# Structured Data Bulk QA (`checksmithcats/structured-data-bulk-qa`) Actor Check public URLs for JSON-LD type presence, missing fields, format issues, and selected visible-page consistency signals. - **URL**: https://apify.com/checksmithcats/structured-data-bulk-qa.md - **Developed by:** [Checksmith Cats](https://apify.com/checksmithcats) (community) - **Categories:** Developer tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.25 / report generated 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 ## Structured Data Bulk QA Check JSON-LD across multiple public URLs for missing fields, invalid formats, absent schema types, and conflicting markup. Submit a URL list, sitemap, or public CSV and export one consolidated QA report. Supported types include Product, Article, FAQPage, BreadcrumbList, Recipe, VideoObject, MerchantReturnPolicy, and OfferShippingDetails. This Actor does not reproduce Google's Rich Results Test and does not guarantee indexing, eligibility, ranking, or rich-result display. ### What it checks - Input from `urls`, `sitemapUrl`, or public `csvUrl` - Optional `targetTypes`: `Product`, `Article`, `FAQPage`, `BreadcrumbList`, `Recipe`, `VideoObject`, `MerchantReturnPolicy`, `OfferShippingDetails` - Default type mode: check every supported type detected on each reachable page - Optional monitor mode for repeated runs: type disappearance, newly missing required fields, and new warning/critical structured-data signals - Required and recommended property signals from the documented Google structured-data pages where current docs exist - FAQPage is caveated: Google removed FAQ rich result documentation in June 2026, so FAQPage output is a mechanical schema-shape signal, not current Google rich-result eligibility - MerchantReturnPolicy and OfferShippingDetails checks are type/property-presence diagnostics only; they do not read, judge, or certify policy terms, rates, delivery promises, or compliance - Format signals such as ISO-like dates, ISO 4217 currency codes, numeric prices, supported availability values, HTTP image/author/item URLs, and breadcrumb positions - `sd.type_absent` when an explicitly selected type is not found - `sd.multiple_conflicting` when duplicate same-type nodes disagree on key values ### Findings Each finding includes: - `severity` - `confidence` - `evidence` - `caveat` - source URL with query strings redacted - Google documentation references where applicable Primary finding IDs include: - `sd.missing_required..` - `sd.missing_recommended..` - `sd.invalid_format.` - `sd.type_absent` - `sd.multiple_conflicting` - `sd.type_disappeared` - `sd.required_now_missing` - `sd.new_error_appeared` ### Boundaries This is an informational diagnostic tool for public pages. It does not certify structured data, reproduce Google validation, promise rich-result display, promise eligibility, improve rankings, promise indexing, or represent Google Search Console. The scanner inspects static HTML JSON-LD. It does not render JavaScript and does not evaluate private, login-gated, CAPTCHA-gated, or non-public pages. Monitor mode compares compact scanner-visible signals against the latest saved baseline. It does not store page bodies or JSON-LD bodies, and it excludes JobPosting drift because that is handled by the dedicated JobPosting Expiry Monitor. ### Billing note Pay-per-event billing is based on reachable URLs only. Unreachable pages are reported as findings, but they are not counted as checked URLs. ### References - Product snippet structured data: https://developers.google.com/search/docs/appearance/structured-data/product-snippet - Merchant listing structured data: https://developers.google.com/search/docs/appearance/structured-data/merchant-listing - Article structured data: https://developers.google.com/search/docs/appearance/structured-data/article - Breadcrumb structured data: https://developers.google.com/search/docs/appearance/structured-data/breadcrumb - Recipe structured data: https://developers.google.com/search/docs/appearance/structured-data/recipe - Video structured data: https://developers.google.com/search/docs/appearance/structured-data/video - FAQ rich result documentation removal: https://developers.google.com/search/updates#removing-faq-rich-result - Rich Results Test: https://search.google.com/test/rich-results ### Related tools - Merchant Feed Preflight - Use when Product markup findings need feed/page price and stock comparison. - Event / LocalBusiness Preflight - Use when Event or LocalBusiness pages need a more focused checklist. - Canonical / Hreflang Bulk QA - Use when structured data is present but indexing signals may point elsewhere. # Actor input Schema ## `urls` (type: `array`): Public page URLs to