PAL | Open Graph Meta Tag Checker for SEO
Pricing
from $4.00 / 1,000 open graph audit results
PAL | Open Graph Meta Tag Checker for SEO
Open Graph tag checker for up to 18 public HTML URLs. Inspect og:title, og:description, og:url and og:image metadata, flag missing fields and export CSV/JSON for link-sharing QA. Checks tags rather than rendering actual share previews.
Pricing
from $4.00 / 1,000 open graph audit results
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Practical AI Lab
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PAL Open Graph Audit
Catch missing social preview metadata before product and article launches
Designed for: Content marketers and website QA teams releasing new landing pages.
What you receive: A check of og:title, og:description, og:url and og:image in one Dataset row per page, with issue flags for manual fixes.
Test one real page in under a minute
Paste this into the Input tab and press Start:
Run on a representative page, review the results, export any missing-tag issues to the launch ticket, and re-check after deployment.
Billing: Pay per event for processed pages; confirm the exact amount in this Actor’s Pricing tab before a run. Export Dataset results as JSON or CSV and rerun after editing your site.
Limitations: An og:image tag does not guarantee every social platform will display the image. Only public static HTML; no account login, JavaScript rendering or edits to third-party websites.
Continue your workflow with PAL
PAL Open Graph Audit
Check og:title, og:description, og:url and og:image for sharing previews.
Ideal users and practical workflow
Best for: SEO specialists, store owners and content teams.
What it checks: Check og:title, og:description, og:url and og:image for sharing previews. Upload a short list of public HTTPS URLs to receive an individual evidence-based record and issue flags per page. Review the flagged URLs first, then export the Dataset as JSON or CSV for your team's workflow.
When it is useful: Before releasing a new page, after a redesign, or during a monthly search-indexing review.
What it does not do: It does not crawl an entire website automatically, render JavaScript, guarantee a search ranking, or change the target site. Check the exact limitations below before purchasing runs.
Why use this PAL Actor?
Get a structured, repeatable report for this specific issue without opening dozens of webpages by hand. Each input URL is analyzed independently. The output identifies data found on the page and flags likely omissions for manual review. Save output in Apify Dataset and export to JSON, CSV or Excel.
Practical use cases
Built for: SEO specialists, technical site auditors, ecommerce growth teams.
- Spot the issue: Check og:title, og:description, og:url and og:image for sharing previews. See machine-readable results for each submitted public URL.
- Prioritize corrections: use
issues,issueCountanddetailsto decide which pages merit human review. - Repeat as needed: rerun the same URL list after editing page markup to compare findings.
What makes this tool useful?
Focused on Open Graph Audit, rather than requiring a full-site crawling subscription. Export results to a spreadsheet, CSV or a data pipeline; connect via Apify API where appropriate. The tool processes static HTML and embedded metadata, with no client-side browser, API keys or private-page logins.
Important: each URL is a separate charged successful audit event at the rate visible in Apify Store. A missing signal is an observation, not a legal or search-engine verdict. If your site renders important data only with JavaScript, that data may not appear in the result.
How this fits with other Practical AI Lab (PAL) tools
For ecommerce projects, start with PAL Product Price & Stock Snapshot and follow with PAL Product GTIN & SKU SEO Auditor to inspect identifiers. For storefront trust information, use PAL Store Policy Link Mapper before reviewing return or shipping schema. These are independent PAL tools; there is no bundle requirement.
Example input
Results
Each successful fetch produces a Dataset row with sourceUrl, finalUrl, mode, issueCount, issues and details. Issue flags indicate markup detected in static HTML; they are not a guarantee of legal compliance, accessibility certification, search rank, or a live inventory position. Missing data can be published through JavaScript or other channels not read here.
Billing
Pay per event: pal-opengraph is triggered for each successfully fetched and audited page at the price displayed by Apify Store. URL errors generate a free error row. Maximum 18 URLs per run. No paid API keys, logins, or third-party services required.
Technical limits
Public HTTPS only; no JavaScript rendering, captcha bypass or private pages. Each response is at most 1.5 MB, 11-second network timeout. The site may block bots. Output reflects visible HTML at retrieval time, not a complete website audit. Running the Actor does not itself fix issues.
More Practical AI Lab (PAL) tools
Use independent PAL tools in a natural sequence: first capture price and stock, then audit the corresponding product markup; or locate policy links and inspect returns/shipping markup. Each Actor is separately usable, with no mandatory bundle.
- PAL Product Price & Stock Snapshot
- PAL Return Policy Schema Auditor
- PAL Shipping Promise Schema Audit
- PAL Product GTIN & SKU SEO Auditor
- PAL Store Policy Link Mapper
Browse the PAL developer profile for additional focused audit tools.
Practical AI Lab | Catalog product 06 | SEO
