# Amazon Phone Number Scraper (`scrapers-hub/amazon-phone-number-scraper`) Actor 📞 Amazon Phone Number Scraper extracts verified phone numbers from Amazon listings quickly and accurately. 🚀 Perfect for lead gen, B2B outreach, and market research—save time, boost targeting, and streamline your workflow. - **URL**: https://apify.com/scrapers-hub/amazon-phone-number-scraper.md - **Developed by:** [Scrapers Hub](https://apify.com/scrapers-hub) (community) - **Categories:** Lead generation, E-commerce, Automation - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.99 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## 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/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 ### Amazon Phone Number Scraper 🔍 **Amazon Phone Number Scraper** is an automation tool that helps you extract phone numbers from Amazon profiles, bios, and post content using your chosen keywords and a country targeting setting. If you’re trying to **scrape Amazon phone numbers**, build an **Amazon contact phone number extractor** dataset, or run an **automated Amazon phone number collection** for leads and outreach, this actor is designed for you. Whether you’re a marketer, data analyst, or researcher, you can use it to speed up contact collection and reduce manual searching—saving you hours of manual work at scale. --- ### Why choose Amazon Phone Number Scraper? | Feature | Benefit | | --- | --- | | ✅ **Keyword-based targeting** | You can use your own keywords to focus results on the contacts you care about | | ✅ **Country code selection** | Lets you target the phone-number country format you want (via the selected `country`) | | ✅ **Reliable scraping workflow** | Includes resilience for scraping runs and incremental progress handling | | ✅ **Structured dataset output** | Produces consistent fields like `phone_number`, `url`, `country`, and `dial_code` for analysis | | ✅ **Scales with multiple keywords** | Processes a list of keywords and aggregates unique phone numbers across them | | ✅ **Real-time incremental pushing** | Each discovered record is pushed immediately to the output dataset during the run | --- ### Key features - 🔎 **Keyword-driven extraction**: Uses your provided `keywords` list to guide what phone numbers are searched for on Amazon profiles and related public content - 🌍 **Country targeting for phone numbers**: Uses the `country` setting to control which phone number region format it extracts - 🛡️ **Resilient run behavior**: Designed to continue through large scraping tasks with practical safeguards and stop conditions - 🔄 **Duplicate protection**: Tracks `seen_numbers` and avoids pushing duplicate phone numbers into the dataset - 💾 **Incremental saving & resume**: Persists progress in a key-value store so you can resume instead of starting from zero - 📊 **Structured results for downstream workflows**: Outputs consistent fields for easier importing into spreadsheets, CRMs, or analysis pipelines - ⏱️ **Configurable stopping condition**: You can set `maxPhoneNumbers` to control how many phone numbers to collect before stopping --- ### Input Provide input via an `input.json` file. Example structure: ```json { "platform": "Amazon United States", "keywords": ["marketing", "founder"], "location": "London", "country": "United Kingdom (+44)", "maxPhoneNumbers": 20 } ```` #### Input Fields | Field | Required | Description | | --- | --- | --- | | `platform` | Yes | Select the specific regional Amazon platform to scrape (for example, Amazon United States or Amazon UK). | | `keywords` | Yes | A list of keywords to use for finding relevant Amazon profiles and content that may contain phone numbers. | | `location` | No | Optional location filter (for example, `London` or `California`). Leave empty for global targeting. | | `country` | Yes | Select the country to target for phone numbers (this also determines the `dial_code` included in results). | | `maxPhoneNumbers` | No | Stop scraping after this many phone numbers are found. Higher limits can increase duration. Must be between 1 and 10000. | *** ### Output The actor saves each discovered phone-number record to the dataset in JSON format. Example output: ```json [ { "platform": "Amazon", "keyword": "marketing", "title": "No title", "description": "No data", "url": "No URL", "phone_number": "+447700900123", "country": "United Kingdom", "dial_code": "+44" } ] ``` #### Output Fields | Field | Type | Description | | --- | --- | --- | | `platform` | string | The platform label for this actor’s results (set to `Amazon`). | | `keyword` | string | The keyword currently being processed when this phone number was found. | | `title` | string | A title associated with the source item (as captured from the public content). | | `description` | string | Text extracted from the source item content where the phone number was identified. | | `url` | string | The public URL associated with the source item. | | `phone_number` | string | The extracted phone number in E.164 format. | | `country` | string | The selected country name (without the dialing portion). | | `dial_code` | string | The dialing code derived from the selected `country` input. | After the run, you can export the dataset (for example as JSON or CSV) from the Apify Console dataset view. *** ### How to use Amazon Phone Number Scraper (via Apify Console) 1. **Open Apify Console** Log in at [console.apify.com](https://console.apify.com) and go to the **Actors** tab. 2. **Find the actor** Search for **Amazon Phone Number Scraper** and open the actor page. 3. **Enter your INPUT** In the **INPUT** section, fill in: - `platform` (e.g., Amazon United States) - `keywords` (your lead-focused keywords) - `country` (the target country for phone numbers) - Optionally `location` and `maxPhoneNumbers` 4. **Adjust limits for your run** Set `maxPhoneNumbers` to control when the actor stops. If you want a smaller exploratory run, keep it low; for bulk extraction, increase it (up to the schema maximum of 10000). 