👁 HTML Metadata Extractor (OG, Twitter Cards, Schema.org) avatar

HTML Metadata Extractor (OG, Twitter Cards, Schema.org)

Pricing

Pay per usage

👁 HTML Metadata Extractor (OG, Twitter Cards, Schema.org)

HTML Metadata Extractor (OG, Twitter Cards, Schema.org)

Extract structured metadata from any URL: title, description, OpenGraph (og:title/image/type/url/site_name), Twitter Cards, canonical, favicon, JSON-LD schema.org, language, h1 count, images, links. Used for link previews, SEO audits, content cataloging. $0.005/URL.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

👁 Hojun Lee

Hojun Lee

Maintained by Community

Actor stats

Bookmarked

Total users

Monthly active users

4 days ago

Last modified

HTML Metadata Extractor

Extract structured metadata from any URL: title, description, OpenGraph (og:*), Twitter Cards, canonical, favicon, JSON-LD schema.org, language, h1 count, images, links. Used for link previews, SEO audits, content cataloging. $0.005 per URL.

Why this exists

Whenever you build a link-preview feature (Slack-style unfurl, Discord embed, content sharing), you need to call the same dozen meta-tag lookups. This actor does it in one call, returning everything you'd ever want from <head>.

What you get per row

Title / description / language

Field	Example
`title`	`Apify: Full-stack web scraping...`
`meta_description`	`Cloud platform for web scraping...`
`meta_keywords`	`web scraping, automation, ...`
`html_lang`	`en`
`domain`	`www.apify.com`
`canonical_url`	`https://www.apify.com/`

OpenGraph

Field	Example
`og_title`	`Apify`
`og_description`	`...`
`og_image`	`https://...og.png`
`og_type`	`website`
`og_url`	`https://...`
`og_site_name`	`Apify`
`og_locale`	`en_US`

Twitter Card

Field	Example
`twitter_card`	`summary_large_image`
`twitter_title`	`...`
`twitter_description`	`...`
`twitter_image`	`https://...`
`twitter_site`	`@apify`
`twitter_creator`	`@apify`

Article-specific

Field	Example
`article_published_time`	`2026-06-09T14:00:00Z`
`article_modified_time`	`2026-06-10T10:00:00Z`
`article_author`	`Jane Doe`
`article_section`	`Engineering`
`article_tags`	`["python","scraping"]`

JSON-LD schema.org

Full array of structured-data objects found on the page (Article, Product, FAQPage, etc).

Structural stats

Field	Example
`h1_count`	`1`
`first_h1`	`Welcome to Apify`
`image_count`	`34`
`link_count`	`127`

Quick start

Single URL

{
"url":"https://www.apify.com/"
}

Batch

{
"urls":[
"https://www.apify.com/",
"https://docs.apify.com/",
"https://www.techcrunch.com/"
]
}

Pricing

Pay-Per-Event: $0.005 per URL.

Run	URLs	Cost
Single	1	$0.005
Batch of 100	100	$0.50
Daily 1K SEO audit	1000	$5.00

Use cases

Slack/Discord link unfurl — Power your own bot's URL preview
SEO competitor audit — Pull OG / Twitter / canonical from 100 sites at once
Content catalog — Build a database of article metadata from your RSS sources
Schema.org validation — Verify structured data is present on key pages
Newsletter aggregation — Get clean previews for each linked article

Related actors (same author)

Web Page → Markdown Converter — Get the article body too
Sitemap URL Discovery — Find all URLs to extract metadata from
PDF Text Extractor
JSON Schema Generator

Feedback

A short review helps SEO / content engineers find it: Leave a review on Apify Store

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