This workflow automates the process of extracting SEO metadata from web pages and updating Airtable records. Triggered manually, it fetches URLs from an Airtable base, retrieves each webpage’s content, extracts the title and meta description tags, and updates the respective Airtable records with this data. This can be useful for SEO audits, content management, and ensuring website metadata consistency. The workflow involves a Manual Trigger for initiation, Airtable nodes for data retrieval and update, an HTTP request to fetch webpage content, and an HTML node for extraction of SEO tags. It’s ideal for content teams aiming to streamline meta tag management or SEO specialists conducting batch audits.
Automate SEO Metadata Extraction and Update in Airtable
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Categories: Automation, Content Management, Data Processing, Misc, SEO, Web Scraping
Tags: Automation, Data Extraction, Database Management, Metadata, SEO & Tracking
Node Count | 6 – 10 Nodes |
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Nodes Used | airtable, html, httpRequest, manualTrigger, stickyNote |
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