Batch Updating Blog Metadata via HubSpot API (SEO Optimisation at Scale with CMS Automation and Structured Content Pipelines)
Keeping your blog SEO-optimised isn't a one-time job. Over time, titles, meta descriptions, topic tags, and canonical URLs often become outdated or inconsistent. Manual updates are slow and error-prone — especially for teams managing dozens or hundreds of posts.
With HubSpot's API, you can batch update blog metadata programmatically — a huge win for SEO teams, international marketers, and agencies managing multiple clients.
In this guide, you'll learn:
- When and why to batch-update metadata using the API
- How to fetch and audit all blog post metadata via HubSpot
- How to prepare your update payloads (titles, tags, descriptions, canonicals)
- How to push updates safely via the Blog Posts API
- Pro tips on backups, versioning, and diff-based updates
- How to integrate changes with HubDB, Airtable, or Sheets
1. Why Batch Update Blog Metadata?
Over time, blog content accumulates small problems:
- Titles no longer reflect intent or keyword targeting
- Meta descriptions are missing, too long, or clickbait
- Tags are inconsistent or irrelevant
- Canonical links are misused, causing duplicate content issues
Manual fixes are slow and subjective. Batch updates let you:
- Improve consistency and SEO in bulk
- Align old content with new strategy (e.g. focus topics, SERP features)
- Optimise for locale-specific metadata
- Reduce human error by enforcing schema
2. Getting Access: API Scopes & Blog IDs
You'll need:
- CMS and content scopes on your HubSpot private app
- The blog ID, which can be fetched via:
GET /cms/v3/blogs/blogs
Response includes:
{
"results": [
{
"id": "123456",
"name": "Main Blog",
...
}
]
}
Use this id in subsequent blog post API calls.
3. Auditing Existing Blog Metadata
Fetch all blog posts:
GET /cms/v3/blogs/posts?limit=100&archived=false
Loop through results to extract:
html_title (meta title)
meta_description
tag_ids
canonical_url
Export to CSV or sync with Google Sheets, Airtable, or HubDB for review.
Tip: Track original values to allow rollback or diffs later.
4. Preparing Update Payloads
Create an input file (metadata-updates.json) with structured data:
[
{
"id": "987654321",
"html_title": "New Optimised Title",
"meta_description": "Updated SEO-rich description here.",
"canonical_url": "https://example.com/blog/optimised-post",
"tag_ids": [1122, 3344]
},
...
]
Use a script to generate these entries from:
- ChatGPT SEO rewrites
- HubDB content rows
- Google Sheets formulas
- Airtable automations
5. Pushing Updates via the HubSpot API
For each blog post:
PATCH /cms/v3/blogs/posts/{postId}
Content-Type: application/json
{
"html_title": "New Title",
"meta_description": "Updated Description",
"canonical_url": "https://example.com/blog/new-url",
"tag_ids": [123, 456]
}
Use throttling and retries to avoid hitting API limits (max 100 requests every 10 seconds).
Safety First:
Use a dry-run mode or add ?dry-run=true logic in your script to preview changes.
6. Version Control, Rollback, and Logging
Maintain a versioned .json or .csv log of before/after states per post:
{
"id": "987654321",
"before": {
"html_title": "Old Title",
"meta_description": "Old Description"
},
"after": {
"html_title": "New Optimised Title",
"meta_description": "Better SEO Description"
}
}
Store logs in Git, Notion, or S3
Rollback with saved pre-update payloads
Generate visual diffs for stakeholder review
7. Pro Tips for Scale and Accuracy
Use tag name → ID mappings by calling /cms/v3/blogs/tags
Validate meta_description
is under 155 chars (for Google snippet display)
For locales, use a suffix or prefix: “UK | Product Guide”
If working with multiple blogs, isolate post IDs per blog to avoid conflicts
Use schema-aware tools (e.g. Screaming Frog + API) to validate canonical structure
8. Optional: HubDB-Powered Metadata Source
Store metadata inputs in HubDB:
slug | meta_title | meta_description |
---|---|---|
blog/uk-product | UK Product Guide | Discover tailored tools for the UK |
blog/de-service | DE Service Update | Neuigkeiten für deutsche Nutzer |
Use an API script to match slug to post_id and apply the correct updates dynamically.
This centralises content metadata in a governed, non-dev table.
9. Bonus: Automate Your Metadata Review Pipeline
Integrate:
- Airtable or Google Sheets: For human review and commenting
- GitHub Actions or cron jobs: To auto-update live metadata weekly
- Smart content checks: Flag missing or weak meta descriptions automatically
You could even pair this with HubSpot’s Workflow API for content status updates (e.g. notify “SEO team” when old metadata is updated).
Conclusion
Batch updating blog metadata through the HubSpot API transforms your CMS into a scalable, governed content platform. It enables SEO improvements at speed, ensures consistency across hundreds of assets, and gives marketing teams central control over critical content attributes.
Also see: [Building an Auto-QA Metadata Pipeline with HubSpot API and Screaming Frog]