Wire Walking Farm 7 into the CRM your agents already use

Premier Services subscribers tap Walking Farm to draw a polygon over a target block and pull every homeowner record inside it — APN, recorded owner name, owner-occupancy flag, mailing-address divergence — in walking order, the order their fingertip traced on the aerial map, per the app's Play Store listing. That ordered list is the thing brokerages actually want piped into their CRM. The studio's working assumption is that you already have a Premier Services agent (or can sponsor one); we then run an authorized interface integration under that agent's session, push note-save events as webhooks, and hand back the polygon-to-records client as runnable source.

Behind a polygon tap

Three surfaces matter for ingestion. The polygon-to-records read is the bulk pull. The note-save flow is the real-time push. The export hook is the durable fallback. Coverage in the table below reflects what is visibly available in the Android build (com.newhomepage.walkingfarm4) and the parallel iOS listing (App Store id 964620118), confirmed during the build.

Field scenarios we usually wire

Three end-to-end flows cover most of what brokerages ask for here.

Pre-walk territory build. An agent draws a polygon on Monday morning. The integration pulls every record inside it, drops them into the CRM with the walking-index intact, and tags absentee versus owner-occupied so the team's outreach scripts split cleanly before they leave the office.

In-field note sync. While the agent walks, each note typed in Walking Farm fires a webhook event to the CRM keyed by APN. The CRM activity log fills in live; no end-of-day re-export, no manual reconciliation.

Quarterly farm refresh. Ownership changes hands. We re-run the polygon, diff the new record set against the saved farm, and emit a change feed — new owner, prior owner, sale-date if surfaced — so the agent's quarterly mailer drops with current names.

Routes into the data

Four routes apply, in declining order of how often we end up using them.

1. Authorized interface integration under a Premier Services session

An agent on your team (or one we sponsor during onboarding) signs in; we observe the wire between the app and the Premier Services backend, document the request envelope and auth chain, and build a client that calls the same surfaces on the same entitlement. Highest fidelity, including the walking-order field and the absentee flag. Durability is tied to Chicago Title's release cadence; we cycle session tokens ahead of expiry so the sync does not stall partway through a farm.

2. Native export hook

Walking Farm has a built-in export. We wrap that export with a watcher so saved exports are picked up, parsed, and pushed into the CRM without an agent emailing themselves a file. Lower fidelity than route 1 (the export is coarser than the live surface) but the most durable path; useful as a backfill while route 1 is being re-authorized.

3. Wholesale title-plant provider

Where Chicago Title's title plant does not cover an agent's county, the same underlying records are available under licence from DataTrace, TitleFlex (DataTree), First American DNA, or HouseCanary. Different product, different licence terms, but a legitimate fill where Premier Services has gaps. Per DataTrace's own materials, its Digital Gateway exposes the title plant over a single API connection — concretely usable as a county-level fallback.

4. User-consented credential access

For very small teams without a routable Premier Services session, the subscribing agent consents to a credential-scoped integration we host; queries run on their behalf, audited and logged. The narrowest of the four, used sparingly.

The route we recommend on most engagements is route 1 as the live surface, route 2 as the safety net, and route 3 only where coverage demands it — chosen per territory, not per app.

What lands in your repo

Concretely, the engagement ends with these artefacts in your repository.

• A Python client for the polygon-to-records pull, with retries, token cycling, and a typed response model that preserves walking-order index. A Node.js port ships alongside if your CRM glue lives in TypeScript.
• A webhook handler for the note-save flow — signed, with a small replay log keyed on APN plus event timestamp so retries land cleanly against the CRM.
• An automated test harness bound to a Premier Services session, exercising polygon shapes that we have already seen produce edge cases (very thin LineStrings, multi-parcel APNs, condo stacks).
• An OpenAPI sketch of the surfaces we hit, plus the auth-flow report describing the token chain and refresh window. These two are deliverables, just not the headline ones.
• An interface-evidence pack — the request/response pairs we used, with personal data scrubbed — so a successor engineer can recreate the work without a session of their own.
• Compliance and data-retention guidance covering Premier Services licence scope, CCPA/CPRA touchpoints for California homeowners, and a one-page handover for your compliance reviewer.

How the polygon-to-records call looks in code

Illustrative shape of the bulk read. The exact field names get pinned during the build; the endpoint and envelope below reflect the surface as observed under a Premier Services session.

# Resolve a walking-order farm from a hand-drawn path
# The path index is the part agents actually care about preserving.
import requests

session = walking_farm_session(premier_member_token)  # arranged during onboarding

farm = session.post(
    "/v1/farms/walk",
    json={
        "geometry": {
            "type": "LineString",                 # the fingertip path, ordered
            "coordinates": [[-118.451, 34.026],
                            [-118.450, 34.026],
                            [-118.450, 34.027]]
        },
        "options": {"include_absentee": True,
                    "include_notes": False}
    },
    timeout=30,
).json()

# farm["properties"] arrives in walking order; preserve it on ingest.
for n, p in enumerate(farm["properties"]):
    crm.upsert_lead(
        external_id=f"ct-wf:{p['apn']}",
        walking_index=n,
        address=p["situs_address"],
        owner=p["owner"]["primary_name"],
        owner_occupied=p["owner_occupied"],
        mailing_address=p["owner"].get("mailing_address"),
        farm_id=farm["farm_id"],
    )

# Note-save webhook (separate transport): inbound to your edge,
# verified with the shared secret negotiated during install,
# then fanned to the matching CRM lead.
def on_note_save(event):
    assert verify_signature(event)
    crm.activity.append(
        lead_external_id=f"ct-wf:{event['apn']}",
        note=event["note_body"],
        at=event["saved_at"],
        source="walking_farm",
    )

Field realities we plan for

These are the things we work through during the engagement so they do not surface as surprises mid-build.

