — the same data the app shows, returned as clean JSON.

Do I need proxies or accounts? No. The actor runs without login and works from Apify's infrastructure out of the box; proxies are optional for very large runs.

How fresh is the data? Live — each run fetches current data at run time.

Why are some prices in a non-USD currency? Wish localizes the displayed price by region; price_usd is always provided as a stable value regardless.

Can it get full detail and reviews? Yes — enable fetchDetail (on by default) and fetchReviews to enrich each product.

Is it reliable? It calls the API directly (no fragile browser automation) and skips/logs per-item failures so one bad product never aborts a run.