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Check meta tags and Open Graph on three pages

Reads the title, meta description, canonical, robots directives, Open Graph, Twitter card tags and hreflang of three sample pages, checks title and description lengths and preview images, and lists the problems found on each page. Swap in your own URLs.

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Meta Tags Extractor: title, description, Open Graph, hreflang
Meta Tags Extractor: title, description, Open Graph, hreflangexamsens.ai/meta-tags-extractor
URL
Read
Status
Title
+10 fields
Text
Number
Boolean
List
Object

Input

URLs(required):https://github.com+2
Title: minimum characters:30

Output fields

URL
Read
Status
Title
Title length
Description
Description length
Canonical
Robots meta
Indexable
hreflang links
Issues
Issue list
Error

How it works

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The Meta Tags Extractor: title, description, Open Graph, hreflang Actor is ready to run with the inputs already set for "Check meta tags and Open Graph on three pages". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Check meta tags and Open Graph on three pages" task

The Meta Tags Extractor: title, description, Open Graph, hreflang Actor will start running based on the input automatically. You can also change all the input fields, like URLs and title: minimum characters, to match your specific use case.

Receive the "Check meta tags and Open Graph on three pages" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as URL, read, status, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Check meta tags and Open Graph on three pages" task via API.

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