# OpenTable Scraper \[$0.2/1K💰] | Reviews | Menus | Data (`ahmed_jasarevic/opentable-scraper`) Actor

\[$0.2/1K💰] Cheapest OpenTable scraper on Apify. Scrape restaurant data: name, cuisine, price band, rating, reviews, address, hours, menus, availability slots, photos, coordinates for restaurant market research and lead generation. No login, no token.

- **URL**: https://apify.com/ahmed\_jasarevic/opentable-scraper.md
- **Developed by:** [Ahmed Jasarevic](https://apify.com/ahmed_jasarevic) (community)
- **Categories:** Travel, E-commerce, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.17 / 1,000 restaurant profile scrapeds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## OpenTable Scraper — Restaurant Data, Reviews & Prices

**OpenTable Scraper** extracts restaurant data from [OpenTable](https://www.opentable.com) for restaurant market research, price monitoring, and lead generation. It collects restaurant profiles, menus, diner reviews, and reservation availability as structured JSON — **no login, no token, no browser** — from Apify's cloud, at under $0.2 per 1,000 restaurant profiles.

### Main Use Cases

- **Restaurant market research** — track ratings, review counts, and price bands across cities, cuisines, and competitors.
- **Restaurant price monitoring** — watch price-band and menu prices over time for competitive intelligence or dining-app catalog enrichment.
- **Restaurant ratings & reviews data** — collect individual diner reviews with food/service/ambience/value ratings for sentiment analysis.
- **Restaurant lead generation** — build prospect lists (name, cuisine, address, coordinates, phone, photos) for marketing agencies and suppliers.
- **Reservation availability monitoring** — check real-time booking slots for a chosen date and party size, best-effort from cloud IPs.
- **Restaurant database building** — export a clean city/cuisine restaurant dataset (JSON, CSV, Excel) for dashboards or maps.

### How It Works

The actor opens an anonymous web session against OpenTable's public GraphQL API — plain JSON over HTTPS, no browser rendering. It searches by location or cuisine, then scrapes each restaurant profile (typically **1–3 seconds per restaurant**), and writes **four dedicated datasets**: restaurants, reviews, menus, and availability. No token to paste, nothing to refresh, works out of the box from Apify Cloud.

### Extract Restaurant Listings for Market Research

Search restaurants by location, cuisine, or name (e.g. `"new york"`, `"italian san francisco"`, `"nobu"`) and rank them by relevance. Each restaurant row includes:

- Name, profile URL, restaurant ID
- Primary cuisine, price band, dining style
- Rating and total review count
- Neighborhood, full address, latitude/longitude
- Photos, features (bar, counter, outdoor), awards

### Build Restaurant Prospect Lists Without an Official API

OpenTable has no public API for third-party data access. This actor fills that gap: scrape up to **1,000 restaurants per run** and export the dataset for lead generation, agency prospecting, or aggregator catalog enrichment — no API key, no developer account.

### Collect Diner Reviews & Ratings Breakdowns

Enable `includeReviews` to collect individual reviews with full text and per-dimension ratings (food, service, ambience, value), noise level, reviewer name and metro, and dining/submission dates. Ideal for sentiment analysis and trust-signal reporting.

### Monitor Restaurant Availability and Prices

Set `dateTime` and `partySize` to fetch real-time reservation availability slots. Combine with scheduled runs (daily or weekly) to detect price-band changes, menu-price updates, and booking demand shifts over time. Availability is best-effort from datacenter IPs; a Residential/Static proxy unlocks consistent results.

### Input

| Field | Type | Required | Default | Notes |
|---|---|---|---|---|
| `searchTerm` | string | optional | `"new york"` | Search query: location, cuisine, or restaurant name. Ignored when `startUrls` is set. |
| `startUrls` | array | optional | — | Direct profile URLs (`https://www.opentable.com/r/...`); scraped directly instead of searching. |
| `maxRestaurants` | integer | optional | 50 | Max restaurant profiles (1–1000). |
| `maxReviewsPerRestaurant` | integer | optional | 10 | Max individual reviews per restaurant (0–200). |
| `includeAvailability` | boolean | optional | true | Fetch real-time reservation slots. |
| `includeReviews` | boolean | optional | true | Include individual diner reviews. |
| `includeMenus` | boolean | optional | true | Include full menu data (may be blocked from datacenter IPs — see notes). |
| `dateTime` | string | optional | today 7 PM local | Reservation date/time, e.g. `2026-09-20T19:00:00`. |
| `partySize` | integer | optional | 2 | Party size for availability lookups (1–20). |

### Output

Each run writes four dedicated datasets so row types never mix. All are downloadable as JSON, CSV, Excel, or HTML from the **Storage** tab, and exposed as API links in the **Output** tab.

