Swiggy Phone Number Scraper

Pricing

$19.99/month + usage

Swiggy Phone Number Scraper

Swiggy Phone Number Scraper extracts publicly listed restaurant phone numbers from Swiggy listings. Build targeted calling lists by city or cuisine. Ideal for suppliers, marketers, and agencies running restaurant outreach campaigns.

Pricing

$19.99/month + usage

Rating

0.0

(0)

Developer

Scraper Engine

Maintained by Community

Actor stats

Bookmarked

Total users

Monthly active users

8 hours ago

Last modified

Categories

Automation

Lead generation

Other

You can access the Swiggy Phone Number Scraper programmatically from your own applications by using the Apify API. You can also 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

{
  "openapi": "3.0.1",
  "info": {
    "version": "0.1",
    "x-build-id": "JzmIHQt5xj3FxVUkz"
  },
  "servers": [
    {
      "url": "https://api.apify.com/v2"
    }
  ],
  "paths": {
    "/acts/scraper-engine~swiggy-phone-number-scraper/run-sync-get-dataset-items": {
      "post": {
        "operationId": "run-sync-get-dataset-items-scraper-engine-swiggy-phone-number-scraper",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK"
          }
        }
      }
    },
    "/acts/scraper-engine~swiggy-phone-number-scraper/runs": {
      "post": {
        "operationId": "runs-sync-scraper-engine-swiggy-phone-number-scraper",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor and returns information about the initiated run in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/runsResponseSchema"
                }
              }
            }
          }
        }
      }
    },
    "/acts/scraper-engine~swiggy-phone-number-scraper/run-sync": {
      "post": {
        "operationId": "run-sync-scraper-engine-swiggy-phone-number-scraper",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK"
          }
        }
      }
    }
  },
  "components": {
    "schemas": {
      "inputSchema": {
        "type": "object",
        "required": [
          "keywords",
          "country"
        ],
        "properties": {
          "keywords": {
            "title": "Keywords / Usernames / URLs",
            "type": "array",
            "description": "A list of keywords, Swiggy usernames, or profile URLs to search for. Example: [\"marketing\", \"founder\"].",
            "items": {
              "type": "string"
            }
          },
          "platform": {
            "title": "Platform",
            "enum": [
              "Swiggy"
            ],
            "type": "string",
            "description": "Select platform. For now this actor targets Swiggy via google.com SERP.",
            "default": "Swiggy"
          },
          "country": {
            "title": "Country",
            "enum": [
              "Afghanistan (+93)",
              "Albania (+355)",
              "Algeria (+213)",
              "Andorra (+376)",
              "Angola (+244)",
              "Antigua And Barbuda (+1-268)",
              "Argentina (+54)",
              "Armenia (+374)",
              "Australia (+61)",
              "Austria (+43)",
              "Azerbaijan (+994)",
              "Bahamas (+1-242)",
              "Bahrain (+973)",
              "Bangladesh (+880)",
              "Barbados (+1-246)",
              "Belarus (+375)",
              "Belgium (+32)",
              "Belize (+501)",
              "Benin (+229)",
              "Bhutan (+975)",
              "Bolivia (+591)",
              "Bosnia And Herzegovina (+387)",
              "Botswana (+267)",
              "Brazil (+55)",
              "Brunei (+673)",
              "Bulgaria (+359)",
              "Burkina Faso (+226)",
              "Burundi (+257)",
              "Cambodia (+855)",
              "Cameroon (+237)",
              "Canada (+1)",
              "Cape Verde (+238)",
              "Central African Republic (+236)",
              "Chad (+235)",
              "Chile (+56)",
              "China (+86)",
              "Colombia (+57)",
              "Comoros (+269)",
              "Congo (Democratic Republic) (+243)",
              "Congo (Republic) (+242)",
              "Costa Rica (+506)",
              "Croatia (+385)",
              "Cuba (+53)",
              "Cyprus (+357)",
              "Czech Republic (+420)",
              "Denmark (+45)",
              "Djibouti (+253)",
              "Dominica (+1-767)",
              "Dominican Republic (+1-809)",
              "East Timor (+670)",
              "Ecuador (+593)",
              "Egypt (+20)",
              "El Salvador (+503)",
              "Equatorial Guinea (+240)",
              "Eritrea (+291)",
              "Estonia (+372)",
              "Eswatini (+268)",
              "Ethiopia (+251)",
              "Fiji (+679)",
              "Finland (+358)",
              "France (+33)",
              "Gabon (+241)",
              "Gambia (+220)",
              "Georgia (+995)",
              "Germany (+49)",
