# Amazon B2b Phone Number Scraper (`scrapier/amazon-b2b-phone-number-scraper`) Actor πŸ“ž Amazon B2B Phone Number Scraper extracts verified business phone numbers from Amazon sellers, vendors & brands via product, store & company pages. πŸ”Ž Bulk, fast, accurate. πŸ“‚ CSV/Excel export for CRM. πŸš€ Perfect for B2B leads, sales outreach & supplier sourcing. - **URL**: https://apify.com/scrapier/amazon-b2b-phone-number-scraper.md - **Developed by:** [Scrapier](https://apify.com/scrapier) (community) - **Categories:** Automation, Lead generation, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $24.99/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 ### **Amazon** Phone Number Scraper πŸ“± Amazon B2B Phone Number Scraper is a powerful tool for extracting phone numbers and contact information from Amazon profiles. This Amazon business contact scraper provides efficient and automated data collection capabilities. It is designed to collect publicly available contact details while maintaining compliance with platform guidelines. The tool offers user-friendly operation for both beginners and advanced users. With advanced filtering options, Amazon B2B Phone Number Scraper ensures accurate and relevant data extraction. It supports various output formats for seamless integration with other tools. ### Support and feedback - **Bug reports**: Open a ticket in the repository Issues section - **Custom features**: Contact our enterprise support team *Email: scrapier.io@gmail.com* ### Extractable Data Table πŸ“Š | Data Type | Description | | --- | --- | | Phone Numbers | Extracted phone numbers from Amazon profiles | | Profile Data | Basic profile information and contact details | | Contact Info | Available contact information from public profiles | ### Key Features of **Amazon** Phone Number Scraper Here are the standout features that make the Amazon Phone Number Scraper a reliable tool for data extraction: - ⭐ Efficient phone number extraction from Amazon - ⭐ User-friendly interface for easy operation - ⭐ Automated data collection process - ⭐ Compliance with Amazon guidelines - ⭐ Multiple output format support ### How to use **Amazon** Phone Number Scraper πŸš€ Follow this simple, step-by-step guide to start extracting Amazon phone numbers today: 1. βœ… Access the Amazon Phone Number Scraper tool 2. βœ… Configure your target Amazon profiles or searches 3. βœ… Set extraction parameters and filters 4. βœ… Start the automated scraping process 5. βœ… Review and export the collected data ### Use Cases 🎯 General Use 🎯 Extract contact information from Amazon profiles 🎯 Build contact databases for business purposes 🎯 Gather data for market research and analysis ### Why choose us? πŸ’Ž Amazon B2B Phone Number Scraper offers reliable and efficient Amazon data extraction. Our tool ensures compliance with platform terms while providing comprehensive contact information collection. ### **Amazon** Phone Number Scraper Scalability πŸ“ˆ Amazon B2B Phone Number Scraper is designed to handle various data extraction needs efficiently. The tool provides scalable solutions for both small and large-scale contact data collection. ### **Amazon** Phone Number Scraper Legal Guidelines βš–οΈ **Yes**β€”scraping Amazon is legal as long as you follow ethical and compliant practices. The Amazon Phone Number Scraper extracts only publicly available information from public Amazon profiles, making it safe and compliant for research, marketing, and analysis. #### Legal & Ethical Guidelines βš–οΈ Follow Amazon terms of service βš–οΈ Only collect publicly available information βš–οΈ Use extracted data responsibly and ethically βš–οΈ Respect user privacy and data protection laws ### Input Parameters 🧩 πŸ“¦ Example Input (JSON) ```json { "keywords": ["Amazon B2B Phone Number Scraper"], "country": "Global", "maxPhoneNumbers": 20, "platform": "Amazon", "engine": "legacy" } ```` ### Input Table | Data Type | Description | | --- | --- | | keywords | Keywords to find relevant profiles | | country | Country setting (Global) | | maxPhoneNumbers | Maximum phone numbers to collect (default 20) | | platform | Platform to scrape (Amazon) | | engine | Engine type (legacy) | | proxyConfiguration | Optional proxy settings | ### Output Format πŸ“€ πŸ“ Example Output (JSON) ```json [ { "platform": "Amazon", "keyword": "Amazon B2B Phone Number Scraper", "title": "Example