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Hinge Email Scraper - Keyword Search & Domain Filter

💜 Hinge Email Scraper extracts public profile emails using keyword and location filters. 🎯 Domain restriction, obfuscated-address decoding and duplicate skipping. 📊 For dating market research and analysis.

Pricing

from $1.99 / 1,000 results

Rating

0.0

(0)

Developer

Parse Point

Actor stats

Bookmarked

Total users

Monthly active users

3 days ago

Last modified

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Lead generation

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Automation

You can access the Hinge Email Scraper - Keyword Search & Domain Filter 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 API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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  "components": {
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      "inputSchema": {
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        "required": [
          "keywords"
        ],
        "properties": {
          "keywords": {
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            "type": "array",
            "description": "A list of keywords or queries to search for.",
            "default": [
              "coach",
              "entrepreneur"
            ],
            "items": {
              "type": "string"
            }
          },
          "location": {
            "title": "Location",
            "type": "string",
            "description": "Location to filter search results.",
            "default": ""
          },
          "customDomains": {
            "title": "Enter Custom Email Domains (e.g. @gmail.com, @yahoo.com)",
            "type": "array",
            "description": "List of custom email domains",
            "default": [
              "@gmail.com",
              "@yahoo.com"
            ],
            "items": {
              "type": "string"
            }
          },
          "maxEmails": {
            "title": "Enter 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
          },
          "decodeProtectedEmails": {
            "title": "Read protected addresses",
            "type": "boolean",
            "description": "Read addresses the page hides behind Cloudflare protection or HTML entities. These are invisible to a plain text scan.",
            "default": true
          },
          "decodeWrittenEmails": {
            "title": "Read written-out addresses",
            "type": "boolean",
            "description": "Read addresses written to defeat scrapers, such as 'name [at] example [dot] com'.",
            "default": true
          },
          "decodeEncodedEmails": {
            "title": "Read encoded addresses",
            "type": "boolean",
            "description": "Read addresses stored base64-encoded in the page markup.",
            "default": true
          },
          "mergeAliasDuplicates": {
            "title": "Merge alias duplicates",
            "type": "boolean",
            "description": "Collapse different spellings that reach the same inbox (e.g. j.o.h.n+news@gmail.com and john@gmail.com) into a single result, so you are not billed twice for one lead.",
            "default": true
          },
          "skipPreviousRuns": {
            "title": "Skip leads from earlier runs",
            "type": "boolean",
            "description": "Do not return leads that an earlier run of this Actor already returned. Skipped leads are never charged.",
            "default": false
          },
          "duplicateHandling": {
            "title": "Duplicate handling",
            "enum": [
              "merge",
              "flag",
              "keep_all"
            ],
            "type": "string",
            "description": "What to do when several spellings reach the same inbox: merge them into one result, keep them apart but flag them, or keep everything as found.",
            "default": "merge"
          },
          "skipDuplicateKeywords": {
            "title": "Skip keywords already scraped in a previous run",
            "type": "boolean",
            "description": "Remember every keyword this actor completes and skip it next time. Ideal for a scheduled run over a fixed keyword list - you only pay for ground you have not covered. A keyword searched against a different set of email domains counts as new work, not a duplicate.",
            "default": false
          },
          "resetKeywordHistory": {
            "title": "Reset keyword history",
            "type": "boolean",
            "description": "Clear the remembered keywords before this run starts, so everything is treated as new again. Use after changing your target list.",
            "default": false
          },
          "maxEmailsPerKeyword": {
            "title": "Max emails per keyword",
            "minimum": 0,
            "maximum": 100000,
            "type": "integer",
            "description": "Stop collecting for a keyword once it has produced this many results, then move on to the next one. Keeps one broad term from consuming the whole run. Leave at 0 for no per-keyword limit.",
            "default": 0
          }
        }
      },
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            "type": "object",
            "properties": {
              "id": {
                "type": "string"
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              "actId": {
                "type": "string"
              },
              "userId": {
                "type": "string"
              },
              "startedAt": {
                "type": "string",
                "format": "date-time",
                "example": "2025-01-08T00:00:00.000Z"
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              "finishedAt": {
                "type": "string",
                "format": "date-time",
                "example": "2025-01-08T00:00:00.000Z"
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              "status": {
                "type": "string",
                "example": "READY"
              },
              "meta": {
                "type": "object",
                "properties": {
                  "origin": {
                    "type": "string",
                    "example": "API"
                  },
                  "userAgent": {
                    "type": "string"
                  }
                }
              },
              "stats": {
                "type": "object",
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                  "inputBodyLen": {
                    "type": "integer",
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                  },
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                    "type": "integer",
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                  "memoryMbytes": {
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                  "diskMbytes": {
                    "type": "integer",
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                    "type": "integer",
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Hinge Email Scraper - Keyword Search & Domain Filter 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 Hinge Email Scraper - Keyword Search & Domain Filter 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:

Hinge Email Scraper - Keyword Search & Domain Filter API in Python

Hinge Email Scraper - Keyword Search & Domain Filter API in JavaScript

Hinge Email Scraper - Keyword Search & Domain Filter API through CLI

Hinge Email Scraper - Keyword Search & Domain Filter API

Hinge Email Scraper - Advanced, Fast & Cheapest

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

❤️ Hinge Email Scraper helps you gather publicly available emails from Hinge profiles efficiently ⚡ Useful for research and data insights 📊

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Realtor Email Scraper – Advanced, Cheapest & Reliable 📧🎟️

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

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

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Alibaba Email Scraper – Advanced, Cheapest & Reliable 📧🎟️

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

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AliExpress Email Scraper – Advanced, Cheapest & Reliable 📧🎟️

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

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

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LinkedIn Companies Scraper – Cheap 🏢

contactminerlabs/linkedin-companies-scraper---cheap

🔍 Scrape Mass/Bulk LinkedIn Companies Enter any keyword & instantly extract highly relevant LinkedIn companies, including name, description, employees, followers & company URL 🏢 Perfect for market research, B2B, competitor analysis, industry mapping & enriching your CRM, workflows or AI pipelines

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Strava Email Scraper – Cheapest 🏃‍♂️🚴‍♀️📧

contactminerlabs/strava-email-scraper---cheapest

🔍 Scrape Strava Emails Instantly Enter a keyword & extract publicly available emails from Strava athlete and club profiles, including athlete/club name, email address & profile URL 📊 Perfect for lead generation, sports marketing, coach outreach, partnerships, and enriching your data pipelines 🚀

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Hinge Email Scraper – Advanced, Cheapest & Reliable 📧🎟️

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

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

ContactMinerLabs

Agoda Email Scraper – Advanced, Cheapest & Reliable 📧🎟️

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

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

ContactMinerLabs

Bandcamp Email Scraper – Advanced, Cheapest & Reliable 📧🔊

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

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

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Bumble Email Scraper – Advanced, Cheapest & Reliable 📧🎟️

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

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

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Tinder Email Scraper – Advanced, Cheapest & Reliable 📧🎟️

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

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