5. **Run the actor** Click **Run** to start. During the run, you’ll see progress logs and the actor will push results to the dataset as it finds them. 6. **Monitor progress** Watch the logs for keyword progress and totals of unique phone numbers found. 7. **Open results in the dataset** After completion, open the actor’s dataset view (default view: **Scraped Phone Numbers**) and export your data in your preferred format. No coding required — get accurate results in minutes with **Amazon Phone Number Scraper**. *** ### Advanced features & SEO optimization - 🔧 **Engineered for Amazon phone number collection**: Specifically built to support “scrape Amazon phone numbers” workflows using a `keywords` list plus country targeting - 🔄 **Input normalization for keywords**: The actor can accept your `keywords` input as either a list or string and will normalize internally so you get consistent behavior - 💾 **Resume-friendly progress tracking**: It persists progress and already-seen phone numbers, so large scraping tasks can be resumed without losing your work - 🧩 **Scales across keyword batches**: Processes each keyword in order and aggregates unique phone numbers until your `maxPhoneNumbers` target is reached *** ### Best use cases - 📈 **B2B marketer lead list building**: Collect phone numbers from Amazon profiles to enrich outreach lists faster than manual research - 🧾 **Data analyst enrichment**: Produce structured records with `phone_number`, `url`, and `country` so you can join and analyze contacts in one dataset - 🏪 **Ecommerce seller outreach**: Build an “Amazon contact phone number extractor” dataset for seller/partner prospecting in your target region - 🎯 **Researcher sourcing contact signals**: Extract phone numbers from publicly available Amazon bios and post content using carefully chosen keywords and country filters - 🤝 **CRM ops & automation**: Feed `phone_number` + `url` results into your CRM pipeline as part of automated Amazon phone number collection - 💬 **Customer service lead discovery**: Use keywords related to support or operations to focus an “Amazon customer service phone scraper” workflow - 🧠 **Competitive Intel & market mapping**: Identify recurring phone number patterns by region using the `dial_code` and `country` fields in your export *** ### Technical specifications - **Supported Input Formats** - ✅ `platform` (regional Amazon platform selection) - ✅ `keywords` (array of strings) - ✅ `location` (optional string; empty means global) - ✅ `country` (country + dial code selection) - ✅ `maxPhoneNumbers` (integer, min 1, max 10000) - **Proxy Support** - ✅ Built-in proxy support for reliable scraping during runs - **Retry Mechanism** - ✅ Includes robustness and fallback behavior for scraping resilience - **Dataset Structure** - ✅ Dataset: **Amazon Phone Numbers Dataset** - ✅ View: **Scraped Phone Numbers** - ✅ Fields include: `keyword`, `title`, `description`, `url`, `phone_number`, `country`, `dial_code` - **Rate Limits & Performance** - ⚠️ Large scraping tasks may take time (the actor can run up to the execution timeout configured in **Run Options**, defaulting to 3600s / 1hr) - **Limitations** - ❌ Private/restricted information is not accessible; the actor is designed for **publicly available data** - ⚠️ If you get fewer results than expected, you may need broader keywords or different country settings *** ### FAQ #### Does Amazon Phone Number Scraper work for multiple countries? ✅ Yes. You can set the `country` input to target the phone-number region format you want. The results include both `country` and `dial_code`, so you can keep country-specific records organized. #### What data types does Amazon Phone Number Scraper extract? ✅ It extracts phone numbers that it finds within publicly available Amazon profile and content text. Each output record includes `phone_number` along with context fields like `url`, `title`, and `description`. #### Can I limit how many phone numbers are collected? ✅ Yes. Use `maxPhoneNumbers` to stop the run after it finds your target number of phone numbers. For large batches, you can set a higher value (up to 10000). #### Is there a location filter option? ✅ Yes. The `location` field lets you filter by a location such as `London` or `California`. If you leave it empty, the actor runs a more global search. #### Can I resume a scraping run? ✅ Yes. The actor persists progress and already-seen phone numbers, so if a run is interrupted, it can resume based on stored progress. #### Do I need to write code to use Amazon