webflow-data-handling
Installation
SKILL.md
Webflow Data Handling
Overview
Handle sensitive data correctly when working with the Webflow Data API v2. Covers PII in form submissions, ecommerce customer data, CMS content classification, GDPR/CCPA compliance patterns, and data retention policies.
Prerequisites
- Understanding of GDPR/CCPA requirements
- Webflow API token with
forms:read,ecommerce:readscopes - Database for audit logging
- Scheduled job infrastructure for data cleanup
Webflow Data Classification
| Source | Data Type | PII Risk | Handling |
|---|---|---|---|
| Form submissions | Email, name, phone, message | High | Encrypt at rest, redact in logs |
| Ecommerce orders | Name, email, address, payment | High | Never log, minimal retention |
| CMS items | Blog posts, team bios, products | Low-Medium | May contain names/photos |
| Site analytics | Page views, sessions | Low | Aggregate when possible |
| API tokens | Access credentials | Critical | Never log, rotate quarterly |
Instructions
Step 1: PII Detection in Form Submissions
const PII_PATTERNS = [
{ type: "email", regex: /[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}/g },
{ type: "phone", regex: /\b\d{3}[-.]?\d{3}[-.]?\d{4}\b/g },
{ type: "ssn", regex: /\b\d{3}-\d{2}-\d{4}\b/g },
{ type: "credit_card", regex: /\b\d{4}[- ]?\d{4}[- ]?\d{4}[- ]?\d{4}\b/g },
];
function detectPII(text: string): Array<{ type: string; found: boolean }> {
return PII_PATTERNS.map(p => ({
type: p.type,
found: p.regex.test(text),
})).filter(r => r.found);
}
// Scan form submissions for PII before logging
async function processFormSubmission(formId: string) {
const { formSubmissions } = await webflow.forms.listSubmissions(formId);
for (const sub of formSubmissions || []) {
const rawData = JSON.stringify(sub.formData);
const piiFindings = detectPII(rawData);
if (piiFindings.length > 0) {
console.warn(`PII detected in submission ${sub.id}: ${piiFindings.map(f => f.type).join(", ")}`);
// Log redacted version only
console.log("Form data:", redactPII(sub.formData || {}));
}
}
}
Step 2: PII Redaction
function redactPII(data: Record<string, any>): Record<string, any> {
const sensitiveFields = new Set([
"email", "phone", "telephone", "mobile", "ssn",
"password", "credit-card", "card-number", "address",
"full-name", "first-name", "last-name",
]);
const redacted: Record<string, any> = {};
for (const [key, value] of Object.entries(data)) {
const normalizedKey = key.toLowerCase().replace(/[\s_]/g, "-");
if (sensitiveFields.has(normalizedKey)) {
redacted[key] = "[REDACTED]";
} else if (typeof value === "string") {
// Redact inline PII patterns
let cleaned = value;
for (const pattern of PII_PATTERNS) {
cleaned = cleaned.replace(pattern.regex, `[${pattern.type.toUpperCase()}_REDACTED]`);
}
redacted[key] = cleaned;
} else {
redacted[key] = value;
}
}
return redacted;
}
// Usage in logging
async function logFormData(formData: Record<string, any>) {
console.log("Form submission (redacted):", redactPII(formData));
}
Step 3: Ecommerce Data Handling
// Order data contains high-sensitivity PII
async function processOrder(siteId: string, orderId: string) {
const order = await webflow.orders.get(siteId, orderId);
// NEVER log full customer info
const safeOrderLog = {
orderId: order.orderId,
status: order.status,
itemCount: order.purchasedItems?.length,
totalCents: order.customerPaid?.value,
// Redact customer info
customer: {
hasEmail: !!order.customerInfo?.email,
hasAddress: !!order.shippingAddress,
// Never: order.customerInfo?.email
// Never: order.shippingAddress?.addressLine1
},
createdAt: order.acceptedOn,
};
console.log("Order processed:", safeOrderLog);
}
Step 4: GDPR — Data Subject Access Request (DSAR)
interface DataExport {
source: string;
exportedAt: string;
requestedBy: string;
data: {
formSubmissions: Array<{ formName: string; submittedAt: string; data: Record<string, any> }>;
orders: Array<{ orderId: string; status: string; total: number; items: string[] }>;
};
}
async function exportUserData(siteId: string, userEmail: string): Promise<DataExport> {