Premier Services is a gated entitlement, not a self-serve key. Chicago Title's local Sales Executive controls who has access in which region. We line up a sponsoring agent's session with you during onboarding; the integration runs under that authorization with full request logging, and the session-token cadence we run on is shaped by the Premier Services refresh window rather than guessed at.

The walking order is the product, not a nice-to-have. The fingertip path is what makes Walking Farm different from a polygon-only county lookup, and most ingestions we have seen drop that signal on the floor. We carry the path index through every layer of the schema, so the CRM call list comes out in the same sequence the agent traced.

Title-plant coverage varies by county. Chicago Title's plant is deep in some counties, thinner in others. We map the coverage envelope for the agent's territory up front and stub a wholesale-provider call (DataTrace, TitleFlex, First American DNA) for the gaps, so a missing record reads as a known coverage gap rather than as a record we silently dropped.

Owner-occupancy is a derived field, not a primary key. The flag is computed from situs-versus-mailing divergence. PO boxes, post-divorce mailing redirects, and trust-held parcels can flip the flag incorrectly. We document the rule the app appears to apply, surface the inputs alongside the flag, and let the CRM apply its own threshold if the brokerage prefers a stricter one.

Homeowner-data rules

The underlying ownership records are public county-recorder data. The thing that is licensed is the aggregation — the title plant Chicago Title built on top of those records, gated through Premier Services. Two practical consequences for an integration.

First, the binding constraint on resale or onward distribution is the Premier Services subscription agreement, not statute. We read the agent's subscription terms during onboarding and scope the integration so it serves the subscribing brokerage's own prospecting, not a third-party data resale. Where the brokerage wants downstream redistribution, we route that through route 3 (a wholesale-data provider with its own redistribution licence) rather than via the Premier Services session.

Second, where homeowner data on California residents is in scope, the brokerage's existing CCPA / CPRA obligations apply on the CRM side — deletion requests, the right-to-know surface, and the limits on use for cross-context advertising. We hand back a one-page mapping of which fields are personal information under the statute, and where each lands in the CRM, so your compliance reviewer is not starting from a blank page. Other state privacy regimes (Colorado, Virginia, Connecticut, Texas) get a brief footnote with their own field-by-field mapping where relevant.

How we charge

A first integration lands inside one to two weeks: the polygon-to-records client, the note-save webhook handler, the test harness against a real Premier Services session, the OpenAPI sketch, and the interface-evidence pack. Source-code delivery starts at $300, and the invoice goes out after you have run the integration against your own farm and confirmed it does the job — if it does not, you do not pay. If you would rather skip the build entirely, our hosted endpoint covers the same call shape; you pay per call, no upfront fee. Either way, send the app name and what you want lifted from it — open a brief — and we will come back with scope.

Adjacent tools agents already pair with

Brokerages rarely run Walking Farm in isolation. The integrations we get asked about most often touch the names below. Listing them here is ecosystem context, not ranking; each holds adjacent data a unified prospecting view tends to want.

• Chicago Title Advantage — the same vendor's combined property-profile and farm front-end; same Premier Services backstop, broader query surface than Walking Farm alone.
• KnockWise — door-to-door CRM with its own historical-MLS overlay per parcel; integrators usually want note-flow parity between the two.
• SalesRabbit — field-sales mobile app with a DataGrid homeowner enrichment add-on; common second source for owner-name data where coverage thins.
• SPOTIO — high-volume door-knocking platform; usually wired as the canvass system of record when the brokerage runs farming as a campaign.
• Curb Hero — open-house and door-knocking capture; the lead capture pairs with Walking Farm's polygon as the targeting layer.
• Espresso Agent — expired-listing and FSBO prospecting data; often the upstream lead source where Walking Farm is the routing layer.
• Vulcan7 — expired-listing dialer with attached homeowner records; complementary to Walking Farm's geographic farm.
• REDX — expireds, FRBOs, and pre-foreclosure lead provider; integrators want APN-level joins with the Walking Farm record set.

Questions integrators ask

Whose Premier Services entitlement does the integration run under?

Either an agent on your team who already subscribes, or a sponsored Premier Services account we arrange during onboarding. Session credentials stay with you; we drive the integration under that authorization, with logging.

Walking Farm exports a flat file — can we get note updates without an agent re-exporting?

Yes. We hook the note-save flow so each saved note pushes as a webhook event to your CRM keyed by APN, while the bulk polygon-to-records pull stays the periodic system of record.

Does the walking order survive the round trip into a CRM?

It does if we preserve it on ingest. We pass the path index through as a walking_index field on each lead so a CRM call list comes out in the same sequence the agent drew on the aerial map.

What if Chicago Title's title plant does not cover the agent's county?

We map the coverage gap up front, then route those gaps to a wholesale provider such as DataTrace or TitleFlex so a missing record shows as a coverage gap rather than a silently dropped property.

What this brief was built from

Notes were taken from the Play Store listing for com.newhomepage.walkingfarm4 (per its Play Store page) and the parallel iOS listing (App Store id 964620118 per the App Store), cross-checked against Chicago Title's own mobile-apps page, and the wholesale-API landscape against DataTrace's public materials. The brief reflects what was visible at the time and does not claim live access to any Premier Services subscription.

• Chicago Title — Mobile Apps (Walking Farm in vendor's own catalog)
• App Store listing (iOS) — id 964620118
• Google Play listing (Android) — com.newhomepage.walkingfarm4
• DataTrace — API and Digital Gateway materials (wholesale-route reference)

OpenFinance Lab — Walking Farm assessment, 2026-06-03.