Phone Number Scraper? ❌ No. You can run it directly in Apify Console by providing the inputs via the built-in **INPUT** form or an `input.json` file. #### What if I get fewer phone numbers than expected? ✅ If results are fewer than expected, try broader `keywords` or change the `country` selection. The actor will stop based on your `maxPhoneNumbers` target, so adjusting targeting can improve yield. #### Is it compliant to use this tool for lead generation? ✅ The actor collects information only from **publicly accessible sources**. You are responsible for complying with applicable laws (for example GDPR/CCPA), spam regulations, and Amazon’s platform policies. *** ### Support & feature requests Want to improve Amazon Phone Number Scraper or request an enhancement for your Amazon phone number scraper workflow? 💡 - **💡 Feature Requests**: Examples include custom output formatting, additional filtering options, or better export compatibility for your CRM pipeline. - **📧 Contact**: Email us at for support or questions. Your feedback directly helps shape the roadmap for Amazon Phone Number Scraper. *** ### Closing CTA / Final thoughts *If you’re looking for the most comprehensive and SEO-optimized Amazon Phone Number Scraper for automated Amazon phone number collection, you’re in the right place.*\ *Set your `keywords`, choose your `platform` and `country`, and let the actor build your structured phone-number dataset fast.* *** ### Disclaimer This tool only accesses **publicly accessible sources**. It does not access private profiles, authenticated data, or password-protected pages. It is your responsibility to comply with applicable laws and regulations (including GDPR/CCPA), spam regulations, and each platform’s terms of service. For data removal requests, contact . Please use Amazon Phone Number Scraper responsibly, ethically, and for legitimate purposes only. # Actor input Schema ## `keywords` (type: `array`): Enter keywords to search for (e.g., 'Target Keyword'). ## `location` (type: `string`): Filter by location (e.g., 'London', 'California'). Leave empty for global search. ## `platform` (type: `string`): Select the specific regional platform to scrape. ## `country` (type: `string`): Select the country to target for phone numbers. ## `maxPhoneNumbers` (type: `integer`): Stop scraping after this many phone numbers are found. Setting a higher limit extends the scraping duration. ## Actor input object example ```json { "keywords": [ "marketing", "founder" ], "platform": "Amazon United States", "country": "United Kingdom (+44)", "maxPhoneNumbers": 20 } ``` # 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", "founder" ] }; // Run the Actor and wait for it to finish const run = await client.actor("scrapers-hub/amazon-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": [ "marketing", "founder", ] } # Run the Actor and wait for it to finish run = client.actor("scrapers-hub/amazon-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": [ "marketing", "founder" ] }' | apify call scrapers-hub/amazon-phone-number-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapers-hub/amazon-phone-number-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Amazon Phone Number Scraper", "description": "📞 Amazon Phone Number Scraper extracts verified phone numbers from Amazon listings quickly and accurately. 🚀 Perfect for lead gen, B2B outreach, and market research—save time, boost targeting, and streamline your workflow.", "version": "0.1", "x-build-id": "J8D7dG2J6Sc6smlOy" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapers-hub~amazon-phone-number-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapers-hub-amazon-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapers-hub~amazon-phone-number-scraper/runs": { "post": { "operationId": "runs-sync-scrapers-hub-amazon-phone-number-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapers-hub~amazon-phone-number-scraper/run-sync": { "post": { "operationId": "run-sync-scrapers-hub-amazon-phone-number-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "platform", "keywords", "country" ], "properties": { "keywords": { "title": "Keywords", "type": "array", "description": "Enter keywords to search for (e.g., 'Target Keyword').", "default": [ "marketing", "founder" ], "items": { "type": "string" } }, "location": { "title": "Location", "type": "string", "description": "Filter by location (e.g., 'London', 'California'). Leave empty for global search." }, "platform": { "title": "Platform Region", "enum": [ "Amazon United States", "Amazon UK", "Amazon Germany", "Amazon France", "Amazon Italy", "Amazon Spain", "Amazon Japan", "Amazon India", "Amazon Canada", "Amazon Australia", "Amazon Brazil" ], "type": "string", "description": "Select the specific regional platform to scrape.", "default": "Amazon United States" }, "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 the country to target for phone numbers.", "default": "United Kingdom (+44)" }, "maxPhoneNumbers": { "title": "Max Phone Numbers", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Stop scraping after this many phone numbers are found. Setting a higher limit extends the scraping duration.", "default": 20 } } }, "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 } } } } } } } } } } ```