Thuisbezorgd Reviews Scraper

What is Thuisbezorgd Reviews Scraper?

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

Thuisbezorgd is the largest food delivery platform in the Netherlands, with thousands of restaurants and millions of customer ratings. 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
• ⚡ Run fast: no browser needed, 30 reviews per request, Dutch residential proxy included
• 🔌 Connect the data to Google Sheets, Slack, Make, Zapier or your own app via the API

What data can I extract from Thuisbezorgd?

⭐ Star rating (1-5)	💬 Review text
👤 Reviewer name	📅 Publication date
↩️ Restaurant reply	🆔 Stable review ID
🔗 Restaurant URL

Why scrape Thuisbezorgd reviews?

• 🍕 Restaurant owners: keep track of what customers say about your food and delivery, and spot problems early.
• 🏢 Restaurant chains and franchises: compare ratings across all your locations in one dataset.
• 🔍 Competitor research: see how competing restaurants in your area are rated, and why.
• 📊 Market research: analyse cuisines, cities or delivery quality at scale.
• 🤖 Sentiment analysis and AI: feed real customer feedback into your own analysis or LLM pipeline.

How do I use Thuisbezorgd Reviews Scraper?

1. Create a free Apify account.
2. Open the restaurant on thuisbezorgd.nl and copy the URL, for example https://www.thuisbezorgd.nl/menu/tandoori-restaurant.
3. Paste it into the Thuisbezorgd 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 Thuisbezorgd cost?

You pay per review that ends up in your dataset: $2.00 per 1,000 reviews. 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
Thuisbezorgd restaurant URL (url)	The restaurant's page on thuisbezorgd.nl (/menu/...)
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)	Dutch residential proxy, on by default and included in the price. Keep it on: Thuisbezorgd blocks data-center IPs

{
    "url": "https://www.thuisbezorgd.nl/menu/tandoori-restaurant",
    "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 Thuisbezorgd review sample

{
    "id": "11652785091",
    "author": "M",
    "rating": 5,
    "title": null,
    "text": "Eten was heerlijk en de bezorger was super vriendelijk.",
    "published_at": "2026-10-18T19:27:22+00:00",
    "reply": "Dank je wel, graag tot de volgende keer!",
    "replied_at": null,
    "source_url": "https://www.thuisbezorgd.nl/menu/tandoori-restaurant"
}

Field	Description
id	Thuisbezorgd's review ID; stable across runs, so you can deduplicate on it
rating	Star rating (1-5)
text	Review text, or null for rating-only reviews
published_at	Publication date in ISO 8601 (UTC)
reply	The restaurant's public reply, or null
title, replied_at	Always null: Thuisbezorgd reviews have no title, and reply dates are not published. Kept so the format matches our other review scrapers
source_url	The restaurant URL you scraped

Want to scrape other Dutch review sites?

Use our Kiyoh Reviews Scraper for companies on Kiyoh. It uses the same input and output format, so you can combine the datasets directly.

🔌 Integrations

Connect Thuisbezorgd 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 Thuisbezorgd 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

Why do some reviews have no text?

Many Thuisbezorgd customers only leave a star rating. Those reviews are included with text set to null, so your ratings and averages stay complete. Filter on text if you only want written reviews.

Can I scrape multiple restaurants at once?

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

Do I need a Thuisbezorgd account?

No. The scraper only reads publicly visible reviews.

Do I need proxies to scrape Thuisbezorgd?

Yes, but you don't have to set anything up: a Dutch residential proxy is on by default and its cost is included in the price per review. Thuisbezorgd blocks data-center IPs, so keep it on. If a request still gets blocked, the scraper retries once on a fresh IP automatically.

My run failed with "restaurant not found". What now?

The URL does not point to an existing restaurant. Open it in your browser to check, and copy the URL again from the restaurant's page on thuisbezorgd.nl.

Is it legal to scrape Thuisbezorgd 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.