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How to Sync Lead Search With Your CRM or Outbound Systems

Connect lead search results to CRM and outbound tools through API sync patterns.

Dievio Team · Growth Systems · March 30, 2026 · 6 min read

A ribbon of contact cards passes through a storage spool before entering a CRM drawer, with a recovery loop returning to saved results.

Key points

  • Choose a supported source operation and define the integration's responsibilities.
  • Map actual lead fields to the CRM schema with identity and overwrite rules.
  • Persist results and reconcile failures before repeating a paid retrieval.

A lead-to-CRM sync needs more than an API request. Define which records to retrieve, how they map to the destination, what identifies an existing contact and when a record may enter an outbound workflow.

In Dievio, lead retrieval and LinkedIn profile lookup are source operations. Scheduling, CRM writes, webhook relays and sequence enrolment belong to your integration unless a native capability is separately documented.

Choose the trigger and the owner of each stage

Integration patterns you can implement
PatternUseful whenWhat your integration owns
Scheduled retrievalA defined audience needs periodic review or deliverySchedule, documented search requests, checkpoints and downstream updates
Application-triggered lookupAn approved event supplies a supported input, such as a known LinkedIn profile URLInput validation, lookup choice and the decision to update a record
Application-owned relayValidated results need to reach another tool through an event endpointEvent format, delivery, duplicate handling and reconciliation

Choose a named owner for retrieval, data review, CRM writes and campaign activation. A successful import should not automatically mean a contact is ready to receive a sequence.

Use the documented search contract

The public lead-search endpoint is POST https://dievio.com/api/public/search. Authenticate with a dashboard-generated API key as a Bearer token and send JSON. The current API entry point describes pagination and credit handling.

This small request illustrates the documented fields. It is a live retrieval request, so returned records consume API credits; use a local fixture when testing only your mapping code.

POST https://dievio.com/api/public/search
Authorization: Bearer YOUR_API_KEY
Content-Type: application/json

{
  "job_titles": ["Founder"],
  "person_location_country": ["United States"],
  "max_results": 5,
  "_per_page": 5,
  "_page": 1
}

Read returned records from preview_data. Pagination uses _page and _per_page, with response fields such as has_more and next_page. Continue with the returned numeric page information and the documented endpoint.

  • Keep the filter definition and requested page size consistent within the job.
  • Check the response before advancing the checkpoint.
  • Stop when the documented pagination indicates no further page.
  • Handle insufficient credits or a changed effective page size explicitly rather than assuming a full uninterrupted extraction.

Public API credits are separate from workspace subscription/search credits. A repeated retrieval can spend credits again, including for previously seen people. Downloading an already saved list adds no search-credit charge; it is a different operation.

Map real fields to the destination schema

Inspect a bounded response and the CRM's current property definitions before writing the transformation. Some fields are absent or null. Do not turn a missing value into a fabricated email, phone number or company relationship.

Examples to verify against your CRM account
Returned fieldSalesforce Lead exampleHubSpot Contact example
first_nameFirstNamefirstname
last_nameLastNamelastname
work_emailEmailemail
job_titleTitlejobtitle
companyCompany text fieldcompany contact property where appropriate
mobile_phoneMobilePhone when appropriatemobilephone when appropriate
linkedin_urlVerify an existing or approved custom URL fieldVerify an existing or approved custom URL property

Verify Salesforce names and types in its Lead field reference. A company-name text field is different from an Account relationship. Validate required fields, record types and custom rules in your organisation instead of assuming every record needs the same association lookup.

HubSpot contact properties and company associations are also separate concepts. Its Contacts API guide documents property names and associations. Use the property schema from your account; labels visible in a CRM screen are not always API names.

Preserve original source values during review. Normalize a phone only when you have enough information to do so correctly, and route overlong or incompatible values to an exception queue rather than silently truncating important data.

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Dievio APIExample
POST /api/public/search{ "job_titles": ["Founder"], "max_results": 10 }
Contacts ready for your workflow

Define identity and overwrite rules before the first write

  • Identity: define which stable identifiers the destination accepts and how ambiguous matches are handled.
  • Field ownership: decide whether the CRM, the returned source or a reviewed manual value is authoritative.
  • Missing values: specify whether null means “leave unchanged” or a deliberate clearing action.
  • Conflicts: preserve the reviewed value and queue unresolved disagreements.
  • Suppression: keep recipient preferences and campaign exclusions separate from contact-field enrichment.

Salesforce supports upsert by an external ID when the object and field are configured for that approach. Choose the matching strategy from the destination's documentation; do not assume an email or phone is universally sufficient to identify a person.

Build the workflow in six observable steps

  1. Define the audience. Use supported filters and a count preview for an initial coverage check. Counts measure matching contact records, not unique companies.
  2. Retrieve a bounded page. Record the job, filter definition and pagination state without logging credentials.
  3. Persist the result. Keep the returned payload in appropriately restricted staging storage so downstream recovery does not require a new lookup.
  4. Transform and review. Apply verified field maps, identity checks, exclusions and validation rules.
  5. Write to the CRM. Record the destination IDs and each accepted or rejected update.
  6. Release the approved next action. Enrol only eligible records, then checkpoint and reconcile the job.

Use the CRM field mapping guide for the separate transformation task.

Five linked stages take a defined audience through bounded retrieval, saved responses, field review and reconciled CRM writes, with exceptions held aside.
Persist a successful source response before CRM processing so a failed write can recover without blindly repeating a billable lookup. Open the full-size infographic.

Choose the recovery action from the failure

Debug the stage that failed
FailureFirst checkRecovery decision
Authentication or credit errorKey configuration, permissions and the relevant balanceCorrect the cause; do not repeatedly replay the request
Empty or unexpected audienceSupported fields, title variants and location meaningReview the query using the filter diagnostic workflow
Missing or incompatible fieldsThe actual response and destination property typesFix the map or review the exception; do not invent a value
Duplicate CRM recordsMatching keys and the recorded destination IDsRepair identity handling before processing more records
Timeout with an uncertain outcomeStored responses, destination state and job logsReconcile before repeating an operation that may be billable

Follow documented retry guidance for recoverable errors and respect any response guidance from each provider. A client-side job ID or idempotent CRM write does not create a provider-side idempotency guarantee for lead retrieval.

Test the handoff before scaling

Start with fixture-based mapping tests, then a deliberately small live job. Check null values, missing names, duplicate identities, rejected writes, exhausted budgets and interrupted processing.

Track retrieved records, accepted updates, exceptions and actual billed usage separately. Retrieval time is not evidence that the contact details were freshly re-verified. Review email quality and applicable outreach requirements before campaign activation.

When the bounded workflow behaves as intended, use the documented API operations to expand the job under explicit limits and ownership.

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