# Email Deliverability Portfolio Audit API (`taroyamada/email-deliverability-portfolio-audit`) Actor Audit SPF, DKIM, DMARC, MTA-STS, TLS-RPT, BIMI, and sender-readiness signals across domain portfolios with executive summaries and remediation guidance. - **URL**: https://apify.com/taroyamada/email-deliverability-portfolio-audit.md - **Developed by:** [åĪŠéƒŽ åąąį”°](https://apify.com/taroyamada) (community) - **Categories:** Lead generation, Marketing, AI - **Stats:** 2 total users, 2 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 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 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 ## Email Deliverability Portfolio Audit API Audit SPF, DKIM, DMARC, MTA-STS, TLS-RPT, BIMI, and sender-readiness signals across domain portfolios with executive summaries and remediation guidance. ### Store Quickstart - Start with `store-input.example.json` for the smallest useful run: **2 domains in, one executive summary + clean remediation rows out**. - Then move to `store-input.templates.json`: - `Starter Quickstart (2 Domains -> Executive Summary + Clean Rows)` - `Portfolio Watch (Recurring Dataset Baseline)` - `Webhook Remediation Queue` ### Key Features - ðŸŽŊ **Lead-qualified extraction** — Surfaces contact signals from public profiles with validation flags - ✅ **Deliverability scoring** — MX/SPF/DMARC checks produce confidence scores on every record - 🔄 **Bulk processing** — Audit thousands of domains/emails per run with parallel verification - 📊 **CRM-ready output** — Dataset columns map 1:1 to Salesforce/HubSpot import templates - ðŸ›Ąïļ **Privacy-compliant** — Reads public DNS/WHOIS only — no scraping of protected data ### Use Cases | Who | Why | |-----|-----| | Developers | Automate recurring data fetches without building custom scrapers | | Data teams | Pipe structured output into analytics warehouses | | Ops teams | Monitor changes via webhook alerts | | Product managers | Track competitor/market signals without engineering time | ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | domains | array | prefilled | Start with 2-3 domains for the first deliverability baseline. Expand later into larger recurring portfolios while keepin | | followRedirects | boolean | `true` | Follow redirects when checking the main HTTPS endpoint and the MTA-STS policy URL. | | checkDkim | boolean | `true` | Probe a small set of common selectors so the first run catches missing DKIM posture quickly. | | dkimSelectors | array | — | Optional custom DKIM selectors to probe instead of the built-in defaults. | | checkBimi | boolean | `true` | Optional branding readiness check. Missing BIMI is treated as an opportunity signal, not a hard failure. | | delivery | string | `"dataset"` | Dataset mode keeps the first run lightweight while still writing the full executive summary to OUTPUT. Webhook mode send | | webhookUrl | string | — | Required when delivery=webhook. | | snapshotKey | string | `"email-deliverability-portfolio-audit"` | Reuse the same key when you move from the starter baseline to recurring monitoring so policy changes stay comparable. | #### Input Example ```json { "domains": ["example.com", "github.com"], "followRedirects": true, "checkDkim": true, "checkBimi": true, "delivery": "dataset", "snapshotKey": "email-deliverability-quickstart", "concurrency": 2 } ```` ### Output | Field | Type | Description | |-------|------|-------------| | `meta` | object | | | `alerts` | array | | | `results` | array | | | `alerts[].domain` | string | | | `alerts[].severity` | string | | | `alerts[].component` | string | | | `alerts[].type` | string | | | `alerts[].message` | string | | #### Output Example ```json { "meta": { "generatedAt": "2026-04-05T04:40:22.011Z", "totals": { "total": 3, "initial": 3, "ok": 0, "changed": 0, "partial": 0, "errors": 0, "actionNeeded": 3 }, "severityCounts": { "critical": 0, "high": 0, "watch": 3, "info": 0 }, "averageDeliverabilityScore": 69, "alertCount": 12, "executiveSummary": { "overallStatus": "monitor", "brief": "3 of 3 domains need action. Highest-risk issue: No MX records found.", "recommendedCadence": "weekly", "averageDeliverabilityScore": 69, "totals": { "total": 3, "initial": 3, "ok": 0, "changed": 0, "partial": 0, "errors": 0, "actionNeeded": 3 }, "severityCounts": { "critical": 0, "high": 0, "watch": 3, "info": 0 }, ``` ### API Usage Run this actor programmatically using the Apify API. Replace `YOUR_API_TOKEN` with your token from [Apify Console → Settings → Integrations](https://console.apify.com/account/integrations). #### cURL ```bash