              "Ghana (+233)",
              "Greece (+30)",
              "Grenada (+1-473)",
              "Guatemala (+502)",
              "Guinea (+224)",
              "Guinea-Bissau (+245)",
              "Guyana (+592)",
              "Haiti (+509)",
              "Honduras (+504)",
              "Hungary (+36)",
              "Iceland (+354)",
              "India (+91)",
              "Indonesia (+62)",
              "Iran (+98)",
              "Iraq (+964)",
              "Ireland (+353)",
              "Israel (+972)",
              "Italy (+39)",
              "Jamaica (+1-876)",
              "Japan (+81)",
              "Jordan (+962)",
              "Kazakhstan (+7)",
              "Kenya (+254)",
              "Kiribati (+686)",
              "Korea, North (+850)",
              "Korea, South (+82)",
              "Kuwait (+965)",
              "Kyrgyzstan (+996)",
              "Laos (+856)",
              "Latvia (+371)",
              "Lebanon (+961)",
              "Lesotho (+266)",
              "Liberia (+231)",
              "Libya (+218)",
              "Liechtenstein (+423)",
              "Lithuania (+370)",
              "Luxembourg (+352)",
              "Madagascar (+261)",
              "Malawi (+265)",
              "Malaysia (+60)",
              "Maldives (+960)",
              "Mali (+223)",
              "Malta (+356)",
              "Marshall Islands (+692)",
              "Mauritania (+222)",
              "Mauritius (+230)",
              "Mexico (+52)",
              "Micronesia (+691)",
              "Moldova (+373)",
              "Monaco (+377)",
              "Mongolia (+976)",
              "Montenegro (+382)",
              "Morocco (+212)",
              "Mozambique (+258)",
              "Myanmar (+95)",
              "Namibia (+264)",
              "Nauru (+674)",
              "Nepal (+977)",
              "Netherlands (+31)",
              "New Zealand (+64)",
              "Nicaragua (+505)",
              "Niger (+227)",
              "Nigeria (+234)",
              "North Macedonia (+389)",
              "Norway (+47)",
              "Oman (+968)",
              "Pakistan (+92)",
              "Palau (+680)",
              "Panama (+507)",
              "Papua New Guinea (+675)",
              "Paraguay (+595)",
              "Peru (+51)",
              "Philippines (+63)",
              "Poland (+48)",
              "Portugal (+351)",
              "Qatar (+974)",
              "Romania (+40)",
              "Russia (+7)",
              "Rwanda (+250)",
              "Saint Kitts And Nevis (+1-869)",
              "Saint Lucia (+1-758)",
              "Saint Vincent And The Grenadines (+1-784)",
              "Samoa (+685)",
              "San Marino (+378)",
              "Sao Tome And Principe (+239)",
              "Saudi Arabia (+966)",
              "Senegal (+221)",
              "Serbia (+381)",
              "Seychelles (+248)",
              "Sierra Leone (+232)",
              "Singapore (+65)",
              "Slovakia (+421)",
              "Slovenia (+386)",
              "Solomon Islands (+677)",
              "Somalia (+252)",
              "South Africa (+27)",
              "South Sudan (+211)",
              "Spain (+34)",
              "Sri Lanka (+94)",
              "Sudan (+249)",
              "Suriname (+597)",
              "Sweden (+46)",
              "Switzerland (+41)",
              "Syria (+963)",
              "Taiwan (+886)",
              "Tajikistan (+992)",
              "Tanzania (+255)",
              "Thailand (+66)",
              "Togo (+228)",
              "Tonga (+676)",
              "Trinidad And Tobago (+1-868)",
              "Tunisia (+216)",
              "Turkey (+90)",
              "Turkmenistan (+993)",
              "Tuvalu (+688)",
              "Uganda (+256)",
              "Ukraine (+380)",
              "United Arab Emirates (+971)",
              "United Kingdom (+44)",
              "United States (+1)",
              "Uruguay (+598)",
              "Uzbekistan (+998)",
              "Vanuatu (+678)",
              "Vatican City (+39-06)",
              "Venezuela (+58)",
              "Vietnam (+84)",
              "Yemen (+967)",
              "Zambia (+260)",
              "Zimbabwe (+263)"
            ],
            "type": "string",
            "description": "Select a country to scrape related phone numbers. The dial code is used to normalize and filter phone numbers.",
            "default": "United Kingdom (+44)"
          },
          "maxPhoneNumbers": {
            "title": "Max Phone Numbers",
            "minimum": 1,
            "maximum": 10000,
            "type": "integer",
            "description": "Maximum number of phone numbers to collect per keyword. The scraper will stop once this limit is reached.",
            "default": 20
          },
          "engine": {
            "title": "Engine",
            "enum": [
              "legacy"
            ],
