# Reddit Phone Number Scraper (`scraper-mind/reddit-phone-number-scraper`) Actor \[𝗖𝗵𝗲𝗮𝗽𝗲𝘀𝘁 𝗣𝗿𝗶𝗰𝗲] Reddit Phone Number Scraper extracts publicly available phone numbers from Reddit profiles & posts for research & outreach. Fast, accurate, and easy to use. - **URL**: https://apify.com/scraper-mind/reddit-phone-number-scraper.md - **Developed by:** [Scraper Mind](https://apify.com/scraper-mind) (community) - **Categories:** Lead generation, Social media - **Stats:** 51 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $5.00/month + usage To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.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/platform/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 ## Reddit Phone Number Scraper The **Reddit Phone Number Scraper** is an Apify actor designed to extract phone numbers from **Reddit profiles, posts, and subreddits**. Whether you're seeking **community insights, influencer contacts, or niche business leads**, this tool helps you gather **verified phone numbers** efficiently in **E.164 format**. ### 🔹 Key Features - **Accurate Phone Extraction**: Uses an advanced algorithm to identify and format phone numbers in **E.164 format**. - **Country-Specific Parsing**: Supports **multiple countries** by mapping country names to **dial codes** and **ISO codes** for precise number detection. - **Deduplication**: Eliminates **duplicate phone numbers**, ensuring a **clean dataset**. - **Seamless Apify Integration**: Designed as an **Apify actor**, making it easy to integrate into **existing workflows**. - **Cost-Effective & Scalable**: Provides **affordable pricing** while handling both **small-scale** and **large-scale** scraping operations. ### 🔹 Input Parameters The scraper accepts a **JSON input** with the following parameters: #### 🔍 `keyword` - **Type**: string - **Description**: The search term to find Reddit profiles, posts, or subreddits (e.g., `"freelancer"`, `"tech entrepreneur"`). - **Default**: `"freelancer"` #### 🌐 `platform` - **Type**: string - **Description**: The target platform. - **Default**: `"Reddit"` #### 🌎 `country` - **Type**: string - **Description**: The country to target when scraping phone numbers. The value should be formatted as `"Country Name (+DialCode)"`. - **Default**: `"United States (+1)"` #### 📌 Example Input ```json { "keyword": "freelancer", "platform": "Reddit", "country": "United States (+1)" } ```` ### 🔹 Output Format The scraper provides a **JSON array** of objects with the following fields: - **`title`**: Name of the Reddit user or subreddit. - **`url`**: URL of the Reddit profile or post. - **`description`**: A short bio or snippet from the profile or subreddit. - **`phone_number`**: The extracted phone number in **E.164 format**. #### 📌 Example Output ```json [ { "title": "JohnDoe123", "url": "https://www.reddit.com/user/JohnDoe123", "description": "Freelance graphic designer in New York.", "phone_number": "+14151234******" }, { "title": "TechEntrepreneurSub", "url": "https://www.reddit.com/r/TechEntrepreneurSub", "description": "A subreddit for tech entrepreneurs to discuss ideas and projects.", "phone_number": "+14159876******" } ] ``` ### 🔹 How to Use - **Configure Input**: Set input parameters (`keyword`, `platform`, `country`) via **Apify web interface** or **API calls**. - **Run the Scraper**: The scraper will: - Search for relevant **Reddit profiles, posts, or subreddits**. - Extract and format **valid phone numbers**. - Remove duplicates to ensure **clean data**. - **Retrieve Data**: Once execution is complete, the scraped data will be available in the **output section** for download. ### 🔹 Best Use Cases - **Community & Niche Lead Generation**: Collect phone numbers of **active Reddit users**, **freelancers**, and **influencers** in specific niches. - **Market Research**: Extract contact data to analyze **emerging trends**, **consumer behavior**, and **top contributors** in subreddits. - **Influencer Outreach**: Find **content creators** and **community leaders** for potential collaborations and **marketing partnerships**. - **Recruitment**: Extract contact details of **job seekers**, **freelancers**, and **industry professionals** for hiring. - **Networking & Community Engagement**: Build connections with **community members** for collaboration, advice, or outreach. ### 🚀 Start Scraping Reddit Phone Numbers Today! Configure your search, select your target country, and launch the **Reddit Phone Number Scraper** on **Apify** now. # Actor input Schema ## `keywords` (type: `array`): A list of keywords to search for. (Example: John, Air Fryer, etc.) ## `location` (type: `string`): Optional location to narrow down search results. ## `platform` (type: `string`): Select platform. ## `country` (type: `string`): Select a country to scrape related phone numbers. ## `proxyConfiguration` (type: `object`): Configure proxies for this Actor. ## Actor input object example ```json { "keywords": [ "John", "Air Fryer" ], "location": "", "platform": "Reddit", "country": "United Kingdom (+44)" } ``` # 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 = { "keywords": [ "John", "Air Fryer" ], "location": "" }; // Run the Actor and wait for it to finish const run = await client.actor("scraper-mind/reddit-phone-number-scraper").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 = { "keywords": [ "John", "Air Fryer", ], "location": "", } # Run the Actor and wait for it to finish run = client.actor("scraper-mind/reddit-phone-number-scraper").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 '{ "keywords": [ "John", "Air Fryer" ], "location": "" }' | apify call scraper-mind/reddit-phone-number-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scraper-mind/reddit-phone-number-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Reddit Phone Number Scraper", "description": "[𝗖𝗵𝗲𝗮𝗽𝗲𝘀𝘁 𝗣𝗿𝗶𝗰𝗲] Reddit Phone Number Scraper extracts publicly available phone numbers from Reddit profiles & posts for research & outreach. Fast, accurate, and easy to use.", "version": "0.1", "x-build-id": "bmTvlBM6lTcMpFDvx" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scraper-mind~reddit-phone-number-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scraper-mind-reddit-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scraper-mind~reddit-phone-number-scraper/runs": { "post": { "operationId": "runs-sync-scraper-mind-reddit-phone-number-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scraper-mind~reddit-phone-number-scraper/run-sync": { "post": { "operationId": "run-sync-scraper-mind-reddit-phone-number-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "type": "array", "description": "A list of keywords to search for. (Example: John, Air Fryer, etc.)", "default": [ "John", "Air Fryer" ], "items": { "type": "string" } }, "location": { "title": "Location", "type": "string", "description": "Optional location to narrow down search results.", "default": "" }, "platform": { "title": "Platform", "enum": [ "Reddit" ], "type": "string", "description": "Select platform.", "default": "Reddit" }, "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.", "default": "United Kingdom (+44)" }, "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 } } } } } } } } } } ```