List of Fast food restaurants in Indonesia
Download the complete database of Fast food restaurants in Indonesia. Our detailed B2B list consists of 5021 records with email addresses, phone numbers, contact details, social media profiles, and much more in one place. It is your one-stop place for all the essential details you need on Fast food restaurants for lead generation and market analysis. When you download our Fast food restaurants across Indonesia dataset, you get to achieve operational efficiency and achieve your desired outcomes.
- 5 021 Fast food restaurants in Indonesia
- 2 813 Phone Numbers
- 14 Emails
Data updated on October 01, 2025
How to download the data of Fast food restaurants in Indonesia?
As a B2B database provider, we offer a complete list of Fast food restaurants in Indonesia at an affordable price. Our datasets are reliable, accurate, and up-to-date with timestamps. Download the complete list of Fast food restaurants in Indonesia database in CSV format now. Get instant access to detailed data, including geolocation, contact information, and insights tailored to your needs.
Download Free Sample List of Fast food restaurants in Indonesia
Still confused? You can get started with a free sample list of Fast food restaurants in Indonesia. The sample Fast food restaurants dataset covers all the key fields such as name, location, contact information, geolocation, and more. Our database covers 5021 Fast food restaurants across the country. Download the sample instantly - No credit card required.
| Name | Rating | Review | Url | Phone | Address | City | State/Territory | Country | |
|---|---|---|---|---|---|---|---|---|---|
| D’Chef Terrace Food Truck | 0 | 0 | Denpasar | BA | ID | ||||
| Mie padeh Bang ewok | 0 | 0 | Pekanbaru | RI | ID | ||||
| Pasar baru bayang | 0 | 0 | Kabupaten Pesisir Selatan | SB | ID | ||||
| BAKSO KUMIS MAKASSAR | 4.3 | 6 | Makassar | SN | ID | ||||
| Chicken Paikut Tanjung Duren | 4 | 1 | Jakarta | JK | ID | ||||
| King Geprek | 3.8 | 13 | Kota Gorontalo | GO | ID | ||||
| Dapur Bang Oling | 5 | 4 | Bekasi | JB | ID | ||||
| Soto seger & Sop Iga mbah Wongso. | 4.4 | 183 | Delanggu | JT | ID | ||||
| d'Besto - Kebon Kopi | 4.3 | 817 | Cimahi | JB | ID | ||||
| BAJIGUR & BANDREK Cabang kaloran | 0 | 0 | Serang | BT | ID |
| Name | Name of the Fast food restaurants. |
| Address | Full postal address, including street, city, state, and country. |
| Pincode | The postal code of the Fast food restaurants location. |
| Phone Number | Fast food restaurants location phone number. |
| Email Address | Associated email address of the Fast food restaurants location. |
| Domain URL | Website URL of the Fast food restaurants. |
| Facebook Profile | Link to the Fast food restaurants Facebook Profile. |
| X (formerly Twitter) | Link to the Fast food restaurants X (Twitter). |
| Instagram Profile | Link to the Fast food restaurants Instagram Profile. |
| Snapchat Profile | Link to the Fast food restaurants Snapchat Profile. |
| WhatsApp Account | Link to the Fast food restaurants WhatsApp number. |
| TikTok Account | Link to the Fast food restaurants TikTok Account. |
| LinkedIn Account | Link to the Fast food restaurants LinkedIn Profile. |
| YouTube Channel | Link to the Fast food restaurants YouTube Channel. |
| Image URL | Links to images for a visual representation. |
| Latitude & Longitude | Fast food restaurants geo-coordinates for location-based services and targeted advertising. |
| City | The city where the Fast food restaurants is located. |
| State | The specific state or region within the country where the Fast food restaurants operates. |
| Country | The country, focused on Fast food restaurants for this dataset. |
How many Fast food restaurants are there in each state/territory?
| 153 Records | North Sumatra database list has 153 records |  |
| 77 Records | Central Kalimantan database list has 77 records | |
| 279 Records | South Sulawesi database list has 279 records | |
| 59 Records | Southeast Sulawesi database list has 59 records | |
| 257 Records | Central Java database list has 257 records | |
| 138 Records | East Kalimantan database list has 138 records | |
| 67 Records | Riau Islands database list has 67 records | |
| 92 Records | North Sulawesi database list has 92 records | |
| 224 Records | Riau database list has 224 records | |
| 261 Records | Banten database list has 261 records | |
| 198 Records | Lampung database list has 198 records | |
| 58 Records | Gorontalo database list has 58 records | |
| 88 Records | Central Sulawesi database list has 88 records | |
| 119 Records | West Nusa Tenggara database list has 119 records | |
| 64 Records | Jambi database list has 64 records | |
| 188 Records | South Sumatra database list has 188 records | |
| 174 Records | South Kalimantan database list has 174 records | |
| 127 Records | Aceh database list has 127 records | |
| 827 Records | West Java database list has 827 records | |
| 376 Records | Bali database list has 376 records | |
| 433 Records | East Java database list has 433 records | |
| 131 Records | West Sumatra database list has 131 records | |
| 321 Records | Special Region of Yogyakarta database list has 321 records | |
Number of states/territories in Indonesia without Fast food restaurants
Buy Fast food restaurants in Indonesia datasets Now!
Download this business data in adaptable formats. Right from CSV, Excel, and GeoJSON, to other notable formats, we are here to help with the desired format!
Reliable B2B Datasets For Digital Marketing & Lead Generation
Email Marketing
Business datasets provide accurate contact information, enabling personalized email campaigns. Boost your open rates and engagement, leading to more qualified leads.
Targeted Advertising
Utilize B2B datasets to launch highly targeted campaigns on Facebook Ads, Google Ads, and more. Deliver relevant ads that drive traffic and generate quality leads.
Cold Calling
Access to detailed sales datasets with contact numbers helps your sales team reach decision-makers directly. Save time and increase the chances of faster conversions effortlessly.
Access meticulously curated datasets for precise and reliable information.
Leverage industry-specific data to target your audience effectively.
Adaptable data solutions that grow with your business requirements.
