Top Websites
Based on data from the Semrush Traffic Analytics tool, this page reveals the most visited websites. We will be updating this list on a monthly basis, so you can keep track of all the market shifts and spot changes in user interest.
Most Visited Restaurants Websites in India, Updated October 2024
| Position | Website | Change | Visits | Pages / Visit | Bounce rate |
|---|---|---|---|---|---|
| 1 |  | – | 19,702,227 | 2.62 | 66.37% |
| 2 | zomato.com | – | 12,739,054 | 2.91 | 60.69% |
| 3 | dominos.co.in | – | 3,337,078 | 3.88 | 58.75% |
| 4 | kfc.co.in | – | 2,060,503 | 2.49 | 53.11% |
| 5 | barbequenation.com | 3 | 802,575 | 2.45 | 54.37% |
| 6 | eazydiner.com | – | 715,403 | 1.61 | 83.76% |
| 7 | tarladalal.com | 6 | 604,634 | 1.3 | 78.82% |
| 8 | dineout.co.in | 3 | 578,516 | 2.83 | 57.09% |
| 9 | ubereats.com | 2 | 494,102 | 4.54 | 51.05% |
| 10 | doordash.com | 4 | 468,303 | 4.28 | 60.24% |
| 11 | mcdelivery.co.in | 6 | 384,237 | 4.71 | 49.48% |
| 12 | mylocation.org | 18 | 379,300 | 1.08 | 95.87% |
| 13 | pizzahut.co.in | 3 | 337,587 | 5.83 | 69.46% |
| 14 |  | 5 | 289,934 | 3.12 | 62.48% |
| 15 | dominos.com | 3 | 288,447 | 1.14 | 96.44% |
| 16 | burgersinghonline.com | 7 | 253,697 | 1.88 | 64.82% |
| 17 | burgerking.in | 10 | 191,139 | 1.7 | 81.06% |
| 18 | opentable.com | 10 | 157,080 | 1.71 | 84.43% |
| 19 |  | 3 | 149,430 | 2.45 | 62.19% |
| 20 | fatsecret.com | 1 | 94,273 | 1.5 | 88.03% |
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Key Insights on Top Restaurants Websites in India in October 2024
As of October 2024, swiggy.com is the most visited Restaurants website in India, attracting 19.7M monthly visits. zomato.com follows with 12.74M visits, and dominos.co.in records 3.34M visits.
In terms of user engagement, the average number of pages per visit across these sites is 2.7, with pizzahut.co.in leading at 5.83 pages per visit.
The average bounce rate is 68.93%, with dominos.com having the highest at 96.44%.
And mcdelivery.co.in leads the way with the lowest bounce rate at 49.48%.
These insights come from the .Trends platform, enriched with extensive clickstream data.
Our AI algorithms analyze petabytes of information from a blend of proprietary and external data pools, reflecting the online activities of over 200 million anonymized users.
For more detailed information on our data-gathering and analysis process, please visit our information page here.
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Last updated: November 13, 2024
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