Amazon profile", "description": "Example description with phone number", "url": "https://www.amazon.com/example/", "phone_number": "+1234567890", "country": "Global", "dial_code": "Auto-detected" } ] ``` ### Output Table | Data Type | Description | | --- | --- | | platform | Identifies Amazon as the source | | keyword | Keyword that triggered the result (Amazon B2B Phone Number Scraper) | | title | Profile title or username | | description | Public bio snippet with contact info | | url | Direct Amazon profile link | | phone\_number | Extracted phone number with Auto-detected dial code | | country | Country setting (Global) | | dial\_code | Dial code (Auto-detected) | ### FAQ ❓ #### What is Amazon B2B Phone Number Scraper? Amazon B2B Phone Number Scraper is a tool designed to extract phone numbers and contact information from Amazon profiles efficiently. #### Is Amazon B2B Phone Number Scraper legal to use? Yes, as long as it is used in compliance with Amazon terms and applicable data privacy laws. #### What data can Amazon B2B Phone Number Scraper extract? Amazon B2B Phone Number Scraper can extract phone numbers, contact details, and profile information from Amazon profiles. #### How does Amazon B2B Phone Number Scraper work? Amazon B2B Phone Number Scraper automates the process of collecting contact information from Amazon profiles based on specified parameters. # Actor input Schema ## `keywords` (type: `array`): A list of keywords, Amazon usernames, or profile URLs to search for. Example: \["marketing", "founder"]. ## `platform` (type: `string`): Select platform. For now this actor targets Amazon via google.com SERP. ## `country` (type: `string`): Select a country to scrape related phone numbers. The dial code is used to normalize and filter phone numbers. ## `maxPhoneNumbers` (type: `integer`): Maximum number of phone numbers to collect per keyword. The scraper will stop once this limit is reached. ## `engine` (type: `string`): Choose scraping engine. 'cost-effective' uses RESIDENTIAL proxies; 'legacy' uses GOOGLE\_SERP proxy. ## `proxyConfiguration` (type: `object`): Configure proxies for this Actor (Apify proxy). The actor will enforce legal GOOGLE\_SERP or RESIDENTIAL groups depending on Engine. ## Actor input object example ```json { "keywords": [ "marketing" ], "platform": "Amazon", "country": "United Kingdom (+44)", "maxPhoneNumbers": 20, "engine": "legacy" } ``` # 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": [ "marketing" ] }; // Run the Actor and wait for it to finish const run = await client.actor("scrapier/amazon-b2b-phone-number-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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": ["marketing"] } # Run the Actor and wait for it to finish run = client.actor("scrapier/amazon-b2b-phone-number-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "keywords": [ "marketing" ] }' | apify call scrapier/amazon-b2b-phone-number-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapier/amazon-b2b-phone-number-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Amazon B2b Phone Number Scraper", "description": "πŸ“ž Amazon B2B Phone Number Scraper extracts verified business phone numbers from Amazon sellers, vendors & brands via product, store & company pages. πŸ”Ž Bulk, fast, accurate. πŸ“‚ CSV/Excel export for CRM. πŸš€ Perfect for B2B leads, sales outreach & supplier sourcing.", "version": "0.1", "x-build-id": "XWRJDZaUVF3kvdiJX" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapier~amazon-b2b-phone-number-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapier-amazon-b2b-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/scrapier~amazon-b2b-phone-number-scraper/runs": { "post": { "operationId": "runs-sync-scrapier-amazon-b2b-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/scrapier~amazon-b2b-phone-number-scraper/run-sync": { "post": { "operationId": "run-sync-scrapier-amazon-b2b-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, Amazon usernames, or profile URLs to search for. Example: [\"marketing\", \"founder\"].", "items": { "type": "string" } }, "platform": { "title": "Platform", "enum": [ "Amazon" ], "type": "string", "description": "Select platform. For now this actor targets Amazon via google.com SERP.", "default": "Amazon" }, "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 } } } } } } } } } } ```