const exportData: DataExport = {
source: "Webflow",
exportedAt: new Date().toISOString(),
requestedBy: userEmail,
data: { formSubmissions: [], orders: [] },
};
// 1. Find form submissions by email
const { forms } = await webflow.forms.list(siteId);
for (const form of forms || []) {
const { formSubmissions } = await webflow.forms.listSubmissions(form.id!);
for (const sub of formSubmissions || []) {
const formData = sub.formData || {};
// Check all fields for matching email
const hasEmail = Object.values(formData).some(
v => typeof v === "string" && v.toLowerCase() === userEmail.toLowerCase()
);
if (hasEmail) {
exportData.data.formSubmissions.push({
formName: form.displayName!,
submittedAt: sub.submittedAt!,
data: formData,
});
}
}
}
// 2. Find orders by email
const { orders } = await webflow.orders.list(siteId);
for (const order of orders || []) {
if (order.customerInfo?.email?.toLowerCase() === userEmail.toLowerCase()) {
exportData.data.orders.push({
orderId: order.orderId!,
status: order.status!,
total: (order.customerPaid?.value || 0) / 100,
items: order.purchasedItems?.map(i => i.productName || "Unknown") || [],
});
}
}
return exportData;
}
Step 5: GDPR — Right to Deletion
async function deleteUserData(
siteId: string,
userEmail: string
): Promise<{ deleted: string[]; retained: string[] }> {
const result = { deleted: [] as string[], retained: [] as string[] };
// Note: Webflow API does not currently support deleting form submissions
// via API. You must delete them through the Webflow dashboard.
// However, you can delete your local copies:
// 1. Delete local form submission copies
await db.formSubmissions.deleteMany({ email: userEmail, source: "webflow" });
result.deleted.push("Local form submission copies");
// 2. Delete local order copies (keep anonymized for accounting)
await db.orders.updateMany(
{ email: userEmail, source: "webflow" },
{ $set: { email: "[DELETED]", name: "[DELETED]", address: "[DELETED]" } }
);
result.retained.push("Anonymized order records (legal requirement)");
// 3. Audit log (required — never delete audit logs)
await db.auditLog.insertOne({
action: "GDPR_DELETION",
email: userEmail,
service: "webflow",
timestamp: new Date(),
deletedSources: result.deleted,
retainedSources: result.retained,
});
result.retained.push("Audit log entry");
return result;
}
Step 6: Data Retention Policy
| Data Type | Retention | Reason | Auto-Cleanup |
|---|---|---|---|
| Form submissions | 90 days | Business need | Yes |
| Order records | 7 years | Tax/accounting | No |
| API call logs | 30 days | Debugging | Yes |
| Error logs | 90 days | Root cause analysis | Yes |
| Audit logs | 7 years | Compliance | No |
| Cached CMS content | 24 hours | Performance | Yes (TTL) |
async function cleanupExpiredData() {
const now = new Date();
// Delete form submissions older than 90 days
const formCutoff = new Date(now);
formCutoff.setDate(formCutoff.getDate() - 90);
await db.formSubmissions.deleteMany({
source: "webflow",
createdAt: { $lt: formCutoff },
type: { $nin: ["audit", "compliance"] },
});
// Delete API logs older than 30 days
const logCutoff = new Date(now);
logCutoff.setDate(logCutoff.getDate() - 30);
await db.apiLogs.deleteMany({
service: "webflow",
createdAt: { $lt: logCutoff },
});
console.log("Data cleanup completed");
}
// Schedule daily at 3 AM
// cron: "0 3 * * *"
Output
- PII detection for form submissions and order data
- Redaction layer for logging sensitive Webflow data
- GDPR DSAR export (forms + orders by email)
- Right to deletion with audit trail
- Data retention policy with automated cleanup
Error Handling
| Issue | Cause | Solution |
|---|---|---|
| PII in logs | Missing redaction wrapper | Wrap all logging with redactPII() |
| DSAR incomplete | Not scanning all forms | Iterate all forms in site |
| Deletion failed | No API for form deletion | Delete via Webflow dashboard |
| Audit gap | Missing log entries | Ensure audit logging in all deletion paths |
Resources
Next Steps
For enterprise access control, see webflow-enterprise-rbac.
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