Swiftask connects Browserflow to your workflow to transform web data extraction into structured, ready-to-use reports, with no code required.
Result:
Save hours of manual work every week by automating the collection and synthesis of your web data.
AI Agents
browserflow
Connector browserflow · Secure OAuth 2.0
Most companies waste precious time manually browsing sites, copying tables, and formatting data into Excel. This repetitive process is slow, prone to human error, and keeps your team from focusing on actual analysis.
Main negative impacts:
Operational time loss
Manual scraping consumes human resources that could be allocated to strategic tasks.
Outdated data
The time spent manually collecting makes data often obsolete by the time the report is finished.
Lack of reliability
Manual entry significantly increases the risk of data transfer errors.
Swiftask integrates natively with Browserflow to automate web data extraction and immediate report generation. Your data is collected, processed, and formatted automatically.
BEFORE / AFTER
The traditional method
An analyst spends two hours every morning browsing multiple websites, copying data, pasting it into a spreadsheet, and manually formatting a PDF or Excel report for their team.
The power of Swiftask + Browserflow
Browserflow extracts data in the background based on your rules. Swiftask receives this data, processes it with AI to generate a summary report, and sends it automatically to stakeholders.
1
STEP 1 : Configure your Browserflow script
Define the sites and data points you want to extract in Browserflow's intuitive interface.
2
STEP 2 : Connect Browserflow to Swiftask
Use webhooks to automatically send extracted data to your Swiftask agent.
3
STEP 3 : Define your generation rules
Teach your Swiftask agent how to transform this raw data into a structured and personalized report.
4
STEP 4 : Automate distribution
Schedule the generation frequency and choose your delivery channels: email, Slack, Teams, or cloud storage.
The Swiftask agent cleans, aggregates, and analyzes data extracted by Browserflow to produce actionable insights rather than just columns of numbers.
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.
Eliminate 100% of manual copy-paste tasks related to web monitoring.
Your reports are updated as soon as data becomes available on the web.
Automation without human error ensures the reliability of your reports.
Add new data sources without needing development skills.
Receive ready-to-use analyses for decision-making, not just raw data.
Swiftask applies enterprise-grade security standards for your browserflow automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Production time | Several hours/day | A few seconds/day |
| Data accuracy | Manual error risk | 100% extraction compliant |
| Deployment | Long IT project | Immediate setup |
Save hours of manual work every week by automating the collection and synthesis of your web data.