Pricing

from $1.99 / 1,000 results

Twitter Email Scraper

📧 Twitter Email Scraper extracts verified emails from Twitter profiles using smart parsing. ⚡ Save time on prospecting & outreach for sales, marketing, and recruiting. 🔎 Clean, targeted leads—ready for your CRM.

Pricing

from $1.99 / 1,000 results

Rating

0.0

(0)

Developer

Scraperoka

Actor stats

Bookmarked

Total users

Monthly active users

2 days ago

Last modified

Categories

Lead generation

Social media

Automation

You can access the Twitter Email 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": "0.0",
    "x-build-id": "8GZddS3NkC5o22ZZG"
  },
  "servers": [
    {
      "url": "https://api.apify.com/v2"
    }
  ],
  "paths": {
    "/acts/scraperoka~twitter-email-scraper/run-sync-get-dataset-items": {
      "post": {
        "operationId": "run-sync-get-dataset-items-scraperoka-twitter-email-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": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK"
          }
        }
      }
    },
    "/acts/scraperoka~twitter-email-scraper/runs": {
      "post": {
        "operationId": "runs-sync-scraperoka-twitter-email-scraper",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor and returns information about the initiated run in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$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": {
                  "$ref": "#/components/schemas/runsResponseSchema"
                }
              }
            }
          }
        }
      }
    },
    "/acts/scraperoka~twitter-email-scraper/run-sync": {
      "post": {
        "operationId": "run-sync-scraperoka-twitter-email-scraper",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$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"
        ],
        "properties": {
          "keywords": {
            "title": "Keywords",
            "type": "array",
            "description": "A list of keywords to search for.",
            "default": [
              "founder",
              "marketing"
            ],
            "items": {
              "type": "string"
            }
          },
          "location": {
            "title": "Location",
            "type": "string",
            "description": "Location to filter search results.",
            "default": ""
          },
          "platform": {
            "title": "Platform",
            "enum": [
              "Twitter"
            ],
            "type": "string",
            "description": "Select platform.",
            "default": "Twitter"
          },
          "customDomains": {
            "title": "Custom Email Domains",
            "type": "array",
            "description": "List of custom email domains",
            "default": [
              "@gmail.com"
            ],
            "items": {
              "type": "string"
            }
          },
          "maxEmails": {
            "title": "Max Emails",
            "minimum": 1,
            "maximum": 10000,
            "type": "integer",
            "description": "Maximum number of emails to collect. The scraper will stop once this limit is reached. Setting a higher limit allows for more potential results but doesn't guarantee reaching that number. This helps save costs by controlling scraping time.",
            "default": 20
          },
          "engine": {
            "title": "Engine",
            "enum": [
              "cost-effective",
              "legacy"
            ],
            "type": "string",
            "description": "Choose scraping engine. 🚀 Cost Effective (New): Uses residential proxies with async requests for faster, cheaper scraping. 🔧 Legacy: Uses GOOGLE_SERP proxy with traditional selectors - more reliable but slower and more expensive.",
            "default": "legacy"
          },
          "proxyConfiguration": {
            "title": "Proxy Configuration",
            "type": "object",
            "description": "Configure proxies for this Actor."
          }
        }
      },
      "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
                  }
                }
              }
            }
          }
        }
      }
    }
  }
}

Twitter Email 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 Twitter Email 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:

Twitter Email Scraper API in Python

Twitter Email Scraper API in JavaScript

Twitter Email Scraper API through CLI

Twitter Email Scraper API

Twitter (X) Email Scraper ✅ | $2 / 1K | No Login Needed

x_guru/twitter-email-scraper

Twitter email scraper | Extract verified emails from Twitter profiles — ultra-fast, no login or API keys required. ⚡ Fast & reliable 📧 Verified business emails only 🧠 Works without login or auth 📈 Up to 1,000,000 results per run 💰 $2 per 1,000 results

Hundevmode Labs

468

5.0

(3)

Maas X / Twitter Email Scraper

scraper-mind/twitter-email-scraper

[𝗖𝗵𝗲𝗮𝗽𝗲𝘀𝘁 𝗣𝗿𝗶𝗰𝗲] Mass Twitter Email Scraper or X Email Scraper: It helps you find Twitter profiles with email addresses based on custom keywords. Perfect for influencer marketing, social media outreach, and business development. Fast, accurate, and 50% more affordable than competitors.

Scraper Mind

484

X Twitter Email Scraper

scrapio/x-twitter-email-scraper

X Twitter Email Scraper helps you collect emails directly from X profile bios and linked pages. Use the data for partnerships, PR, and influencer outreach. Fast, scalable scraping with clean, export-ready results.

Scrapio

1.0

(1)

Twitter Profile Email Scraper

contacts-api/twitter-profile-email-scraper

Discover contact emails quickly with our Twitter Profile Email Scraper. Extract verified emails from Twitter profiles for outreach, lead generation, and marketing—fast, accurate, and scalable.

Lead Heaven

Twitter Email Scraper – Advanced, Cheapest & Reliable 📧⚡📷

contactminerlabs/twitter-email-scraper---advanced-cheapest-reliable

🔍 Scrape X Emails Enter your search parameters to collect verified contact emails from public X profiles, along with profile title, bio snippet, source URL & platform info ✉️📊 Perfect for lead generation, influencer outreach & data enrichment in tools like Google Sheets or CRMs⚡🧩

ContactMinerLabs

Twitter Email Scraper

easyapi/twitter-email-scraper

🚀 Effortlessly scrape email addresses from Twitter profiles! 🐦 Find Twitter users matching your keywords and specific email domains. Perfect for lead generation, influencer marketing, and targeted outreach campaigns. Powered by stealth technology for reliable data collection. 📧🕵️‍♂️

EasyApi

424

1.0

(1)

Twitter/X Email Scraper (⭐ Fast & Affordable) 📧🎵

scrapestorm/twitter-x-email-scraper-fast-affordable

This Twitter/X Email Scraper extracts email addresses from Twitter/X based on your selected keywords and email domains. You can also set the max number of items for results 🔥. Perfect for creator outreach 🤳 and collaborations 💥, it delivers fast and accurate results ⚡.

Storm_Scraper

5.0

(1)

Twitter Email Scraper

clothefobia/twitter-email-scraper

Twitter Email Scraper- Scrap Twitter profile emails from search engine using keyword based

clothe fobia

Twitter B2B Email Scraper

scraper-mind/twitter-b2b-email-scraper

🚀 Extract verified Twitter B2B emails instantly! The Twitter B2B Email Scraper finds targeted leads by keyword, country & profile type. Perfect for agencies, outreach, and growth teams. Generate high-quality B2B contacts from X in seconds.

Scraper Mind

Twitter Email Scraper - X Profile & Lead Extractor

logiover/x-profile-email-scraper

X / Twitter profile scraper & unofficial API: extract bio emails, follower counts and websites, export profiles to CSV/JSON. No login or API key.

Logiover

Best Twitter Email Scraper

scraper-mind/best-twitter-email-scraper

[𝗕𝟮𝗕 𝗘𝗠𝗔𝗜𝗟 𝗔𝗩𝗔𝗜𝗟𝗔𝗕𝗟𝗘] Unlock verified emails from Twitter (X) in seconds ⚡ Perfect for lead generation, outreach, and influencer targeting. The Twitter Email Scraper finds B2B/B2C contacts by keyword, country, and profile type; fast, accurate, and cost-effective. 🚀

Scraper Mind

5.0

(1)