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Swiggy Restaurant Scraper

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Swiggy Restaurant Scraper

Swiggy Restaurant Scraper

infoweaver/my-actor
Try for free

Pay $5.00 for 1,000 Restaurants

Effortlessly extract restaurant data from Swiggy with our powerful scraper. Get restaurants URL ,and their ratings, offers, ads, delivery times, distances, cuisines, and more in few seconds.

You can access the Swiggy Restaurant Scraper programmatically from your own applications by using the Apify API. You can choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

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129  "components": {
130    "schemas": {
131      "inputSchema": {
132        "type": "object",
133        "required": [
134          "deliveryLocation",
135          "search"
136        ],
137        "properties": {
138          "deliveryLocation": {
139            "title": "Delivery Location ( Pin Code, or City, State or full address )",
140            "type": "string",
141            "description": "Enter the location (e.g., Pin code, City, State) for food delivery scraping."
142          },
143          "search": {
144            "title": "Search Cuisine or Restaurant  Eg PIZZA , KFC , SUBWAY",
145            "type": "string",
146            "description": "Enter the cuisine or restaurant name to scrape."
147          },
148          "maxResults": {
149            "title": "Maximum Number of Results (Default Set to 99999 )",
150            "type": "integer",
151            "description": "Specify the maximum number of results to return. Set to 99999.",
152            "default": 99999
153          },
154          "proxyConfiguration": {
155            "title": "Proxy Configuration",
156            "type": "object",
157            "description": "Configure proxy settings for the scraper to hide its origin. It is recommended to use a residential proxy with the delivery location's country.<br><br>For more details, see <a href='https://apify.com/apify/playwright-scraper#proxy-configuration' target='_blank' rel='noopener'>Proxy Configuration</a> in the documentation.",
158            "default": {
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160              "apifyProxyGroups": [
161                "RESIDENTIAL"
162              ],
163              "apifyProxyCountry": "IN"
164            }
165          }
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170        "properties": {
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173            "properties": {
174              "id": {
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176              },
177              "actId": {
178                "type": "string"
179              },
180              "userId": {
181                "type": "string"
182              },
183              "startedAt": {
184                "type": "string",
185                "format": "date-time",
186                "example": "2025-01-08T00:00:00.000Z"
187              },
188              "finishedAt": {
189                "type": "string",
190                "format": "date-time",
191                "example": "2025-01-08T00:00:00.000Z"
192              },
193              "status": {
194                "type": "string",
195                "example": "READY"
196              },
197              "meta": {
198                "type": "object",
199                "properties": {
200                  "origin": {
201                    "type": "string",
202                    "example": "API"
203                  },
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222                    "example": 0
223                  },
224                  "resurrectCount": {
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227                  },
228                  "computeUnits": {
229                    "type": "integer",
230                    "example": 0
231                  }
232                }
233              },
234              "options": {
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236                "properties": {
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238                    "type": "string",
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242                    "type": "integer",
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244                  },
245                  "memoryMbytes": {
246                    "type": "integer",
247                    "example": 1024
248                  },
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258              "defaultKeyValueStoreId": {
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261              "defaultDatasetId": {
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263              },
264              "defaultRequestQueueId": {
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266              },
267              "buildNumber": {
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270              },
271              "containerUrl": {
272                "type": "string"
273              },
274              "usage": {
275                "type": "object",
276                "properties": {
277                  "ACTOR_COMPUTE_UNITS": {
278                    "type": "integer",
279                    "example": 0
280                  },
281                  "DATASET_READS": {
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283                    "example": 0
284                  },
285                  "DATASET_WRITES": {
286                    "type": "integer",
287                    "example": 0
288                  },
289                  "KEY_VALUE_STORE_READS": {
290                    "type": "integer",
291                    "example": 0
292                  },
293                  "KEY_VALUE_STORE_WRITES": {
294                    "type": "integer",
295                    "example": 1
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297                  "KEY_VALUE_STORE_LISTS": {
298                    "type": "integer",
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300                  },
301                  "REQUEST_QUEUE_READS": {
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309                  "DATA_TRANSFER_INTERNAL_GBYTES": {
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312                  },
313                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
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315                    "example": 0
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317                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
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323                    "example": 0
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327              "usageTotalUsd": {
328                "type": "number",
329                "example": 0.00005
330              },
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390}

Swiggy Restaurant Scraper OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for Swiggy Restaurant Scraper from the options below:

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

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Maintained by Community

Actor Metrics

  • 3 monthly users

  • 1 bookmark

  • >99% runs succeeded

  • Created in Jan 2025

  • Modified 18 days ago