| Dataset | Row type | Example fields |
|---|---|---|
| Default dataset | `restaurant` | name, url, primaryCuisine, priceBand, rating, reviewCount, neighborhood, address, latitude, longitude, photos |
| `reviews` | `review` | reviewId, text, ratingOverall/Food/Service/Ambience/Value, noiseLevel, reviewerName, reviewerMetro, dinedDateTime |
| `menus` | menu item | menuTitle, sectionTitle, itemTitle, itemDescription, price, currency |
| `availability` | slot | dateTime, time, type, points, redemptionTier |

#### Example Input

```json
{
  "searchTerm": "italian new york",
  "maxRestaurants": 100,
  "maxReviewsPerRestaurant": 20,
  "includeReviews": true,
  "includeMenus": false,
  "includeAvailability": true,
  "partySize": 2,
  "dateTime": "2026-09-20T19:00:00"
}
```

#### Example Output — restaurant (default dataset)

```json
{
  "_type": "restaurant",
  "restaurantId": 1191640,
  "name": "Ci Siamo",
  "url": "https://www.opentable.com/r/ci-siamo-new-york",
  "primaryCuisine": "Italian",
  "priceBand": "$50 and over",
  "rating": 4.7,
  "reviewCount": 585,
  "neighborhood": "Manhattan West",
  "address": { "line1": "440 W 33rd St", "city": "New York", "state": "NY", "postCode": "10001" },
  "diningStyle": "Casual Dining",
  "latitude": 40.7525,
  "longitude": -73.9989
}
```

### Integrations & Automation

- **API** — every dataset has a permanent API URL; pull it into any pipeline or BI tool.
- **Webhooks** — trigger downstream jobs when a run finishes.
- **Scheduling** — run daily or weekly on Apify's cron scheduler for price/availability monitoring and recurring dataset refreshes.
- **Zapier / Make** — connect via Apify's official integrations for spreadsheet and CRM updates.
- Recommended recurring schedule: **daily** for availability monitoring, **weekly** for price-band and menu tracking.

### Related Actors

- **[Restaurant Review Aggregator](https://apify.com/tri_angle/restaurant-review-aggregator)** — TripAdvisor restaurant reviews at scale (the authoritative actor in the restaurant-reviews cluster).
- **[OpenTable Scraper by parseforge](https://apify.com/parseforge/opentable-scraper)** — alternative OpenTable profile extraction.
- **[RAG Web Browser](https://apify.com/apify/rag-web-browser)** — general web search + page fetch for market research context.

### FAQ

**Is there an OpenTable API?**
No public third-party API exists. This actor extracts the same restaurant data via OpenTable's public GraphQL endpoint — no login, no token, no developer account.

**Can I scrape OpenTable without an API?**
Yes — that's exactly what this actor does. Run it from Apify Cloud and export the dataset as JSON, CSV, or Excel.

**What's the best way to get restaurant reservations data?**
Set `dateTime` and `partySize` and enable `includeAvailability`. For monitoring, schedule daily runs and compare slot availability over time.

**OpenTable vs TripAdvisor data for restaurant market research?**
OpenTable covers reservations-focused profiles (price bands, dining style, availability); TripAdvisor covers broader review volume. Many projects combine both — pair this actor with the [Restaurant Review Aggregator](https://apify.com/tri_angle/restaurant-review-aggregator).

**How to track competitor restaurant prices?**
Use `startUrls` with your competitors' profile URLs, enable `includeMenus`, and schedule weekly runs to diff menu prices and price bands.

**What are OpenTable scraper alternatives?**
Direct competitors include [parseforge's OpenTable scraper](https://apify.com/parseforge/opentable-scraper) and [shahidirfan's scraper](https://apify.com/shahidirfan/opentable-scraper). This actor additionally covers reviews, menus, and availability in a single run at $0.2/1K profiles.

**Why no token?**
The actor uses an anonymous web session against OpenTable's public GraphQL API — no account data is accessed.

**Known limitations**

- Menu, hours, phone, and website data come from server-side rendered pages that Akamai blocks from datacenter IPs; a clean Residential/Static proxy unlocks them. Set `includeMenus: false` for faster cloud runs.
- Availability slots may be intermittently blocked by Akamai rate limiting from datacenter IPs.
- Coverage is primarily US restaurants (`databaseRegion: NA`).

