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Backfill Geo Data

skill-tomgranot-hubspot-admin-skills-backfill-geo-data · by TomGranot

Enrich missing geographic data (country, state, city) on contacts and companies using HubSpot workflows, external data providers, or IP-based geolocation.

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Install

$ agentstack add skill-tomgranot-hubspot-admin-skills-backfill-geo-data

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Security review

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No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets Used
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

Backfill Geographic Data

Fill in missing country, state, and city values on contacts and companies. Geographic data enables territory assignment, regional reporting, and compliance (GDPR, state privacy laws).

Prerequisites

  • HubSpot API token in .env
  • Python with hubspot-api-client installed via uv
  • Standardized geo values already in place (run /standardize-geo-values first)

Enrichment Methods

Method 1: HubSpot Workflow Enrichment (Simplest)

Use HubSpot's built-in Operations Hub data quality tools or Breeze Intelligence (if available on your plan) to auto-fill geographic fields.

  1. Create a workflow triggered by: country is unknown AND email is known
  2. Use the "Enrich contact" action (Operations Hub Professional+) or Breeze Intelligence enrichment
  3. If enrichment fills country/state, the workflow completes
  4. If enrichment fails, branch to flag for manual review

Method 2: Company Domain Lookup (API-based)

For contacts with a company domain but no geo data, look up the company's geographic information:

from hubspot import HubSpot
from hubspot.crm.contacts import PublicObjectSearchRequest

api_client = HubSpot(access_token=os.getenv("HUBSPOT_API_TOKEN"))

# Find contacts missing country but with company association
search = PublicObjectSearchRequest(
    filter_groups=[{
        "filters": [
            {"propertyName": "country", "operator": "NOT_HAS_PROPERTY"},
            {"propertyName": "associatedcompanyid", "operator": "HAS_PROPERTY"}
        ]
    }],
    properties=["email", "associatedcompanyid"]
)

Copy country/state/city from the associated company to the contact (same pattern as /enrich-company-name).

Method 3: External Data Provider

Integrate with a third-party enrichment service (Clearbit, ZoomInfo, Apollo, etc.):

  1. Export contacts missing geo data
  2. Run through enrichment provider
  3. Import enriched data back via CSV or API

Step-by-Step Instructions

Stage 1: Before — Assess the Gap

  1. Count contacts missing country, state, and city.
  2. Segment by source — which lead sources tend to have missing geo data?
  3. Choose the enrichment method based on volume and budget.

Stage 2: Execute — Run Enrichment

  1. Apply the chosen method (or combine methods for maximum coverage).
  2. Process in batches of 100 to respect rate limits.
  3. Validate enriched values against the standardized geo format from /standardize-geo-values.

Stage 3: After — Verify

  1. Re-count contacts missing geographic fields. Calculate improvement percentage.
  2. Spot-check 20-30 enriched contacts for accuracy.
  3. Set up the new-contact hygiene workflow to prevent future gaps.

Stage 4: Rollback

  • If enrichment data is inaccurate, filter contacts updated by the enrichment process (use hs_lastmodifieddate range) and clear the geo fields.
  • Keep a backup export of the original data before running enrichment.

Tips

  • IP-based geolocation (from form submissions) is already captured by HubSpot in ip_city, ip_state, ip_country. Copy these to the standard fields if the standard fields are empty.
  • Do not overwrite manually-entered geo data with enrichment data — always check "if empty" before writing.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.