Pricing

from $1.00 / 1,000 review scrapeds

OpenTable Reviews Scraper – Restaurants, Ratings & Diner Data

Scrape full OpenTable.com restaurant reviews by keyword, area, or restaurant profile URLs. Collect every available review with text, ratings, diner profile data, tags, photos, restaurant metadata, cuisines, neighborhood, and profile links in structured rows.

Pricing

from $1.00 / 1,000 review scrapeds

Rating

0.0

(0)

Developer

AbotAPI

Actor stats

Bookmarked

Total users

Monthly active users

5 days ago

Last modified

Categories

Automation

Developer tools

Other

You can access the OpenTable Reviews Scraper – Restaurants, Ratings & Diner Data programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "keywords": ["sushi"],
10    "location": "New York",
11    "startUrls": [{ "url": "https://www.opentable.com/r/yakiniku-shodai-san-francisco" }],
12    "proxy": {
13        "useApifyProxy": True,
14        "apifyProxyGroups": ["RESIDENTIAL"],
15        "apifyProxyCountry": "US",
16    },
17}
18
19# Run the Actor and wait for it to finish
20run = client.actor("abotapi/opentable-reviews-scraper").call(run_input=run_input)
21
22# Fetch and print Actor results from the run's dataset (if there are any)
23print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
24for item in client.dataset(run["defaultDatasetId"]).iterate_items():
25    print(item)
26
27# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

OpenTable Reviews Scraper – Restaurants, Ratings & Diner Data API in Python

The Apify API client for Python is the official library that allows you to use OpenTable Reviews Scraper – Restaurants, Ratings & Diner Data API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

OpenTable Reviews Scraper – Restaurants, Ratings & Diner Data API in JavaScript

OpenTable Reviews Scraper – Restaurants, Ratings & Diner Data API through CLI

OpenTable Reviews Scraper – Restaurants, Ratings & Diner Data OpenAPI definition

OpenTable Reviews Scraper – Restaurants, Ratings & Diner Data API

OpenTable Reviews API | Restaurant Review Intelligence

johnvc/opentable-reviews-api

Scrape OpenTable restaurant reviews as structured JSON: review text, dined and submitted dates, the diner's profile, and the full rating breakdown (overall, food, service, ambience, value, noise). For hospitality analytics and restaurant competitive intelligence. Pay per review, MCP-ready.

John

5.0

Opentable Restaurants Search Scraper

stealth_mode/opentable-restaurants-search-scraper

Scrape OpenTable restaurant search results effortlessly. Extract names, cuisines, availability slots, reviews, pricing, coordinates, and 30+ fields per restaurant — perfect for market research, travel apps, and food industry analysis.

Stealth mode

OpenTable Review Scraper

scraped/opentable-review-scraper

Automatically collect customer reviews and ratings from the OpenTable platform.

scraped

Opentable Reviews Parser Spider

getdataforme/opentable-reviews-parser-spider

This Apify Actor extracts detailed reviews, ratings, and metadata from OpenTable restaurant pages, delivering valuable insights for market analysis, reputation management, and competitive intelligence....

GetDataForMe

OpenTable Restaurants, Ratings & Reviews Scraper

parseforge/opentable-scraper

Scrape OpenTable restaurants in any city. Export profiles, ratings, reviews, menus, cuisine, price, hours, coordinates as CSV, Excel, JSON, or XML.

ParseForge

Zomato Restaurant Scraper - Listings, Ratings & Prices

fascinating_lentil/zomato-restaurant-scraper

Scrape public Zomato restaurant listings with names, cuisines, ratings, review counts, pricing, locality, images, and restaurant URLs. Useful for restaurant market research and local food data monitoring.

Md Jakaria Mirza

Opentable Urls Script

hello.datawizards/opentable-urls-script

"Opentable-Urls Script extracts rich restaurant data from OpenTable pages, including menus, images, ratings, location, cuisine, and pricing. Ideal for food apps, analytics, travel platforms, and AI datasets, delivering clean, structured JSON output with proxy support."

datawizards

Thefork Reviews Scraper

stealth_mode/thefork-reviews-scraper

Scrape verified diner reviews from TheFork.com including ratings, meal dates, reviewer profiles, restaurant replies, and more. Perfect for reputation monitoring, sentiment analysis, and competitive research in the restaurant industry.

Stealth mode

OpenTable Scraper — Reviews, Restaurants & Availability

bovi/opentable-scraper

Scrape OpenTable restaurants AND individual reviews (reviewer, overall + food/service/ambience sub-ratings, text, dined date, helpful votes), plus availability and listings. By city, cuisine, or URL. Two PPE events: per restaurant + per review.

Vitalii Bondarev

Zomato Restaurant Reviews Scraper 🍽️

easyapi/zomato-restaurant-reviews-scraper

Scrape restaurant reviews from Zomato.com. Extract detailed review data including ratings, review text, user information, and more. Perfect for restaurant analytics, customer feedback analysis, and market research.