OpenTable Reviews Scraper ($2/1K) - Ratings, Text & Replies

What is OpenTable Reviews Scraper?

OpenTable Reviews Scraper extracts all reviews of any restaurant on OpenTable: star rating, review text, date, reviewer name and the restaurant's reply. Paste a OpenTable URL, click Start, and download the reviews as JSON, CSV, Excel, XML or HTML.

OpenTable is the largest restaurant booking platform in the world, with millions of verified diner reviews. With this scraper you can:

• ⭐ Scrape every review of a restaurant, or only the newest ones
• 💬 Get the review text and the restaurant's reply
• 📅 Fetch only new reviews since a given date, ideal for daily monitoring
• 🛡️ Get past bot protection: a real browser and a US residential proxy are included in the price
• 🔌 Connect the data to Google Sheets, Slack, Make, Zapier or your own app via the API

What data can I extract from OpenTable?

⭐ Star rating (1-5)	💬 Review text
👤 Reviewer name	📅 Publication date
↩️ Reply	🆔 Stable review ID
📝 Review title (if any)	🔗 Source URL

Why scrape OpenTable reviews?

• 🍽️ Restaurants and groups: track every new diner review
• 📈 Hospitality agencies: report on reputation for your restaurant clients
• 🔍 Competitor research: see how competing restaurants are rated
• 🤖 Sentiment analysis and AI: feed real customer feedback into your own analysis or LLM pipeline.

How do I use OpenTable Reviews Scraper?

1. Create a free Apify account.
2. Open the restaurant on OpenTable and copy the URL of its restaurant page (/r/...), for example https://www.opentable.com/r/red-rooster-harlem-new-york.
3. Paste it into the OpenTable restaurant URL field.
4. Optionally set Max reviews, or Only reviews after to fetch only reviews since a given date.
5. Click Start and wait for the run to finish.
6. Download your data from the Output tab in JSON, CSV, Excel, XML or HTML.

How much does scraping OpenTable cost?

You pay per review that ends up in your dataset: $2.00 per 1,000 reviews, plus $0.05 per run ($0.025 per GB of memory; the default is 2 GB) for starting the browser and proxy. No subscription, no rental fee. The monthly credits in Apify's free plan cover a couple of thousand reviews.

💡 Tip: for monitoring, schedule a daily run with Only reviews after set to the date of your last run. You only pay for new reviews.

You can set a maximum cost per run in the run options; the scraper stops when it is reached.

⬇️ Input

The only required field is the restaurant URL. See the Input tab for all options.

Field	Description
OpenTable restaurant URL (url)	The restaurant page (/r/...) on OpenTable
Max reviews (limit)	Stop after this many reviews, newest first. Empty = all reviews
Only reviews after (cutoff_date)	Skip reviews published before this date
Proxy (proxyConfiguration)	US residential proxy, on by default and included in the price. Keep it on: OpenTable blocks data-center IPs

{
    "url": "https://www.opentable.com/r/red-rooster-harlem-new-york",
    "limit": 100,
    "cutoff_date": "2026-01-01"
}

⬆️ Output sample

Each review is one item in the dataset. View it as a table in the Output tab or download it in JSON, CSV, Excel, XML or HTML.

📘 Scraped OpenTable review sample (illustrative)

{
    "id": "123456789",
    "author": "Jessica M.",
    "rating": 5,
    "title": null,
    "text": "Great experience from start to finish, would recommend!",
    "published_at": "2026-09-14T00:00:00+00:00",
    "reply": "Thank you so much, Jessica!",
    "replied_at": null,
    "source_url": "https://www.opentable.com/r/red-rooster-harlem-new-york"
}

Field	Description
id	OpenTable's review ID; stable across runs, so you can deduplicate on it
rating	Star rating (1-5), or null if the review has no score
title	Review title, or null when OpenTable has none
text	Review text
published_at	Publication date in ISO 8601 (UTC)
reply	The restaurant's public reply, or null
replied_at	Reply date, or null when OpenTable doesn't publish it
source_url	The OpenTable URL you scraped

All our review scrapers use this same format, so you can combine datasets from different sites directly. See for example our Kiyoh Reviews Scraper.

🔌 Integrations

Connect OpenTable Reviews Scraper to almost any cloud service or web app with Apify integrations: Make, Zapier, Slack, Google Sheets, Google Drive, Airbyte, GitHub and more. Or use webhooks to trigger an action when a run finishes, for example to post new reviews to Slack.

💻 Using OpenTable Reviews Scraper with the Apify API

The Apify API lets you start runs, schedule them and fetch results from your own code. Use the Python or JavaScript client, or call the scraper from AI agents through the Apify MCP server. The API tab has ready-to-use code.

❓ FAQ

Can I scrape multiple restaurants at once?

Run the scraper once per restaurant. To monitor several, create a task per restaurant and schedule them, or start runs from the API.

Do I need a OpenTable account?

No. The scraper only reads publicly visible reviews.

Do I need proxies to scrape OpenTable?

Yes, but you don't have to set anything up: a US residential proxy is on by default and its cost is included in the price per review. If a request still gets blocked, the scraper retries once on a fresh IP automatically.

Anything special about OpenTable data?

OpenTable uses Akamai bot protection. The scraper opens the restaurant page once in a real browser, then reads the reviews from OpenTable's own API. Runs take a bit longer and need more memory than a plain HTTP scraper.

My run failed. What now?

Check the status message of the run. "Invalid input" or "not found" means the URL doesn't point to a OpenTable restaurant page: open it in your browser and copy it again. "Blocked" means OpenTable refused the request; run it again, and keep the proxy on.

Is it legal to scrape OpenTable reviews?

This scraper only collects publicly visible reviews. Reviews can contain personal data, such as reviewer names, which is protected by the GDPR in the EU and by other regulations elsewhere. Only scrape and store personal data when you have a legitimate reason, and consult your lawyer if you are unsure. Read more in Apify's post on the legality of web scraping.

Your feedback

Found a bug or missing a field? Open an issue in the Issues tab and we'll look into it.

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