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OpenTable Scraper API

Resolve any OpenTable restaurant profile or city search into clean JSON: reservation availability and time slots, dining menus, price bands, diner ratings, and ranked results — not delivery, but the full reservations layer.

Restaurants & menusLive pricingReviews & ratingsGeo-segmented
▸ Overview

OpenTable is a restaurant-reservation network rather than a delivery marketplace, surfacing bookable time slots, dining menus, and diner reviews for restaurants across many markets. The OpenTable Scraper API resolves restaurant profiles and city searches into validated JSON covering availability, menus, and review streams.

It is built for hospitality-intelligence and demand-forecasting teams that need booking availability and restaurant profiles rather than item-level delivery pricing. Open time slots and review data are resolved at request time for the date, party size, and city you specify.

OpenTable Scraper API · request
# POST a target — get validated JSON back
curl https://api.crawlzo.com/v4/scrape \
  -H "Authorization: Bearer $CRAWLZO_KEY" \
  -d '{
  "url": "https://www.opentable.com/",
  "type": "restaurant",
  "geo": "us-ny"
  }'

// ← response
{
  "status": "ok",
  "data": {
    "name": "...",
    "rating": 4.5,
    "review_count": 820,
    "cuisine": "...",
    "delivery_fee": 2.99,
    "eta_min": 25,
    "menu_items": 142
  }
}
"type": "restaurant", "geo": "us-ny"
▸ What you can extract

Every public field, structured for you.

OpenTable data parsed into clean, validated JSON. Pull any group below on its own, or combine them in a single request.

Restaurant / store details

  • Name, cuisine, address, coordinates
  • Rating, review count, price level
  • Hours, delivery zone, contact
  • Photos and cover imagery

Menu & items

  • Categories, items, descriptions
  • Item price, modifiers, options
  • Dietary tags and popularity
  • Item images

Reviews & ratings

  • Review text, rating, author, date
  • Rating distribution
  • Full review pagination

Delivery & pricing

  • Delivery fee and service fee
  • Minimum order and ETA
  • Promotions and offers

Search results

  • Ranked restaurants per location
  • Cuisine, price, rating filters
  • Sponsored vs. organic flag
  • Pagination across result pages
▸ Built on the Crawlzo engine

The hard parts, already solved.

▸ What teams build with it

Common use cases.

[ 01 ]

Reservation-availability and slot tracking

[ 02 ]

Restaurant profile and cuisine intelligence

[ 03 ]

Diner review and rating monitoring

[ 04 ]

Dining-demand and occupancy forecasting

▸ FAQ

OpenTable scraping, answered.

No. OpenTable is a reservations platform, so we return booking availability, restaurant profiles, dining menus, and reviews rather than per-item delivery prices or courier fees.

Structured JSON straight from the API, or pushed to your stack natively — S3, BigQuery, Snowflake, Postgres, Kafka, or any HTTPS webhook. Call it from Python, Node, Go, Rust, or any HTTP client. The data lands where your pipeline already lives.

No. You pay for valid, schema-passing rows only. Retries, blocks, CAPTCHAs, and 5xxs are on us. If a run doesn't return data that conforms to the schema, it isn't billed.

Every request routes through the same engine behind our Web Unblocker API: compliant residential IPs, real browser fingerprints, TLS-level evasion, behaviour modelling, and built-in CAPTCHA solving. Hard targets become routine.

Yes. We respect robots policies, rate budgets, and ToS-aware allow/deny lists. We deliver and move on — no row-level retention beyond your replay window. GDPR DPA, PII redaction, and custom data residency available on request.

OPENTABLE DATA · ON TAP

Start pulling OpenTable data this week.

Tell us the OpenTable surface you need and the shape you want it in. We'll come back in 24 hours with a sampled output, a scoped plan, and a price. Pilot in week one.

Pay only for data delivered99.99% uptime SLA99% success rate100M+ proxies