The Infatuation Scraper - Restaurant Reviews avatar

The Infatuation Scraper - Restaurant Reviews

Pricing

from $10.00 / 1,000 results

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The Infatuation Scraper - Restaurant Reviews

The Infatuation Scraper - Restaurant Reviews

Scrape The Infatuation restaurant reviews and ratings. Search by city and cuisine. Extract ratings, reviews, perfect-for tags, venue details, and neighborhood info.

Pricing

from $10.00 / 1,000 results

Rating

0.0

(0)

Developer

lulz bot

lulz bot

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

a month ago

Last modified

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Scrape restaurant reviews and ratings from The Infatuation -- a trusted restaurant review platform covering major cities worldwide.

What it does

  • Search mode: Browse restaurant reviews by city, optionally filtering by cuisine type
  • Details mode: Provide direct Infatuation review URLs to scrape specific restaurants

Extracts data from the Next.js NEXT_DATA and Apollo cache embedded in each page -- no JavaScript rendering needed.

Input Parameters

ParameterTypeDescription
modestringsearch (browse by city) or details (direct URLs). Default: search
citystringCity slug (e.g. new-york, los-angeles, chicago, london). Default: new-york
cuisinestringOptional cuisine filter (e.g. italian, japanese, mexican). Case-insensitive
startUrlsarrayList of theinfatuation.com review URLs. Used in details mode
limitintegerMax number of results. Default: 10, max: 1000
proxyConfigurationobjectProxy settings (residential recommended)

Output Fields

Each result contains:

FieldTypeDescription
namestringRestaurant name
ratingnumberRating out of 10
neighborhoodstringNeighborhood name
cuisinestringCuisine type(s)
priceRangestringPrice range ($, $$, $$$, $$$$)
addressstringFull street address
phonestringPhone number
websitestringRestaurant website URL
reviewSummarystringBrief review summary / preview text
perfectForstring[]Tags like "date night", "walk ins", "private dining"
imageUrlstringHeader image URL
urlstringSource Infatuation review URL
scrapedAtstringISO 8601 timestamp

Example Output

{
"name": "Via Carota",
"rating": 9.5,
"neighborhood": "West Village",
"cuisine": "Pasta, Italian",
"priceRange": "$$$",
"address": "51 Grove St., New York, NY, 10014",
"phone": "",
"website": "http://www.viacarota.com/",
"reviewSummary": "Via Carota is a mostly walk-in only Italian spot in the West Village...",
"perfectFor": ["date night", "private dining", "walk ins"],
"imageUrl": "https://res.cloudinary.com/the-infatuation/image/upload/...",
"url": "https://www.theinfatuation.com/new-york/reviews/via-carota",
"scrapedAt": "2026-04-26T10:00:00.000Z"
}

Example Inputs

Browse New York Italian restaurants

{
"mode": "search",
"city": "new-york",
"cuisine": "italian",
"limit": 20
}

Scrape specific restaurant reviews

{
"mode": "details",
"startUrls": [
{ "url": "https://www.theinfatuation.com/new-york/reviews/via-carota" },
{ "url": "https://www.theinfatuation.com/los-angeles/reviews/bestia" }
]
}

Supported Cities

The Infatuation covers 50+ cities including:

  • US: New York, Los Angeles, Chicago, San Francisco, Austin, Miami, Seattle, Portland, Nashville, and more
  • International: London, Paris, Hong Kong, Tokyo, and more

Use the city slug (lowercase, hyphenated) as the city parameter.

How it works

  1. Search mode: Fetches the city reviews listing page which contains a Next.js __NEXT_DATA__ script tag with an Apollo cache. PostReview entries contain rating, preview, venue details, cuisine tags, and neighborhood tags. References are resolved against the cache.
  2. Details mode: Directly fetches provided review URLs.
  3. Data extraction: Each page embeds structured review data in the Apollo cache, including venue coordinates, price level, perfect-for tags, and contributor info.

Notes

  • Ratings are on a scale of 0-10, with 10 being the highest.
  • Price range is 1-4 ($ to $$$$), converted to dollar signs for readability.
  • The "perfect for" tags indicate occasions and situations the restaurant is good for.
  • Residential proxies recommended to avoid rate limiting.