How to Clean CRM Leads with the ProWebLook API

Most CRMs do not fail because teams lack leads.

They fail because too many leads are incomplete, duplicated, outdated, unreachable, or routed to the wrong channel.

A sales rep opens a lead and sees three phone fields. Marketing exports a campaign segment and finds missing country codes. Operations imports an old CSV and creates duplicates. A WhatsApp campaign is planned, but nobody knows which contacts are actually reachable on WhatsApp. Email automation starts, but some addresses are stale or invalid.

This is not just a data problem. It becomes a revenue problem.

Clean CRM data helps teams answer simple but important questions:

• Is this contact real enough to work?
• Which channel should we use first?
• Is the phone number valid?
• Is the contact reachable on WhatsApp?
• Does this email address look deliverable?
• Has the contact opted in or opted out?
• When was this data last checked?

The ProWebLook API can help turn messy lead records into structured, usable contact intelligence. This guide shows a practical workflow for cleaning CRM leads with phone validation, WhatsApp validation, email verification, and clear routing fields.

What “clean CRM leads” actually means

Clean CRM data is not perfect data. It is data that is accurate enough, complete enough, and current enough to support the next business action.

For a lead record, that means:

Salesforce describes data quality in terms such as accuracy, completeness, consistency, reliability, validity, timeliness, uniqueness, and integrity. In CRM workflows, those ideas become very practical. A phone number without a country code is hard to route. A duplicate lead can split activity history. A WhatsApp campaign list without WhatsApp reachability data is guessing.

Where ProWebLook fits in a CRM cleanup workflow

ProWebLook provides APIs for:

• Phone number verification
• WhatsApp number validation
• Email verification
• Caller identification
• IP geolocation
• Social scraping and other enrichment workflows

For CRM lead cleaning, the most common starting stack is:

1. Phone Number Validator API
2. WhatsApp Number Checker API
3. Email Verifier API

Together, these can help you decide:

• Is the phone number valid?
• Is it mobile, landline, or VoIP?
• Which country or carrier is associated with it?
• Is the number registered on WhatsApp?
• Is the email address usable enough for email outreach?
• Which channel should your CRM try first?

Step 1: Export or capture the leads

Start with a clear input format.

If you are cleaning an existing CRM list, export contacts with at least:

• Contact ID
• First name
• Last name
• Company
• Email
• Phone
• Country
• Lifecycle stage
• Lead source
• Opt-in fields
• Opt-out fields
• Last contacted date

If you are validating leads at the point of capture, collect:

• Name
• Email
• Phone number
• Country or country code
• Consent checkbox or communication preference
• Source URL or campaign ID

The CRM contact ID is important. It lets you sync enriched fields back to the right record without creating duplicates.

Example input:

crm_id,first_name,last_name,email,phone,country,whatsapp_opt_in,lead_source
10291,Asha,Mehta,asha@example.com,+919876543210,IN,true,webinar
10292,Daniel,Price,daniel@example.org,4155552671,US,false,lead_form
10293,Sofia,Garcia,sofia@example.net,+34911222333,ES,true,csv_import

Step 2: Normalize phone numbers

Before calling any API, normalize as much as possible.

Phone numbers should be stored in international format, usually E.164-style formatting. The ITU E.164 recommendation defines the international public telecommunication numbering plan, and libraries like Google’s libphonenumber are commonly used to parse and format numbers.

Normalization should handle:

• Spaces
• Hyphens
• Parentheses
• Local leading zeroes
• Missing country codes
• Country-specific formatting

Bad example:

(415) 555-2671

Better stored value:

+14155552671

If the country is missing and the number is not already international, do not guess silently. Use the CRM country field, signup country, IP country, or ask for correction.

Step 3: Validate the phone number

Phone validation should answer:

• Is this number valid?
• What country does it belong to?
• What line type is it?
• Which carrier or region is associated with it, if available?

With ProWebLook’s Phone Number Validator API, a request can follow this pattern:

curl -X GET "https://proweblook.com/api/v1/checkapi?api_key=YOUR_API_KEY&number=+14155552671"

Example response shape:

{
  "valid": true,
  "number": "+14155552671",
  "country": "United States",
  "line_type": "mobile",
  "carrier": "AT&T Mobility",
  "location": "San Francisco"
}

Map that result into CRM fields:

If phone_valid is false, do not send the lead to a WhatsApp campaign or phone-based workflow. Mark it for cleanup.

Step 4: Check WhatsApp reachability

Once the phone number is normalized and valid, check whether it is registered on WhatsApp.

ProWebLook’s WhatsApp Number Checker API checks WhatsApp presence and can return business account signals. The public ProWebLook page describes real-time WhatsApp verification across 180+ countries and business account detection.