curl -X POST "https://api.apify.com/v2/acts/taroyamada~email-deliverability-portfolio-audit/run-sync-get-dataset-items?token=YOUR_API_TOKEN" \ -H "Content-Type: application/json" \ -d '{ "domains": ["example.com", "github.com"], "followRedirects": true, "checkDkim": true, "checkBimi": true, "delivery": "dataset", "snapshotKey": "email-deliverability-quickstart", "concurrency": 2 }' ``` #### Python ```python from apify_client import ApifyClient client = ApifyClient("YOUR_API_TOKEN") run = client.actor("taroyamada/email-deliverability-portfolio-audit").call(run_input={ "domains": ["example.com", "github.com"], "followRedirects": true, "checkDkim": true, "checkBimi": true, "delivery": "dataset", "snapshotKey": "email-deliverability-quickstart", "concurrency": 2 }) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) ``` #### JavaScript / Node.js ```javascript import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: 'YOUR_API_TOKEN' }); const run = await client.actor('taroyamada/email-deliverability-portfolio-audit').call({ "domains": ["example.com", "github.com"], "followRedirects": true, "checkDkim": true, "checkBimi": true, "delivery": "dataset", "snapshotKey": "email-deliverability-quickstart", "concurrency": 2 }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); console.log(items); ``` ### Tips & Limitations - Combine with `email-deliverability-checker` for full MX+SMTP validation before outreach. - Use webhook delivery to drop leads into your CRM automation in real-time. - For ABM campaigns, run weekly against your target list to catch domain changes. - Low confidence scores (<70) often indicate parked domains — filter before sending outreach. - This actor is GDPR-safe: no PII is stored, only infrastructure-level signals. ### FAQ **Is this GDPR-compliant?** Yes — this actor only processes public infrastructure data (DNS, WHOIS, public website content). No PII is stored. **How accurate is the deliverability score?** Infrastructure-level checks are 95%+ accurate for identifying broken/parked domains. SMTP-level accuracy requires `email-deliverability-checker`. **Can I use this in a signup form?** The actor is optimized for batch processing, not real-time signup validation. For per-request use, query Apify API directly. **Does this verify if an email actually exists?** This actor checks MX/SPF/DMARC infrastructure. For SMTP-level RCPT TO verification, use `email-deliverability-checker`. **Can I export to HubSpot/Salesforce?** Yes — use webhook delivery with a Zapier/Make connector, or pull from Dataset API directly. ### Related Actors Lead Generation & B2B cluster — explore related Apify tools: - [📧 Contact Details Extractor](https://apify.com/taroyamada/contact-details-extractor) — Extract emails, phone numbers, and social media links from any webpage. - [ðŸ“Đ Email Validator](https://apify.com/taroyamada/email-deliverability-checker) — Validate email addresses in bulk: syntax, DNS MX lookup, disposable domain detection, deliverability score. - [📞 Phone Number Validator](https://apify.com/taroyamada/phone-number-validator) — Validate and format phone numbers for 250+ countries using google-libphonenumber. ### Cost **Pay Per Event**: - `actor-start`: $0.01 (flat fee per run) - `dataset-item`: $0.003 per output item **Example**: 1,000 items = $0.01 + (1,000 × $0.003) = **$3.01** No subscription required — you only pay for what you use. # Actor input Schema ## `domains` (type: `array`): Start with 2-3 domains for the first deliverability baseline. Expand later into larger recurring portfolios while keeping the same summary-first workflow. ## `followRedirects` (type: `boolean`): Follow redirects when checking the main HTTPS endpoint and the MTA-STS policy URL. ## `checkDkim` (type: `boolean`): Probe a small set of common selectors so the first run catches missing DKIM posture quickly. ## `dkimSelectors` (type: `array`): Optional custom DKIM selectors to probe instead of the built-in defaults. ## `checkBimi` (type: `boolean`): Optional branding readiness check. Missing BIMI is treated as an opportunity signal, not a hard failure. ## `delivery` (type: `string`): Dataset mode keeps the first run lightweight while still writing the full executive summary to OUTPUT. Webhook mode sends the same summary, alert queue, and per-domain rows to your endpoint. ## `webhookUrl` (type: `string`): Required when delivery=webhook. ## `snapshotKey` (type: `string`): Reuse the same key when you move from the starter baseline to recurring monitoring so policy changes stay comparable. ## `concurrency` (type: `integer`): Starter runs usually only need 2-3. Increase carefully for larger portfolios. ## `dryRun` (type: `boolean`): Preview the full summary without saving snapshots, dataset rows, or webhooks. ## Actor input object example ```json { "domains": [ "example.com", "github.com", "google.com" ], "followRedirects": true, "checkDkim": true, "checkBimi": true, "delivery": "dataset", "snapshotKey": "email-deliverability-portfolio-audit", "concurrency": 3, "dryRun": false } ``` # 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 = { "domains": [ "example.com", "github.com", "google.