Zomato Reviews Scraper

🍽️ Read Zomato restaurant feedback in one dataset

Restaurant teams and researchers can collect public Zomato reviews from restaurant URLs. Get full review text, ratings, and available reviewer details, comments, and management replies to study customer feedback without copying each review by hand.

Use cases

• Gather feedback for a restaurant with Zomato Reviews.
• Build a review dataset with Zomato Reviews Scraper.
• Read customer feedback across venues with Zomato Restaurant Reviews.
• Keep review text and source links together with Zomato Review Scraper.
• Prepare feedback for your own analysis with Restaurant Reviews.

📄 Zomato review text and source details

Each saved row is one public restaurant review. It includes full text and a restaurant link. Other fields appear when Zomato provides them, such as ratings, posting times, dining or delivery labels, reviewer profiles, likes, tags, photo links, comments, and management replies.

The Actor returns source data. It does not calculate sentiment scores or restaurant summaries, and it does not download photos.

▶️ Collect reviews from your restaurant URLs

1. Add one or more Zomato restaurant or review-page URLs.
2. Set a review limit per restaurant, or leave it empty to collect all available reviews until the source is exhausted.
3. Start the run and open Restaurant reviews in the output.

If one restaurant is unavailable, the run continues with the other URLs. Public access and available review counts can vary by restaurant.

⚙️ Input

Input fields

Field	Type	What it does
startUrls	array of objects	Required list of Zomato restaurant or review-page URLs. Each object has a url value.
maxReviewsPerRestaurant	integer	Optional positive review limit for each restaurant. Leave it empty to return all available reviews until the source is exhausted. The source may provide fewer reviews than requested.

Successful default input

This public input is copied from the successful hosted default-input run.

{
  "startUrls": [
    {
      "url": "https://www.zomato.com/bangalore/meghana-foods-jayanagar"
    }
  ],
  "maxReviewsPerRestaurant": 10
}

🧾 Output

Dataset link

Field	Type	What it does
reviews	string	Link to the collected restaurant reviews in a table.

Review fields

Only restaurantUrl and text are required. Other fields may be absent when the source does not provide them.

Field	Type	What it does
reviewId	string	Source ID for matching the review across runs.
reviewUrl	string	Source link to the review.
restaurantUrl	string	Source link to the restaurant.
restaurantId	string	Source ID for grouping reviews from the same restaurant.
restaurantName	string	Restaurant name shown by Zomato.
text	string	Full review text shown by the source.
rating	number	Source-reported review rating.
postedTime	string	Posting date or relative time shown by the source.
experience	string	Dining or delivery category shown for the review.
reviewer	object	Public reviewer details.
reviewer.id	string	Source ID for the reviewer.
reviewer.name	string	Reviewer name.
reviewer.profileUrl	string	Source link to the reviewer profile.
reviewer.imageUrl	string	Source link to the reviewer image.
reviewer.reviewCount	integer	Review total reported for the reviewer.
reviewer.followerCount	integer	Follower total reported for the reviewer.
likeCount	integer	Review like total reported by the source.
commentCount	integer	Comment total reported by the source, which may include comments not returned here.
tags	array of strings	Review tags shown by the source.
photoUrls	array of strings	Source links to attached review photos.
comments	array of objects	Available public comments.
comments[].id	string	Source ID for a comment.
comments[].text	string	Full comment text.
comments[].postedTime	string	Comment posting date or relative time.
comments[].author	object	Public comment author details.
comments[].author.id	string	Source ID for the comment author.
comments[].author.name	string	Comment author name.
comments[].author.profileUrl	string	Source link to the comment author profile.
managementResponses	array of objects	Available public restaurant management replies.
managementResponses[].text	string	Full reply text.
managementResponses[].postedTime	string	Reply posting date or relative time.
managementResponses[].authorName	string	Name shown for the person or restaurant replying.
externalReferences	array of objects	External references attached to the review by the source.
externalReferences[].url	string	Source link to the external reference.
externalReferences[].title	string	Reference title shown by the source.

Example review

This complete row is copied from a successful run on the current beta build. Source text may contain HTML tags.

{
  "reviewId": "37792563",
  "reviewUrl": "https://www.zoma.to/vpmnke",
  "restaurantUrl": "https://www.zomato.com/ahmedabad/behrouz-biryani-vejalpur",
  "restaurantId": "18371311",
  "restaurantName": "Behrouz Biryani",
  "text": "Biryani is An Emotion<br/>Behrouz serves one of the Finest Biryani made with all the Amazing spices which makes you Drool while opening.××××××××××××××××××××××××××××××××××××××××××××××<br/>                    <br/>I ordered Dum Gosht Biryani (Boneless)<br/>Read The Full Review On My Blog :)",
  "rating": 4,
  "postedTime": "Jul 24, 2018",
  "experience": "dining",
  "reviewer": {
    "id": "48022357",
    "name": "Durgam",
    "profileUrl": "https://www.zomato.com/RuthwikKumar",
    "imageUrl": "https://b.zmtcdn.com/data/user_profile_pictures/927/3e91d5cfb17c1fa75dcb4f736358d927.jpg?fit=around%7C100%3A100&crop=100%3A100%3B%2A%2C%2A",
    "reviewCount": 0,
    "followerCount": 2890
  },
  "likeCount": 4,
  "commentCount": 1,
  "tags": [],
  "photoUrls": [],
  "comments": [],
  "managementResponses": [
    {
      "text": "We hereby declare you as an official dweller of The kingdom of Behrouz!! (AA)",
      "postedTime": "Aug 26, 2020",
      "authorName": "Behrouz Biryani"
    }
  ],
  "externalReferences": [
    {
      "url": "https://www.zomato.com/spoonback?u=https%3A%2F%2Fnomnomfoodieinzo.wordpress.com%2F2018%2F07%2F24%2Fbehrouz-biryani%2F&r=37792563&to=48022357&k=08b63067f41044368e324d3b565a1622",
      "title": "Read full post on https://nomnomfoodieinzo.wordpress.com/2018/07/24/behrouz-biryani/"
    }
  ]
}

💳 Pricing

One review event is charged for each public restaurant review with full text saved to your dataset. The current event price appears in the pricing panel. A run with no saved reviews does not trigger this event.

🔌 Integrations

Open the review dataset in Apify, export it as JSON or CSV, or read its rows through the Apify dataset API for your own analysis.

❓ FAQ

What happens if one restaurant is unavailable?

The run continues with the other restaurant URLs. Access to every review or a full review history is not guaranteed.

Why can the comment total be larger than the comments array?

The source may report comments that are not publicly returned. The row keeps the source total and the available public comments.

Can I collect all available reviews?

Yes. Leave the review limit empty to collect all available reviews until the source is exhausted. A number sets a separate limit for each restaurant.

Does it find restaurants by city or keyword?

No. Add the restaurant or review-page URLs you want to read.

Does it score the feedback or download photos?

No. It returns source review data for your own analysis. Photos are returned as links when available.

📝 Changelog

v0.0 (04-10-2026)

• Initial release.

🆘 Support

For issues, questions, or feature requests, file a ticket and I'll fix or implement it in less than 24h 🫡

🔗 Related Actors

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• OpenTable + Resy Scraper: Collect restaurant profiles, cuisines, ratings, and prices from two dining platforms.
• Google Maps Shared List Scraper: Export saved restaurant lists with place details and ratings.

Made with ❤️ by Maxime Dupré