Single-number request:

curl -X GET "https://proweblook.com/api/v1/checkwanumber?api_key=YOUR_API_KEY&number=+14155552671"

Example response shape:

{
  "status": true,
  "number": "+14155552671",
  "whatsapp": true,
  "response_time": "142ms"
}

Map the result:

Keep this separate from opt-in.

WhatsApp reachability means the number appears usable on WhatsApp. It does not mean the contact gave permission to receive messages. Meta’s WhatsApp Business Messaging Policy says businesses should contact people on WhatsApp only when they have the person’s mobile number and opt-in permission.

Recommended CRM logic:

whatsapp_registered = true
AND whatsapp_opt_in = true
AND opted_out = false
= eligible_for_whatsapp_campaign

Step 5: Verify email addresses

Many CRM leads have both phone and email. If WhatsApp is not available, email may be the fallback channel.

Use email verification to reduce invalid addresses before your email automation runs.

ProWebLook’s Email Verifier API pattern from the local API reference is:

curl -X GET "https://proweblook.com/api/v1/checkemail?api_key=YOUR_API_KEY&email=person@example.com"

Store fields such as:

Do not over-delete contacts based on a single uncertain email result. Use statuses such as:

• Valid
• Invalid
• Risky
• Unknown
• Retry needed

That makes your cleanup workflow safer.

Step 6: Deduplicate before updating CRM records

Validation enriches records, but it does not automatically solve duplicates.

Before writing results back, check for likely duplicates using:

• Email
• Normalized phone number
• Company domain
• CRM record ID
• External source ID
• Name and company match

HubSpot’s documentation notes that contacts are commonly deduplicated by email address, and that record IDs or unique custom properties can be used during imports. In practical CRM cleanup, this means you should avoid creating a new contact just because validation returned enriched data.

Recommended rule:

Never create a new CRM contact during cleanup unless no matching CRM ID, email, or normalized phone exists.

Instead, update existing records with new validation fields.

Step 7: Create a channel decision field

This is the field that makes the cleanup useful for marketing and sales teams.

Create a field like preferred_outreach_channel.

Example values:

• whatsapp
• email
• phone_call
• manual_review
• do_not_contact
• data_cleanup

Then use validation results to set the value.

Example decision logic:

This turns raw API results into an operational decision.

Step 8: Sync fields back to your CRM

Once validation is complete, update the CRM record.

Do not overwrite important human-entered fields unless you are confident. Instead, add structured enrichment fields.

Recommended fields:

{
  "phone_e164": "+14155552671",
  "phone_valid": true,
  "phone_country": "United States",
  "phone_line_type": "mobile",
  "phone_carrier": "AT&T Mobility",
  "whatsapp_registered": true,
  "whatsapp_business": false,
  "email_valid": true,
  "preferred_outreach_channel": "whatsapp",
  "last_contact_validation_at": "2026-05-17T10:05:00Z"
}

Keep the original raw phone and email fields if they are useful for audit history, but make the normalized fields the source for automation.

Example: end-to-end CRM cleanup script

Here is a simplified Node.js example. In production, use batch APIs for large lists, add retries, log failures, and avoid printing API keys.

const axios = require("axios");

const API_KEY = process.env.PROWEBLOOK_API_KEY;

async function cleanLead(lead) {
  const phoneResult = await axios.get("https://proweblook.com/api/v1/checkapi", {
    params: {
      api_key: API_KEY,
      number: lead.phone
    }
  });

  const phoneValid = Boolean(phoneResult.data.valid);

  let whatsappRegistered = false;

  if (phoneValid) {
    const whatsappResult = await axios.get("https://proweblook.com/api/v1/checkwanumber", {
      params: {
        api_key: API_KEY,
        number: phoneResult.data.number || lead.phone
      }
    });

    whatsappRegistered = Boolean(whatsappResult.data.whatsapp);
  }

  let emailValid = null;

  if (lead.email) {
    const emailResult = await axios.get("https://proweblook.com/api/v1/checkemail", {
      params: {
        api_key: API_KEY,
        email: lead.email
      }
    });

    emailValid = Boolean(emailResult.data.valid || emailResult.data.status === true);
  }

  const optedOut = lead.global_opt_out === true;
  const canUseWhatsApp = whatsappRegistered && lead.whatsapp_opt_in === true && !optedOut;

  let preferredChannel = "manual_review";

  if (optedOut) {
    preferredChannel = "do_not_contact";
  } else if (canUseWhatsApp) {
    preferredChannel = "whatsapp";
  } else if (emailValid === true) {
    preferredChannel = "email";
  } else if (phoneValid) {
    preferredChannel = "phone_call";
  } else {
    preferredChannel = "data_cleanup";
  }

  return {
    crm_id: lead.crm_id,
    phone_e164: phoneResult.data.number || lead.phone,
    phone_valid: phoneValid,
    phone_country: phoneResult.data.country || null,
    phone_line_type: phoneResult.data.line_type || null,
    whatsapp_registered: whatsappRegistered,
    email_valid: emailValid,
    preferred_outreach_channel: preferredChannel,
    last_contact_validation_at: new Date().toISOString()
  };
}

This example does not include CRM-specific update calls because every CRM has its own API. The core idea is the same: enrich the record, calculate the channel decision, and write the clean fields back.