            "type": "string",
            "description": "Choose scraping engine. 'cost-effective' uses RESIDENTIAL proxies; 'legacy' uses GOOGLE_SERP proxy.",
            "default": "legacy"
          },
          "proxyConfiguration": {
            "title": "Proxy Configuration",
            "type": "object",
            "description": "Configure proxies for this Actor (Apify proxy). The actor will enforce legal GOOGLE_SERP or RESIDENTIAL groups depending on Engine."
          }
        }
      },
      "runsResponseSchema": {
        "type": "object",
        "properties": {
          "data": {
            "type": "object",
            "properties": {
              "id": {
                "type": "string"
              },
              "actId": {
                "type": "string"
              },
              "userId": {
                "type": "string"
              },
              "startedAt": {
                "type": "string",
                "format": "date-time",
                "example": "2025-01-08T00:00:00.000Z"
              },
              "finishedAt": {
                "type": "string",
                "format": "date-time",
                "example": "2025-01-08T00:00:00.000Z"
              },
              "status": {
                "type": "string",
                "example": "READY"
              },
              "meta": {
                "type": "object",
                "properties": {
                  "origin": {
                    "type": "string",
                    "example": "API"
                  },
                  "userAgent": {
                    "type": "string"
                  }
                }
              },
              "stats": {
                "type": "object",
                "properties": {
                  "inputBodyLen": {
                    "type": "integer",
                    "example": 2000
                  },
                  "rebootCount": {
                    "type": "integer",
                    "example": 0
                  },
                  "restartCount": {
                    "type": "integer",
                    "example": 0
                  },
                  "resurrectCount": {
                    "type": "integer",
                    "example": 0
                  },
                  "computeUnits": {
                    "type": "integer",
                    "example": 0
                  }
                }
              },
              "options": {
                "type": "object",
                "properties": {
                  "build": {
                    "type": "string",
                    "example": "latest"
                  },
                  "timeoutSecs": {
                    "type": "integer",
                    "example": 300
                  },
                  "memoryMbytes": {
                    "type": "integer",
                    "example": 1024
                  },
                  "diskMbytes": {
                    "type": "integer",
                    "example": 2048
                  }
                }
              },
              "buildId": {
                "type": "string"
              },
              "defaultKeyValueStoreId": {
                "type": "string"
              },
              "defaultDatasetId": {
                "type": "string"
              },
              "defaultRequestQueueId": {
                "type": "string"
              },
              "buildNumber": {
                "type": "string",
                "example": "1.0.0"
              },
              "containerUrl": {
                "type": "string"
              },
              "usage": {
                "type": "object",
                "properties": {
                  "ACTOR_COMPUTE_UNITS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_WRITES": {
                    "type": "integer",
                    "example": 1
                  },
                  "KEY_VALUE_STORE_LISTS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_INTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_SERPS": {
                    "type": "integer",
                    "example": 0
                  }
                }
              },
              "usageTotalUsd": {
                "type": "number",
                "example": 0.00005
              },
              "usageUsd": {
                "type": "object",
                "properties": {
                  "ACTOR_COMPUTE_UNITS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_WRITES": {
                    "type": "number",
                    "example": 0.00005
                  },
                  "KEY_VALUE_STORE_LISTS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_INTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_SERPS": {
                    "type": "integer",
                    "example": 0
                  }
                }
              }
            }
          }
        }
      }
    }
  }
}

