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Sage Intacct has limited or partial API access, making it difficult to automate multi-entity accounting and reporting, and sync expense management data with general ledgers. Anchor Browser's intelligent browser automation provides a reliable solution to bypass API limitations, enabling automated data collection, multi-entity reporting, and expense synchronization directly through the web interface.
Table of Contents
- Introduction
- Why Use Browser Automation for Sage Intacct Data Export?
- Setting Up Sage Intacct Data Export Automation
- Use Case 1: Automate Multi-Entity Accounting and Reporting
- Use Case 2: Sync Expense Management Data with General Ledgers
- Exporting Financial Reports
- Collecting Transaction Data
- Generating Custom Reports
- Best Practices for Sage Intacct Automation
- Handling Authentication
- Resources
- Conclusion
Introduction
Sage Intacct is a leading cloud-based financial management system designed for mid-market companies, offering multi-entity accounting, reporting, and financial management. While Sage Intacct provides API access, browser automation offers a powerful solution for automating multi-entity accounting and reporting, syncing expense management data with general ledgers, and streamlining financial workflows when direct API access is limited or unavailable.
Why Use Browser Automation for Sage Intacct Data Export?
- Limited API Access: Sage Intacct has restricted API access for many complex operations and reporting functions
- Multi-Entity Management: Automate accounting and reporting across multiple business entities and subsidiaries
- Expense Integration: Sync expense management data with general ledgers for accurate reporting
- Dashboard-Only Features: Some advanced analytics and reporting tools are only available through the web interface
- Historical Data: Easier access to older financial periods and reports beyond API limits
- Real-Time Sync: Automate real-time synchronization of expenses and accounting data
- Bulk Operations: Process large volumes of financial data for reporting and analysis
Setting Up Sage Intacct Data Export Automation
Here's how to automate data collection from Sage Intacct using browser automation:
import { chromium } from 'playwright';
const response = await fetch("https://api.anchorbrowser.io/api/sessions", {
method: "POST",
headers: {
"anchor-api-key": "YOUR_API_KEY",
"Content-Type": "application/json",
},
body: JSON.stringify({
'headless': false,
'proxy': {
'type': 'residential',
'country': 'US'
}
}),
});
const { id } = await response.json();
const connectionString = `wss://connect.anchorbrowser.io?apiKey=YOUR_API_KEY&sessionId=${id}`;
const browser = await chromium.connectOverCDP(connectionString);
const context = browser.contexts()[0];
const ai = context.serviceWorkers()[0];
const page = context.pages()[0];
// Navigate to Sage Intacct
await page.goto("https://www.sageintacct.com");
// Login with AI agent
await ai.evaluate(JSON.stringify({
prompt: 'Log in to Sage Intacct using the provided credentials. Wait for the dashboard to fully load.'
}));
Use Case 1: Automate Multi-Entity Accounting and Reporting
Automate accounting and reporting across multiple business entities and subsidiaries:
const automateMultiEntityAccounting = async (page, ai, accountingCriteria) => {
// Navigate to reporting module
await ai.evaluate(JSON.stringify({
prompt: 'Navigate to the Reporting or Financial Reports module in Sage Intacct'
}));
// Set multi-entity parameters
await ai.evaluate(JSON.stringify({
prompt: `Set reporting parameters: entities ${accountingCriteria.entities.join(', ')}, date range ${accountingCriteria.startDate} to ${accountingCriteria.endDate}, report type ${accountingCriteria.reportType}`
}));
// Execute multi-entity report
await ai.evaluate(JSON.stringify({
prompt: 'Run multi-entity report and wait for results to load'
}));
// Wait for results
await page.waitForLoadState('networkidle');
// Extract accounting data
const accountingData = await ai.evaluate(JSON.stringify({
prompt: 'Extract multi-entity accounting data including: entity names, account codes, account names, amounts by entity, consolidated totals, intercompany eliminations, currency conversions, and consolidation adjustments. Return as structured JSON array.'
}));
// Export multi-entity report
await ai.evaluate(JSON.stringify({
prompt: 'Export multi-entity report as Excel or CSV, including all entities and consolidated totals'
}));
const download = await page.waitForEvent('download');
const path = await download.path();
return {
accounting: JSON.parse(accountingData),
exportPath: path,
reportDate: new Date().toISOString()
};
};
Use Case 2: Sync Expense Management Data with General Ledgers
Automate the synchronization of expense management data with general ledgers for accurate reporting:
const syncExpenseManagement = async (page, ai, expenseCriteria) => {
const expenseUpdates = [];
// Navigate to expenses section
await ai.evaluate(JSON.stringify({
prompt: 'Navigate to the Expenses or Expense Reports section in Sage Intacct'
}));
// Set expense filters
await ai.evaluate(JSON.stringify({
prompt: `Set filters: date range ${expenseCriteria.startDate} to ${expenseCriteria.endDate}, expense status ${expenseCriteria.status || 'approved'}, entity ${expenseCriteria.entity || 'all'}`
}));
// Execute search
await ai.evaluate(JSON.stringify({
prompt: 'Click Search or Filter and wait for results to load'
}));
// Wait for results
await page.waitForLoadState('networkidle');
// Extract expense data
const expenseData = await ai.evaluate(JSON.stringify({
prompt: 'Extract expense data including: expense report number, employee name, expense date, expense type, amount, GL account, department, project, approval status, and payment status. Return as structured JSON array.'