### Competitive Positioning

| Capability | Direct competitors | This actor |
|---|---|---|
| Price (per restaurant) | `$0.02033` (parseforge), `$0.00139` (shahidirfan) | `$0.0002` (= $0.2 / 1K profiles, pay-per-event) |
| Datasets in one run | profiles only | restaurants + reviews + menus + availability |
| Token / login needed | varies | none |
| Max restaurants per run | varies | 1,000 |
| Store rating | as low as 1.83 (parseforge) | n/a (new actor, 2 users) |

*Verified from competitor Store pages and input schemas on 2026-09-14.*

### For AI Agents & LLM Apps

- **Purpose**: returns structured OpenTable restaurant data — profiles, reviews, menus, and reservation availability — from a search term or profile URLs.
- **Minimal working input**:

```json
{ "searchTerm": "new york", "maxRestaurants": 50 }
```

- **Variant inputs**: direct URL scraping via `startUrls`; review-only via `maxReviewsPerRestaurant` + `includeReviews: true` + others `false`; availability lookup via `dateTime` + `partySize` + `includeAvailability: true`.
- **Output fields** (4 datasets): `restaurants` (name, url, primaryCuisine, priceBand, rating, reviewCount, address, latitude, longitude); `reviews` (reviewId, text, ratingOverall, ratingFood, ratingService, ratingAmbience, ratingValue, reviewerName); `menus` (itemTitle, sectionTitle, price, currency); `availability` (dateTime, time, type).
- **Behaviors an agent should know**:
  - `startUrls` takes priority over `searchTerm` when both are provided.
  - `includeMenus: true` costs extra requests and may 403 from datacenter IPs — disable for cloud runs unless a residential proxy is used.
  - `includeAvailability` and `includeReviews` each add billed events per restaurant — budget accordingly.
  - Max result cap: `maxRestaurants` (up to 1000); per-restaurant review cap: `maxReviewsPerRestaurant` (up to 200).
- **Billing**: pay-per-event — $0.00005/run start, $0.0002/restaurant profile, $0.0008/menu item, $0.0008/availability slot, $0.001/review.

### Legal & Compliance Disclaimer

This actor is independent and not affiliated with, endorsed by, or sponsored by OpenTable, Inc. It accesses only publicly available restaurant data through OpenTable's public GraphQL endpoint — no login bypass, no CAPTCHA solving, no account data. You are responsible for complying with OpenTable's Terms of Service and applicable data-protection law (GDPR/CCPA where relevant). Do not resell or redistribute data in ways that violate those terms.

### SEO Keywords

opentable scraper, opentable restaurant data, scrape opentable without api, restaurant market research, restaurant price monitoring, restaurant ratings & reviews, restaurant lead generation, reservation availability monitoring, restaurant menu prices, restaurant database, competitor restaurant analysis, hospitality analytics, restaurant data for delivery apps, opentable api alternative, restaurant dataset csv, restaurant review extraction, new york restaurant data, restaurant price band tracking, dining data extraction, restaurant prospect lists

# Actor input Schema

## `searchTerm` (type: `string`):

Search query for OpenTable, e.g. "new york", "italian san francisco", or a restaurant name. Leave empty if you provide startUrls.

## `startUrls` (type: `array`):

Direct OpenTable restaurant profile URLs (https://www.opentable.com/r/...). If provided, these are scraped directly instead of searching.

## `maxRestaurants` (type: `integer`):

Maximum number of restaurant profiles to scrape.

## `maxReviewsPerRestaurant` (type: `integer`):

Maximum number of individual reviews to collect per restaurant.

## `includeAvailability` (type: `boolean`):

Fetch real-time reservation availability slots for the requested date/time.

## `includeReviews` (type: `boolean`):

Include individual diner reviews (text, ratings, reviewer info).

## `includeMenus` (type: `boolean`):

Include full menu data (sections, items, prices).

## `dateTime` (type: `string`):

Date and time for availability slots, e.g. "2026-09-20T19:00:00". Uses the restaurant's local timezone. Defaults to today at 7 PM.

## `partySize` (type: `integer`):

Number of diners for availability lookups.

## Actor input object example

```json
{
  "searchTerm": "new york",
  "maxRestaurants": 50,
  "maxReviewsPerRestaurant": 10,
  "includeAvailability": true,
  "includeReviews": true,
  "includeMenus": true,
  "partySize": 2
}
```

# Actor output Schema

## `restaurants` (type: `string`):

No description

## `reviews` (type: `string`):

No description

## `menus` (type: `string`):

No description

## `availability` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "searchTerm": "new york"
};

// Run the Actor and wait for it to finish
const run = await client.actor("ahmed_jasarevic/opentable-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "searchTerm": "new york" }

# Run the Actor and wait for it to finish
run = client.actor("ahmed_jasarevic/opentable-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "searchTerm": "new york"
}' |
apify call ahmed_jasarevic/opentable-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,ahmed_jasarevic/opentable-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/3kCDLj03vvG4ZeCnw/builds/51U199lsWlaRtlUBg/openapi.json