# Wedo Scrape Escort (`wedo_software/wedo-scrape-escort`) Actor Automated lead generation and data extraction tool for escort websites. Scrape profiles, contact info, and updates safely into JSON/CSV. - **URL**: https://apify.com/wedo\_software/wedo-scrape-escort.md - **Developed by:** [Benjamin](https://apify.com/wedo_software) (community) - **Categories:** Lead generation, AI, Jobs - **Stats:** 3 total users, 1 monthly users, 20.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $50.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Escort Directory & Red-Light Classifieds Scraper 💋 Unlock comprehensive market intelligence inside the adult entertainment industry. This powerful, high-speed Apify Actor is built specifically to extract highly structured data from localized **escort directories, agency boards, and red-light community classified platforms** across the globe. Perfect for independent agencies, data scientists, digital marketers, and compliance teams, this crawler safely automates the aggregation of dynamic profiles without getting blocked. --- ### 🎯 Targeted Extraction Fields This Scraper extracts complete profile profiles and structures them cleanly into your dataset. You can now define your own custom schema via the `scrapingSchema` input field: * **Provider Profile Breakdown:** Real working names, age, nationality, physical attributes, services offered, and specialized tags. * **Red-Light Locations & Touring Schedules:** Track independent providers or agency rosters across specific cities, red-light districts, and active touring itineraries. * **Direct Contact & Verification:** Scrape verified phone numbers, WhatsApp links, Telegram handles, Snapchat codes, and official reservation links. * **Dynamic Cost Matrices:** Capture structured pricing data spanning incall/outcall hourly rates, overnight fees, and weekend premiums. * **Media Portfolios:** Download links to profile galleries, verified selfie checks, and promotional videos. * **Client Reviews & Sentiment:** Scrape board reviews, user ratings, blacklist reports, and client feedback text. --- ### 🛡️ Engineered to Bypass Anti-Bot Security Adult classified networks and escort forums feature some of the strictest anti-scraping defenses on the web. This tool handles them seamlessly via: * **Residential Proxy Rotation:** Mimics authentic user traffic across local cities and geolocations. * **Cloudflare & Captcha Solvers:** Effortlessly bypasses Cloudflare Under Attack mode, Turnstile, Akamai, and perimeter security blocks. * **Headless Browser Automation:** Executes full JavaScript rendering (Playwright/Puppeteer) to capture text hidden behind "Reveal Phone Number" or "View WhatsApp" click triggers. --- ### 💼 Key Industry Use Cases 1. **Competitive Pricing & Market Intelligence:** Audit active rates inside dominant red-light districts or localized markets to adjust your agency's pricing or ad placement strategy. 2. **Lead Generation for Industry Software:** Build targeted databases of active individual providers and agencies to market premium CRM software, secure booking systems, or photography services. 3. **Intellectual Property & Compliance Audits:** Monitor data across regional escort boards to track down image theft, unverified profile clones, and unauthorized media distribution. --- ### ⚠️ Legal Disclaimer **DISCLAIMER:** This software is provided for educational and research purposes only. The developer of this tool explicitly disclaims any and all liability for the misuse of this software. Users are solely responsible for ensuring their use of this tool complies with all applicable laws, regulations, and the Terms of Service of the websites being scraped. Specifically, if a user configures the `scrapingSchema` input to extract personal data (such as names, phone numbers, or other PII) that may be subject to data protection regulations like the **GDPR (DSGVO)**, the user assumes full legal responsibility for compliance with such regulations. The developer does not endorse, facilitate, or encourage the collection of sensitive personal information or any illegal activity. # Actor input Schema ## `scrapingSchema` (type: `object`): Define the structure of the EscortDetailSchema dynamically. ## `platforms` (type: `array`): Select the platforms to scrape. ## `proxyConfiguration` (type: `object`): Configure the proxy settings for scraping. This is useful for avoiding IP bans and ensuring anonymity. ## Actor input object example ```json { "scrapingSchema": { "title": "string", "description": "string", "price_per_hour": "float", "currency": "string", "zip_code": "string", "city": "string" }, "platforms": [ { "search_url": "https://www.xdate.ch/de/filter", "start_page": 1, "end_page": 1 }, { "search_url": "https://www.and6.com/?sort=default", "start_page": 1, "end_page": 1 }, { "search_url": "https://www.en.fgirl.ch/filles/", "start_page": 1, "end_page": 1 } ], "proxyConfiguration": { "useApifyProxy": true } } ```` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "scrapingSchema": { "title": "string", "description": "string", "price_per_hour": "float", "currency": "string", "zip_code": "string", "city": "string" }, "platforms": [ { "search_url": "https://www.xdate.ch/de/filter", "start_page": 1, "end_page": 1 }, { "search_url": "https://www.and6.com/?sort=default", "start_page": 1, "end_page": 1 }, { "search_url": "https://www.en.fgirl.ch/filles/", "start_page": 1, "end_page": 1 } ] }; // Run the Actor and wait for it to finish const run = await client.actor("wedo_software/wedo-scrape-escort").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "scrapingSchema": { "title": "string", "description": "string", "price_per_hour": "float", "currency": "string", "zip_code": "string", "city": "string", }, "platforms": [ { "search_url": "https://www.xdate.ch/de/filter", "start_page": 1, "end_page": 1, }, { "search_url": "https://www.and6.com/?sort=default", "start_page": 1, "end_page": 1, }, { "search_url": "https://www.en.fgirl.ch/filles/", "start_page": 1, "end_page": 1, }, ], } # Run the Actor and wait for it to finish run = client.actor("wedo_software/wedo-scrape-escort").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "scrapingSchema": { "title": "string", "description": "string", "price_per_hour": "float", "currency": "string", "zip_code": "string", "city": "string" }, "platforms": [ { "search_url": "https://www.xdate.ch/de/filter", "start_page": 1, "end_page": 1 }, { "search_url": "https://www.and6.com/?sort=default", "start_page": 1, "end_page": 1 }, { "search_url": "https://www.en.fgirl.ch/filles/", "start_page": 1, "end_page": 1 } ] }' | apify call wedo_software/wedo-scrape-escort --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=wedo_software/wedo-scrape-escort", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Wedo Scrape Escort", "description": "Automated lead generation and data extraction tool for escort websites. Scrape profiles, contact info, and updates safely into JSON/CSV.", "version": "0.0", "x-build-id": "AxRu2JWkAmqfhcxPh" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/wedo_software~wedo-scrape-escort/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-wedo_software-wedo-scrape-escort", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/wedo_software~wedo-scrape-escort/runs": { "post": { "operationId": "runs-sync-wedo_software-wedo-scrape-escort", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/wedo_software~wedo-scrape-escort/run-sync": { "post": { "operationId": "run-sync-wedo_software-wedo-scrape-escort", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "scrapingSchema": { "title": "Scraping Schema", "type": "object", "description": "Define the structure of the EscortDetailSchema dynamically.", "default": { "title": "string", "description": "string", "price_per_hour": "float", "currency": "string", "zip_code": "string", "city": "string" } }, "platforms": { "title": "Platforms", "type": "array", "description": "Select the platforms to scrape.", "items": { "type": "object", "properties": { "search_url": { "title": "Search Url", "type": "string", "description": "the search url which contains the paged results to iterate over" }, "start_page": { "title": "First Listing Page per Platform", "type": "integer", "description": "First page number to paginate through per platform per location. Each page typically contains 20-30 listings.", "minimum": 1, "maximum": 500 }, "end_page": { "title": "Last Listing Page per Platform", "type": "integer", "description": "Last page number to paginate through per platform per location. Each page typically contains 20–30 listings.", "minimum": 1, "maximum": 500 } }, "required": [ "search_url", "start_page", "end_page" ] }, "default": [ { "search_url": "https://www.xdate.ch/de/filter", "start_page": 1, "end_page": 1 }, { "search_url": "https://www.and6.com/?sort=default", "start_page": 1, "end_page": 1 }, { "search_url": "https://www.en.fgirl.ch/filles/", "start_page": 1, "end_page": 1 } ] }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Configure the proxy settings for scraping. This is useful for avoiding IP bans and ensuring anonymity.", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```