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("taroyamada/email-deliverability-portfolio-audit").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`ðŸ’ū 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 = { "domains": [ "example.com", "github.com", "google.com", ] } # Run the Actor and wait for it to finish run = client.actor("taroyamada/email-deliverability-portfolio-audit").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("ðŸ’ū 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 '{ "domains": [ "example.com", "github.com", "google.com" ] }' | apify call taroyamada/email-deliverability-portfolio-audit --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=taroyamada/email-deliverability-portfolio-audit", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Email Deliverability Portfolio Audit API", "description": "Audit SPF, DKIM, DMARC, MTA-STS, TLS-RPT, BIMI, and sender-readiness signals across domain portfolios with executive summaries and remediation guidance.", "version": "0.1", "x-build-id": "UYLb9nBxkAPMUY17v" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/taroyamada~email-deliverability-portfolio-audit/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-taroyamada-email-deliverability-portfolio-audit", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/taroyamada~email-deliverability-portfolio-audit/runs": { "post": { "operationId": "runs-sync-taroyamada-email-deliverability-portfolio-audit", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/taroyamada~email-deliverability-portfolio-audit/run-sync": { "post": { "operationId": "run-sync-taroyamada-email-deliverability-portfolio-audit", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "domains" ], "properties": { "domains": { "title": "Free / starter: Domains to audit", "type": "array", "description": "Start with 2-3 domains for the first deliverability baseline. Expand later into larger recurring portfolios while keeping the same summary-first workflow.", "items": { "type": "string" } }, "followRedirects": { "title": "Follow redirects for sender-readiness checks", "type": "boolean", "description": "Follow redirects when checking the main HTTPS endpoint and the MTA-STS policy URL.", "default": true }, "checkDkim": { "title": "Check DKIM selectors", "type": "boolean", "description": "Probe a small set of common selectors so the first run catches missing DKIM posture quickly.", "default": true }, "dkimSelectors": { "title": "Custom DKIM selectors", "type": "array", "description": "Optional custom DKIM selectors to probe instead of the built-in defaults.", "items": { "type": "string" } }, "checkBimi": { "title": "Check BIMI", "type": "boolean", "description": "Optional branding readiness check. Missing BIMI is treated as an opportunity signal, not a hard failure.", "default": true }, "delivery": { "title": "Delivery mode (starter dataset vs webhook)", "enum": [ "dataset", "webhook" ], "type": "string", "description": "Dataset mode keeps the first run lightweight while still writing the full executive summary to OUTPUT. Webhook mode sends the same summary, alert queue, and per-domain rows to your endpoint.", "default": "dataset" }, "webhookUrl": { "title": "Webhook URL", "type": "string", "description": "Required when delivery=webhook." }, "snapshotKey": { "title": "Snapshot key for recurring audits", "type": "string", "description": "Reuse the same key when you move from the starter baseline to recurring monitoring so policy changes stay comparable.", "default": "email-deliverability-portfolio-audit" }, "concurrency": { "title": "Parallel domain checks", "minimum": 1, "maximum": 10, "type": "integer", "description": "Starter runs usually only need 2-3. Increase carefully for larger portfolios.", "default": 3 }, "dryRun": { "title": "Dry run", "type": "boolean", "description": "Preview the full summary without saving snapshots, dataset rows, or webhooks.", "default": false } } }, "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 } } } } } } } } } } ```