Bulk workflow for larger lead lists

For thousands of leads, use a batch workflow.

Recommended process:

1. Export leads from CRM.
2. Normalize phone numbers.
3. Deduplicate rows by CRM ID, email, and normalized phone.
4. Submit valid phone candidates to ProWebLook bulk WhatsApp validation.
5. Poll results by batch_id.
6. Validate email addresses.
7. Map API results into CRM fields.
8. Reimport or update records through the CRM API.
9. Build campaign segments from clean fields.

Batch workflows are better for high-volume imports because they avoid long-running one-by-one scripts and make retry handling easier.

How to segment cleaned leads

After cleanup, create these saved CRM views:

WhatsApp-ready leads

Criteria:

• phone_valid = true
• whatsapp_registered = true
• whatsapp_opt_in = true
• global_opt_out = false

Use this for WhatsApp campaigns and WhatsApp sales follow-up.

Email fallback leads

Criteria:

• email_valid = true
• preferred_outreach_channel = email

Use this when WhatsApp is unavailable or opt-in is missing.

Phone-call leads

Criteria:

• phone_valid = true
• phone_line_type is mobile or landline
• No valid email or WhatsApp campaign eligibility

Use this for call center or sales call workflows, based on your consent and local rules.

Data cleanup queue

Criteria:

• phone_valid = false
• email_valid = false
• Missing country code
• Duplicate detected
• Validation failed repeatedly

Send this group to operations, not campaigns.

Do-not-contact records

Criteria:

• Global opt-out
• WhatsApp opt-out
• Email unsubscribe
• Suppression list match

This view should override every campaign segment.

How often should you revalidate CRM leads?

Use different freshness windows for different types of contacts.

The goal is not to validate everything every day. The goal is to validate when the result affects a business action.

Common CRM cleanup mistakes

Mistake 1: Updating the wrong record

Always use CRM IDs when syncing results. Email and phone matches help dedupe, but CRM IDs are safer for updates.

Mistake 2: Mixing consent with validation

Keep whatsapp_registered and whatsapp_opt_in as separate fields. One is reachability, the other is permission.

Mistake 3: Deleting leads too aggressively

Invalid WhatsApp does not mean invalid lead. It may just mean email or phone call is the better channel.

Mistake 4: Not storing timestamps

Every validation field should have a checked_at timestamp. Old validation data should be treated differently from fresh validation data.

Mistake 5: Leaving results in spreadsheets

If the validation result does not return to the CRM, the team will repeat the same cleanup later.

A CRM cleanup checklist

• Export CRM ID with every record.
• Normalize phone numbers into international format.
• Keep raw input values for audit history.
• Run phone validation.
• Run WhatsApp validation for campaign-relevant contacts.
• Run email validation for email fallback.
• Store timestamps for every validation check.
• Keep consent and opt-out fields separate.
• Deduplicate before writing updates.
• Create a preferred channel field.
• Build saved views for WhatsApp-ready, email fallback, cleanup, and do-not-contact.
• Revalidate before major campaigns.

Final thought

CRM cleanup is not about making a spreadsheet look neat.

It is about helping your team decide what to do next.

The best cleanup workflows turn raw contact fields into clear action fields:

Can we contact this lead?
Which channel should we use?
Is this record fresh enough to trust?
Should this record go to sales, marketing, support, or cleanup?

That is where the ProWebLook API is useful. It helps convert messy phone numbers, WhatsApp uncertainty, and email risk into structured CRM fields your team can actually use.

Sources and further reading

• ProWebLook WhatsApp Number Checker
• ProWebLook Phone Number Validator API
• ProWebLook API documentation
• WhatsApp Business Messaging Policy
• ITU E.164 international numbering plan
• Google libphonenumber
• Salesforce guide to data quality
• HubSpot deduplication documentation
• Medium canonical link guidance

Suggested CTA

Ready to clean your CRM leads before the next campaign? Start with ProWebLook’s Phone Number Validator and WhatsApp Number Checker APIs, then sync validation fields back into your CRM before your sales or marketing team begins outreach.