Pricing

from $3.00 / 1,000 results

Schema Markup Scraper & SEO Auditor

Extract JSON-LD, Microdata, RDFa, Open Graph & Twitter Cards. Runs a 0-100 SEO audit — checks canonical, hreflang, headings, image alt, EEAT author signals. Detects 80+ schema.org types including LocalBusiness with NAP, geo coordinates, and Google Place IDs.

Pricing

from $3.00 / 1,000 results

Rating

0.0

(0)

Developer

Richard Feng

Actor stats

Bookmarked

Total users

Monthly active users

11 days ago

Last modified

Categories

Developer tools

Automation

SEO tools

You can access the Schema Markup Scraper & SEO Auditor programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

{
  "openapi": "3.0.1",
  "info": {
    "version": "0.0",
    "x-build-id": "bKgMIgNqk39gU0BlS"
  },
  "servers": [
    {
      "url": "https://api.apify.com/v2"
    }
  ],
  "paths": {
    "/acts/autofacts~metadata-scraper/run-sync-get-dataset-items": {
      "post": {
        "operationId": "run-sync-get-dataset-items-autofacts-metadata-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": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK"
          }
        }
      }
    },
    "/acts/autofacts~metadata-scraper/runs": {
      "post": {
        "operationId": "runs-sync-autofacts-metadata-scraper",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor and returns information about the initiated run in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$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": {
                  "$ref": "#/components/schemas/runsResponseSchema"
                }
              }
            }
          }
        }
      }
    },
    "/acts/autofacts~metadata-scraper/run-sync": {
      "post": {
        "operationId": "run-sync-autofacts-metadata-scraper",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$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": [
          "startUrls"
        ],
        "properties": {
          "startUrls": {
            "title": "Start URLs",
            "type": "array",
            "description": "URLs to start crawling from",
            "items": {
              "type": "object",
              "required": [
                "url"
              ],
              "properties": {
                "url": {
                  "type": "string",
                  "title": "URL of a web page",
                  "format": "uri"
                }
              }
            }
          },
          "proxy": {
            "title": "Proxy configuration",
            "type": "object",
            "description": "Select proxies to be used by your crawler."
          },
          "maxRequestsPerCrawl": {
            "title": "Max Requests Per Crawl",
            "minimum": 1,
            "maximum": 100000,
            "type": "integer",
            "description": "Maximum number of pages that the scraper will open. The crawl will stop when this limit is reached.",
            "default": 100
          },
          "maxConcurrency": {
            "title": "Max Concurrency",
            "minimum": 1,
            "maximum": 100,
            "type": "integer",
            "description": "Maximum number of pages that will be processed in parallel.",
            "default": 10
          },
          "extractMetaTags": {
            "title": "Extract Meta Tags",
            "type": "boolean",
            "description": "Extract all meta tags from the page",
            "default": true
          },
          "extractSeoAnalysis": {
            "title": "Extract SEO Analysis",
            "type": "boolean",
            "description": "Extract SEO signals: canonical URL, hreflang (with validation), robots meta, heading hierarchy, author/EEAT info, image alt audit, article metadata, breadcrumbs, Dublin Core, viewport, and charset",
            "default": true
          },
          "extractGeoData": {
            "title": "Extract Geo/Local SEO Data",
            "type": "boolean",
            "description": "Extract geo meta tags, LocalBusiness schema, NAP (Name/Address/Phone), and Google Maps/Place ID references",
            "default": true
          },
          "computeSeoScore": {
            "title": "Compute SEO Score",
            "type": "boolean",
            "description": "Run an SEO audit producing a 0-100 score and list of issues aligned with Google ranking signals",
            "default": true
          },
          "extractRdfa": {
            "title": "Extract RDFa",
            "type": "boolean",
            "description": "Extract RDFa structured data (niche format, opt-in)",
            "default": false
          },
          "extractHCard": {
            "title": "Extract hCard/vCard",
            "type": "boolean",
            "description": "Extract hCard/vCard microformat contact data (niche format, opt-in)",
            "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
                  }
                }
              }
            }
          }
        }
      }
    }
  }
}

Metadata Scraper,JSON-LD,Microdata,Open Graph,Twitter Cards OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for Schema Markup Scraper & SEO Auditor from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

Schema Markup Scraper & SEO Auditor API in Python

Schema Markup Scraper & SEO Auditor API in JavaScript

Schema Markup Scraper & SEO Auditor API through CLI

Schema Markup Scraper & SEO Auditor API

Schema.org Markup Validator

scrappy_garden/schema-org-markup-validator

Validate Schema.org structured data for SEO. Parses JSON-LD, detects Microdata and RDFa, highlights schema types, and reports common issues like invalid JSON-LD, missing @type, non-schema.org @context, and missing key properties for popular schema types.

Bikram Adhikari

Structured Data Extractor - JSON-LD, Microdata & RDFa

scrappy_garden/structured-data-extractor

Extract and validate structured data from any web page for SEO. Parses JSON-LD, detects Microdata and RDFa, highlights schema.org types, and reports common markup issues.

Bikram Adhikari

SEO Metadata Extractor - Full SEO Audit in One Call

santamaria-automations/seo-metadata-extractor

Extract SEO metadata from any website: title, meta description, Open Graph, Twitter Cards, Schema.org JSON-LD, canonical URLs, hreflang, and H1 structure. Export data, run via API, schedule and monitor runs, or integrate with other tools.

Alessandro Santamaria

JSON-LD & Schema.org Extractor

andok/jsonld-extractor

Extract structured microdata (JSON-LD) from webpages to audit SEO schema implementations and rich snippets.

Andok

Schema.org Validator API | JSON-LD + Microdata

taroyamada/structured-data-validator

Validate JSON-LD and Microdata across multiple pages, score markup quality, and flag missing or malformed Schema.org data.

太郎山田

SEO/GEO - Schema Markup Scraper

wisteria_banjo/schema-markup-scraper

This actor to fetches JSON-LD/Schema Markup from Multiple URLs & checks whether the page contains markups for the following types: AggregateRating, Article, Event, FAQPage, LocalBusiness, Organization, Person, Product, & Review. Schema Markup helps search and generative engines find & read webpages.

Chris Xavier

Schema Markup Extractor - Structured Data & SEO

pink_comic/schema-markup-extractor

Extract JSON-LD structured data, Open Graph tags, Twitter Card metadata, and all meta tags from any URL. Returns @type values, schema objects, og: properties. Fast pure-HTTP SEO audit tool.

Ava Torres

SEO Audit Tool

cerebral_aluminum/seo-audit

Audit any website SEO. Checks title, meta, headings, images, OG tags, canonical, schema. Returns score and grade.

Benny

SEO Audit Pro

botflowtech/seo-audit-pro

Professional-grade SEO audit tool built for agencies, developers, and marketers. Extract 30+ SEO data points from any webpage including Title Tags, Meta Descriptions, H1-H6 Headings, Status Codes, Canonical URLs, Open Graph tags, Twitter Cards, JSON-LD structured data, and comprehensive SEO health.