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Wirecutter Product Recommendations

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from $1.00 / 1,000 results

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Wirecutter Product Recommendations

Wirecutter Product Recommendations

Extract product picks, prices, and reviews from Wirecutter (New York Times). Scrape The Best roundup articles with top picks, runner-ups, budget picks, and affiliate links across 3,700+ reviews.

Pricing

from $1.00 / 1,000 results

Rating

0.0

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Developer

Alam

Alam

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

13 days ago

Last modified

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Wirecutter Product Recommendations Scraper

Extract product recommendations, picks, prices, and reviews from Wirecutter (by The New York Times).

What It Does

Wirecutter publishes expert product reviews and "Best [X]" roundup articles across thousands of categories — from electronics and kitchen gear to home improvement and outdoor equipment. This actor extracts the structured product data from every review, including:

  • Product picks — Top pick, Also great, Budget pick, Upgrade pick
  • Product names and descriptive titles
  • Prices and stores — where to buy, with pricing
  • Affiliate links — direct purchase links
  • Product images — high-resolution photos
  • Review metadata — publish dates, categories, authors

Use Cases

  • Price monitoring — Track which products Wirecutter recommends and at what prices
  • Market research — See which brands and products get endorsed across categories
  • Affiliate marketing — Identify trending recommended products in your niche
  • Competitive analysis — Monitor which products appear in "Best [X]" lists
  • Product discovery — Find top-rated products across 3,700+ reviews

Input

ParameterTypeDefaultDescription
maxReviewsinteger100Maximum reviews to scrape (0 = all)
sectionIdintegerFilter by section (use fetchAllSections to get IDs)
searchQuerystringSearch reviews by keyword (e.g. "headphones")
startPageinteger1Start from a specific page (for resuming)
includeEmptybooleanfalseInclude reviews without product picks
fetchAllSectionsbooleanfalseReturn section list instead of reviews

Output

Each result is a review article containing its recommended products:

{
"id": 9765,
"title": "The Best Steak Knife Set",
"url": "https://www.nytimes.com/wirecutter/reviews/best-steak-knife-set/",
"datePublished": "2026-05-08T12:53:47",
"dateModified": "2026-05-08T12:59:08",
"productCount": 3,
"products": [
{
"pickLabel": "Top pick",
"productName": "Material The Table Knives",
"pickTitle": "The best steak knife set",
"description": "Modern, attractive, and incredibly sharp...",
"imageUrl": "https://...",
"affiliateUrl": "https://...",
"prices": [{"price": "$110", "store": "Material Kitchen"}]
}
]
}

Tips

  • Start with fetchAllSections: true to discover available section IDs and article counts
  • The Money section (ID 237) has the most reviews (670+), followed by Home (647) and Electronics (537)
  • Set maxReviews: 0 to scrape all 3,700+ reviews (takes ~30 minutes)
  • Results are sorted by most recently updated first

Sections

35 categories available including: Money, Home, Electronics, Kitchen, Health & Fitness, Style, Gifts, Outdoors, Sleep, Baby & Kid, Beauty, Appliances, Travel, Office, Pets, Software & Apps, Games & Hobbies, Cars, and more.