# SPF Record Auditor (`junipr/spf-record-auditor`) Actor Audit SPF syntax, lookup count, duplicate records, risky includes, and common deliverability issues. - **URL**: https://apify.com/junipr/spf-record-auditor.md - **Developed by:** [junipr](https://apify.com/junipr) (community) - **Categories:** Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $4.90 / 1,000 domain auditeds 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 ## SPF Record Auditor Audit supplied SPF evidence for syntax, duplicate records, DNS lookup pressure, include chains, IP mechanisms, and terminal `all` policy. ### Inputs - `domains`: Domain records with `domain`, `spf`, and optional `recordCount`. - `maxDomains`: Maximum paid domain rows to emit. - `includeReport`: Create Markdown and JSON report artifacts. - `maxChargeUsd`: Stop before the next PPE event would exceed the run budget. ```json { "domains": [ { "domain": "google.com", "spf": "v=spf1 include:_spf.google.com ~all", "recordCount": 1 } ], "maxDomains": 1, "includeReport": true, "maxChargeUsd": 1 } ```` ### Dataset Each paid row includes the raw SPF record, record count, lookup count, include and IP-mechanism counts, terminal policy, include tree, issues, warnings, and overall status. Empty domain input produces no dataset rows. ### Billing This actor uses pay-per-event pricing. The configured events are: - `actor-start` - `domain-audited` - `record-extracted` - `finding-emitted` - `audit-report-generated` The actor charges before each paid dataset row and before report artifacts are written. A zero-dollar cap stops before work with no rows or report artifacts. ### Use Cases - Find SPF records that exceed the ten-lookup limit. - Detect multiple SPF records before a mail migration. - Review include-chain and IP-mechanism complexity. - Flag missing or weak terminal `all` policies. - Export domain-level SPF findings with a report. ### Limitations The actor analyzes the DNS evidence supplied in the input. It does not recursively resolve provider include records or perform live DNS lookups. Lookup counts are based on mechanisms present in the supplied record. # Actor input Schema ## `domains` (type: `array`): Domains and their observed SPF records. ## `maxDomains` (type: `integer`): Hard cap for SPF audit rows. ## `includeReport` (type: `boolean`): Create charged Markdown and JSON report artifacts. ## `maxChargeUsd` (type: `number`): Stop before an event would exceed this run budget. ## Actor input object example ```json { "domains": [ { "domain": "google.com", "spf": "v=spf1 include:_spf.google.com ~all", "recordCount": 1 } ], "maxDomains": 1, "includeReport": true, "maxChargeUsd": 1 } ``` # Actor output Schema ## `dataset` (type: `string`): Structured rows emitted by the actor. ## `report` (type: `string`): Run summary report stored in the default key-value store. # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("junipr/spf-record-auditor").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 = {} # Run the Actor and wait for it to finish run = client.actor("junipr/spf-record-auditor").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 '{}' | apify call junipr/spf-record-auditor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=junipr/spf-record-auditor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "SPF Record Auditor", "description": "Audit SPF syntax, lookup count, duplicate records, risky includes, and common deliverability issues.", "version": "1.0", "x-build-id": "8ZxoZ0AfEewLtaR0r" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/junipr~spf-record-auditor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-junipr-spf-record-auditor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/junipr~spf-record-auditor/runs": { "post": { "operationId": "runs-sync-junipr-spf-record-auditor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/junipr~spf-record-auditor/run-sync": { "post": { "operationId": "run-sync-junipr-spf-record-auditor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "domains": { "title": "SPF evidence", "type": "array", "description": "Domains and their observed SPF records.", "items": { "type": "object", "properties": { "domain": { "type": "string", "title": "Domain", "description": "Domain input value." }, "spf": { "type": "string", "title": "SPF record", "description": "Spf input value." }, "recordCount": { "type": "integer", "title": "SPF record count", "minimum": 0, "description": "Record Count input value." } } }, "default": [ { "domain": "google.com", "spf": "v=spf1 include:_spf.google.com ~all", "recordCount": 1 } ] }, "maxDomains": { "title": "Maximum domains", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Hard cap for SPF audit rows.", "default": 1 }, "includeReport": { "title": "Include report", "type": "boolean", "description": "Create charged Markdown and JSON report artifacts.", "default": true }, "maxChargeUsd": { "title": "Maximum charge USD", "minimum": 0, "maximum": 100, "type": "number", "description": "Stop before an event would exceed this run budget.", "default": 1 } } }, "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 } } } } } } } } } } ```