check. ## `sitemapUrl` (type: `string`): Optional public sitemap URL containing pages to sample. ## `csvUrl` (type: `string`): Optional public CSV URL with a URL column such as url, pageUrl, link, href, or loc. ## `targetTypes` (type: `array`): Optional subset to check. Supported values: Product, Article, FAQPage, BreadcrumbList, Recipe, VideoObject, MerchantReturnPolicy, OfferShippingDetails. Leave empty to check all supported types detected on each page. ## `sampleLimit` (type: `integer`): Maximum number of extracted URLs to inspect. ## `monitorMode` (type: `boolean`): Compare current compact structured-data signals with the latest saved baseline. JobPosting is excluded and handled by the dedicated expiry monitor. ## `saveBaseline` (type: `boolean`): Save the current compact structured-data snapshot as the latest baseline for the next monitor run. ## `stateStoreName` (type: `string`): Key-value store name for structured-data monitor state. ## Actor input object example ```json { "urls": [ "https://example.com/product/anvil", "https://example.com/blog/post" ], "targetTypes": [], "sampleLimit": 25, "monitorMode": false, "saveBaseline": true, "stateStoreName": "structured-data-bulk-monitor-state" } ```` # Actor output Schema ## `results` (type: `string`): No description ## `report` (type: `string`): No description # 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 = { "urls": [ "https://example.com/product/anvil", "https://example.com/blog/post" ] }; // Run the Actor and wait for it to finish const run = await client.actor("checksmithcats/structured-data-bulk-qa").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 = { "urls": [ "https://example.com/product/anvil", "https://example.com/blog/post", ] } # Run the Actor and wait for it to finish run = client.actor("checksmithcats/structured-data-bulk-qa").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 '{ "urls": [ "https://example.com/product/anvil", "https://example.com/blog/post" ] }' | apify call checksmithcats/structured-data-bulk-qa --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=checksmithcats/structured-data-bulk-qa", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Structured Data Bulk QA", "description": "Check public URLs for JSON-LD type presence, missing fields, format issues, and selected visible-page consistency signals.", "version": "0.1", "x-build-id": "e7bIQ748phn3nz0LQ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/checksmithcats~structured-data-bulk-qa/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-checksmithcats-structured-data-bulk-qa", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/checksmithcats~structured-data-bulk-qa/runs": { "post": { "operationId": "runs-sync-checksmithcats-structured-data-bulk-qa", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/checksmithcats~structured-data-bulk-qa/run-sync": { "post": { "operationId": "run-sync-checksmithcats-structured-data-bulk-qa", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "urls": { "title": "Page URLs", "type": "array", "description": "Public page URLs to check.", "items": { "type": "string", "pattern": "^https?:\\/\\/.+" } }, "sitemapUrl": { "title": "Sitemap URL", "pattern": "^https?:\\/\\/.+", "type": "string", "description": "Optional public sitemap URL containing pages to sample." }, "csvUrl": { "title": "CSV URL", "pattern": "^https?:\\/\\/.+", "type": "string", "description": "Optional public CSV URL with a URL column such as url, pageUrl, link, href, or loc." }, "targetTypes": { "title": "Target structured-data types", "type": "array", "description": "Optional subset to check. Supported values: Product, Article, FAQPage, BreadcrumbList, Recipe, VideoObject, MerchantReturnPolicy, OfferShippingDetails. Leave empty to check all supported types detected on each page.", "items": { "type": "string" }, "default": [] }, "sampleLimit": { "title": "Sample limit", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of extracted URLs to inspect.", "default": 25 }, "monitorMode": { "title": "Structured-data monitor mode", "type": "boolean", "description": "Compare current compact structured-data signals with the latest saved baseline. JobPosting is excluded and handled by the dedicated expiry monitor.", "default": false }, "saveBaseline": { "title": "Save current structured-data snapshot", "type": "boolean", "description": "Save the current compact structured-data snapshot as the latest baseline for the next monitor run.", "default": true }, "stateStoreName": { "title": "State store name", "type": "string", "description": "Key-value store name for structured-data monitor state.", "default": "structured-data-bulk-monitor-state" } } }, "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 } } } } } } } } } } ```