Swiggy Phone Number 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 Phone Number Scraper from the options below:

OpenAPI.json

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:

Swiggy Phone Number Scraper API in Python

Swiggy Phone Number Scraper API in JavaScript

Swiggy Phone Number Scraper API through CLI

Swiggy Phone Number Scraper API

Swiggy Email Scraper

scraper-engine/swiggy-email-scraper

Swiggy Email Scraper extracts publicly available restaurant email addresses from Swiggy listings. Build targeted contact lists by city or cuisine. Ideal for suppliers, marketers, and agencies running restaurant outreach campaigns.

Scraper Engine

Swiggy Phone Number Scraper

scrapio/swiggy-phone-number-scraper

Swiggy Phone Number Scraper helps you collect restaurant phone numbers directly from Swiggy pages. Use the data for supplier outreach, partnerships, and local sales campaigns. Fast, scalable scraping with clean exports.

Scrapio

Swiggy Phone Number Scraper – Cheapest 📞🍔

contactminerlabs/swiggy-phone-number-scraper---cheapest

🔍 Scrape Swiggy Phone Numbers Instantly Enter a keyword & extract phone numbers from Swiggy restaurant and partner listings, including restaurant name phone number & URL 📞 Perfect for restaurant partnerships, food delivery services, sales teams, lead generation & enriching your data pipelines 🚀

ContactMinerLabs

5.0

Doordash Phone Number Scraper

scraper-engine/doordash-phone-number-scraper

DoorDash Phone Number Scraper extracts publicly listed restaurant phone numbers from DoorDash listings. Build targeted calling lists by city or cuisine. Ideal for suppliers, marketers, and agencies running restaurant outreach campaigns.

Scraper Engine

Swiggy Email Scraper

scrapio/swiggy-email-scraper

Swiggy Email Scraper helps you collect restaurant emails directly from Swiggy pages. Use the data for supplier outreach, partnerships, and local sales campaigns. Fast, scalable scraping with clean, export-ready results.

Scrapio

Swiggy Email Scraper - Advanced, Fast & Cheapest

contacts-api/swiggy-email-scraper-fast-advanced-and-cheapest

🍽️ Swiggy Email Scraper allows you to gather restaurant and business emails from Swiggy listings fast 📍 Grow food delivery partnerships and marketing 📧

Lead Heaven

Swiggy Email Scraper – Cheapest 📧🍔

contactminerlabs/swiggy-email-scraper---cheapest

🔍 Scrape Swiggy Emails Instantly Enter a keyword and extract email addresses from Swiggy restaurant listings, including restaurant name, email address, and profile URL 📧 Perfect for restaurant partnerships, food delivery services, sales teams, lead generation and enriching your data pipelines 🚀

ContactMinerLabs

5.0

Swiggy Email Scraper

scraper-mind/swiggy-email-scraper

Extract verified restaurant emails from Swiggy with the Swiggy Email Scraper! Perfect for lead gen, partnerships & market research. Filter by keyword, location, domain & export data in JSON, CSV, Excel. Fast, accurate & proxy-supported scraping! ⚡🍽️

Scraper Mind

Uber Eats Phone Number Scraper

scraper-engine/uber-eats-phone-number-scraper

Uber Eats Phone Number Scraper extracts publicly listed restaurant phone numbers from Uber Eats listings. Build targeted calling lists by city or cuisine. Ideal for suppliers, marketers, and agencies running restaurant outreach campaigns.

Scraper Engine

Tripadvisor Phone Number Scraper

scraper-engine/tripadvisor-phone-number-scraper

Trip.com Phone Number Scraper extracts publicly listed hotel and business phone numbers from Trip.com listings. Build targeted calling lists by city or property type. Ideal for travel marketers, agencies, and B2B suppliers.

Scraper Engine