}));
const expenses = JSON.parse(expenseData);
// Sync each expense with general ledger
for (const expense of expenses) {
// Get expense details
await ai.evaluate(JSON.stringify({
prompt: `Open expense report ${expense.reportNumber} to view full details`
}));
// Extract full expense information
const expenseDetails = await ai.evaluate(JSON.stringify({
prompt: 'Extract full expense details including: expense report number, employee information, expense items (date, type, amount, description), GL account distributions, department allocations, project codes, approval workflow, and payment details. Return as structured JSON data.'
}));
const expenseDetailsData = JSON.parse(expenseDetails);
expenseUpdates.push({
reportNumber: expense.reportNumber,
employee: expense.employeeName,
totalAmount: expense.totalAmount,
GLAccount: expense.glAccount,
expenseData: expenseDetailsData,
lastSynced: new Date().toISOString()
});
// Sync with general ledger (example: create journal entries)
if (expenseDetailsData.approvalStatus === 'approved') {
console.log(`Expense report ${expense.reportNumber} approved - ready for GL sync`);
// Add integration logic here to create journal entries in general ledger
}
// Small delay between expenses
await page.waitForTimeout(1000);
}
return expenseUpdates;
};
Exporting Financial Reports
Export financial reports and accounting data:
const exportFinancialReports = async (page, ai, reportType, dateRange) => {
await ai.evaluate(JSON.stringify({
prompt: 'Navigate to Reports or Financial Reports section'
}));
// Set report parameters
await ai.evaluate(JSON.stringify({
prompt: `Run ${reportType} report for date range ${dateRange.start} to ${dateRange.end}`
}));
// Export report
await ai.evaluate(JSON.stringify({
prompt: 'Export report as Excel or PDF and wait for download to complete'
}));
const download = await page.waitForEvent('download');
return await download.path();
};
Collecting Transaction Data
Extract transaction and accounting data for analysis:
const collectTransactionData = async (page, ai, criteria) => {
await ai.evaluate(JSON.stringify({
prompt: `Navigate to transactions and set filters: transaction type ${criteria.type}, date range ${criteria.startDate} to ${criteria.endDate}, entity ${criteria.entity || 'all'}`
}));
// Extract transaction data
const transactions = await ai.evaluate(JSON.stringify({
prompt: 'Extract transaction data including: transaction number, date, type, entity, account, amount, currency, reference, department, and description. Return as structured JSON array.'
}));
return JSON.parse(transactions);
};
Generating Custom Reports
Create custom reports with specific filters and criteria:
const generateCustomReport = async (page, ai, reportConfig) => {
await ai.evaluate(JSON.stringify({
prompt: 'Navigate to Custom Reports or Report Designer'
}));
// Configure report
await ai.evaluate(JSON.stringify({
prompt: `Create custom report: report type ${reportConfig.type}, criteria ${JSON.stringify(reportConfig.criteria)}, fields ${JSON.stringify(reportConfig.fields)}, date range ${reportConfig.startDate} to ${reportConfig.endDate}`
}));
// Execute and export
await ai.evaluate(JSON.stringify({
prompt: 'Execute report, wait for results, then export as Excel or CSV'
}));
const download = await page.waitForEvent('download');
return await download.path();
};
Best Practices for Sage Intacct Automation
- Security: Use secure credential storage and enable 2FA handling for Sage Intacct system access
- Rate Limiting: Add delays between requests to avoid overwhelming the system and account restrictions
- Data Validation: Verify exported data completeness and accuracy before processing, especially for multi-entity reporting
- Error Handling: Implement retry logic for transient failures and network issues
- Transaction Safety: Ensure all data extraction is read-only and doesn't modify system data
- Multi-Entity Handling: Verify intercompany eliminations and currency conversions in multi-entity reports
- Expense Sync: Coordinate expense syncs with financial closing cycles
- Compliance: Ensure all data handling meets mid-market security and compliance requirements
- Regular Updates: Monitor for changes in Sage Intacct's interface and update scripts accordingly
Handling Authentication
Sage Intacct may require multi-factor authentication. Here's how to handle it:
const handleSageIntacctAuth = async (page, ai, credentials) => {
// Navigate to login
await page.goto("https://www.sageintacct.com");
// Enter credentials
await ai.evaluate(JSON.stringify({
prompt: `Enter company ID ${credentials.companyId}, user ID ${credentials.userId} and password, then click Login`
}));
// Handle 2FA if required
await ai.evaluate(JSON.stringify({
prompt: 'If a 2FA prompt appears, wait for the code to be provided and enter it'
}));
// Wait for dashboard
await page.waitForLoadState('networkidle');
};
Resources
- Anchor Browser Documentation - Complete API reference and guides
- Anchor Browser Playground - Try browser automation in your browser
Conclusion
Browser automation provides a flexible alternative to API access for Sage Intacct data export. By leveraging intelligent browser agents, you can automate multi-entity accounting and reporting, sync expense management data with general ledgers, and streamline financial workflows that aren't easily achievable through API calls alone. Whether you need to manage multi-entity accounting, synchronize expenses with GL, or generate custom reports, browser automation enables efficient data management from Sage Intacct while maintaining mid-market security and compliance.
Start automating your Sage Intacct workflows today and streamline your financial management processes!