Pricing

Migrate your web data automatically with Swiftask and Browserflow

Swiftask orchestrates your data flows while Browserflow extracts your information from the web. A powerful duo to automate your complex migrations.

Result:

Save hundreds of hours of manual entry and eliminate human errors during your data transfers.

Manual web data migration is an operational bottleneck

Extracting information from web portals, cleaning it, and re-injecting it into your internal systems is a repetitive task that keeps your teams busy with low-value work. Manual processes are slow, error-prone, and impossible to scale.

Main negative impacts:

High risk of entry errors: Manual transfer between web interfaces and databases inevitably leads to inconsistencies and loss of data integrity.
Prohibitive operational costs: The time your employees spend copy-pasting data represents a major hidden cost for your organization.
Limited system agility: Your teams struggle to pivot or update databases quickly because migration processes are too rigid.

Swiftask automates the entire pipeline. Browserflow extracts source data with precision, Swiftask processes and formats it, and then injects it directly into your destination tools.

BEFORE / AFTER

What changes with Swiftask

The traditional manual workflow

A team member manually opens each source web page, copies data into a spreadsheet, cleans the formats, and imports the file into the target software. A long, repetitive procedure, often delayed due to lack of time.

The Swiftask + Browserflow intelligent automation

The Browserflow script runs on your schedule, extracts structured data, sends it to Swiftask which processes it via AI to normalize it, and syncs it instantly with your database or CRM.

4 steps to automate your web migrations

STEP 1 : Define your workflow in Browserflow

Configure extraction steps in Browserflow to target specific data on source websites.

STEP 2 : Connect Browserflow to Swiftask

Use webhooks to send extracted data directly to your dedicated Swiftask agent.

STEP 3 : Configure AI processing

Apply transformation and cleaning rules in Swiftask to ensure the quality of migrated data.

STEP 4 : Automate final injection

Swiftask sends cleaned data to your target application via API or native integration.

Advanced features for your migrations

Swiftask analyzes the schema of data received from Browserflow to ensure consistency with destination fields.

Target connector: The agent performs the right actions in browserflow based on event context.
Automated actions: Automatic data cleaning (date/currency formatting), intelligent field mapping, data validation before injection, error log management.
Native governance: Each step of the migration is logged, allowing for a complete audit for compliance needs.

Each action is contextualized and executed automatically at the right time.

Each Swiftask agent uses a dedicated identity (e.g. agent-browserflow@swiftask.ai ). You keep full visibility on every action and every sent message.

Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.

Why choose this duo for your data

1. Increased technical precision

Automation ensures that every data point is transferred without alteration.

2. Immediate productivity gains

Free your teams from data entry tasks to focus on analysis and strategy.

3. Unlimited scalability

Migrate thousands of rows of data as easily as a few units.

4. Configuration flexibility

Modify mapping or transformation rules in a few clicks with no code.

5. Seamless integration

Compatible with most information systems on the market.

Data security and integrity

Swiftask applies enterprise-grade security standards for your browserflow automations.

Encrypted flows: All data in transit between Browserflow and Swiftask is encrypted.
Strict access control: Access to migration pipelines is restricted via Swiftask roles.
GDPR compliance: Respectful management of personal data with automatic anonymization capabilities.
Detailed audit logs: Full traceability of every migrated data point for a seamless audit.

To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.

RESULTS

Measured impact on your efficiency

Metric	Before	After
Migration time	Several days	A few minutes
Error rate	5% to 10%	Near 0%
Data availability	Delayed	Real-time
Cost per migration	High (labor)	Low (automated)

Take action with browserflow

Save hundreds of hours of manual entry and eliminate human errors during your data transfers.