Project: Zoho CRM Property Data API Integration (UK)
Budget: £20 – £250 GBP
Overview
I use Zoho CRM to manage UK residential property opportunities. A third-party provider supplies property listing status and market pricing via an API.
I will continue uploading properties manually into Zoho (this is intentional). What I now require is an on-demand sync that:
Keeps listing status accurate
Enriches each property record with price-per-square-foot intelligence
Your role is to design and implement a reliable integration (“the bridge”) between Zoho CRM and the provider’s API.
Existing Setup
Zoho CRM is live and already populated with property records
Each record includes:
A URL pointing to the provider’s listing
The URL contains a unique property identifier (ID)
The data provider’s API exposes:
Listing status (active / withdrawn / sold / etc.)
Postcode-level £/sqft pricing
Property-level price and size fields
Required Functionality
1. Listing Status Validation
Parse the unique property ID from the stored URL
Query the provider’s API using this ID
If the property is no longer for sale:
Automatically update the Zoho record (e.g. mark as sold / inactive or remove — behaviour to be agreed)
2. Price-Per-Square-Foot Analysis
For each active property:
Retrieve postcode-level £/sqft from the API
Calculate the property’s actual £/sqft using:
Asking price (from API)
Property size (from API)
Compute and store:
Absolute difference (£/sqft)
Percentage variance vs postcode average
Write all derived values back to defined Zoho CRM fields
3. On-Demand Sync (Not Real-Time)
Sync must be manually triggered on demand
e.g. button, function, or controlled execution
No real-time or webhook triggers required
Must support bulk processing of existing records efficiently
API usage must be rate-limited and safe
Bulk Update Requirement
The solution must support a full historical run across the existing database to:
Identify and update sold / inactive properties
Populate £/sqft, postcode benchmarks, and discount / premium percentages
Be re-runnable without corrupting data
Technical Expectations
Implementation may use any of the following (you decide):
Zoho Deluge functions
Zoho Flow
Standalone script (Python / Node)
Lightweight middleware (cron / serverless)
Mandatory requirements:
Secure API authentication
Clean JSON → Zoho field mapping
Error handling with clear failure states
Logging sufficient to confirm:
Sync started
Records processed
Errors (if any)
Deliverables
Fully working on-demand integration
Initial bulk run against existing database
Documentation covering:
Setup
How to trigger the sync
What fields are written and how calculations work
Success Criteria
Zoho CRM accurately reflects whether a property is still for sale
£/sqft metrics and discount / premium percentages are correct and up to date
Bulk updates complete reliably
The sync can be run repeatedly without manual cleanup
What to Include in Your Proposal
Recommended architecture and reasoning
Relevant experience with Zoho CRM and API integrations
Estimated delivery timeline
Fixed price (no open-ended billing)
I use Zoho CRM to manage UK residential property opportunities. A third-party provider supplies property listing status and market pricing via an API.
I will continue uploading properties manually into Zoho (this is intentional). What I now require is an on-demand sync that:
Keeps listing status accurate
Enriches each property record with price-per-square-foot intelligence
Your role is to design and implement a reliable integration (“the bridge”) between Zoho CRM and the provider’s API.
Existing Setup
Zoho CRM is live and already populated with property records
Each record includes:
A URL pointing to the provider’s listing
The URL contains a unique property identifier (ID)
The data provider’s API exposes:
Listing status (active / withdrawn / sold / etc.)
Postcode-level £/sqft pricing
Property-level price and size fields
Required Functionality
1. Listing Status Validation
Parse the unique property ID from the stored URL
Query the provider’s API using this ID
If the property is no longer for sale:
Automatically update the Zoho record (e.g. mark as sold / inactive or remove — behaviour to be agreed)
2. Price-Per-Square-Foot Analysis
For each active property:
Retrieve postcode-level £/sqft from the API
Calculate the property’s actual £/sqft using:
Asking price (from API)
Property size (from API)
Compute and store:
Absolute difference (£/sqft)
Percentage variance vs postcode average
Write all derived values back to defined Zoho CRM fields
3. On-Demand Sync (Not Real-Time)
Sync must be manually triggered on demand
e.g. button, function, or controlled execution
No real-time or webhook triggers required
Must support bulk processing of existing records efficiently
API usage must be rate-limited and safe
Bulk Update Requirement
The solution must support a full historical run across the existing database to:
Identify and update sold / inactive properties
Populate £/sqft, postcode benchmarks, and discount / premium percentages
Be re-runnable without corrupting data
Technical Expectations
Implementation may use any of the following (you decide):
Zoho Deluge functions
Zoho Flow
Standalone script (Python / Node)
Lightweight middleware (cron / serverless)
Mandatory requirements:
Secure API authentication
Clean JSON → Zoho field mapping
Error handling with clear failure states
Logging sufficient to confirm:
Sync started
Records processed
Errors (if any)
Deliverables
Fully working on-demand integration
Initial bulk run against existing database
Documentation covering:
Setup
How to trigger the sync
What fields are written and how calculations work
Success Criteria
Zoho CRM accurately reflects whether a property is still for sale
£/sqft metrics and discount / premium percentages are correct and up to date
Bulk updates complete reliably
The sync can be run repeatedly without manual cleanup
What to Include in Your Proposal
Recommended architecture and reasoning
Relevant experience with Zoho CRM and API integrations
Estimated delivery timeline
Fixed price (no open-ended billing)