Swiftask orchestrates your Bright Data streams to identify, filter, and validate your prospects. Turn raw data into sales-ready opportunities.
Result:
Accelerate your sales pipeline by eliminating manual research and qualification work.
AI Agents
bright data
Connector bright data · Secure OAuth 2.0
Lead collection and qualification are time-consuming tasks. Your sales teams spend too much time searching the web and verifying prospect relevance instead of selling.
Main negative impacts:
Outdated or inaccurate data
Using unreliable sources leads to low-quality databases that degrade your conversion rates.
High operational costs
The time SDRs spend manually qualifying each lead represents a major opportunity cost for your business.
Slow sales reactivity
The delay between identifying a lead and qualifying it allows your competitors to gain an edge.
Swiftask automates the end-to-end pipeline: Bright Data extracts target data, and your Swiftask AI agent analyzes, enriches, and qualifies it according to your business criteria.
BEFORE / AFTER
Traditional prospecting
A salesperson manually searches LinkedIn or directories. They copy data into Excel, check if the prospect matches criteria, then add to the CRM. A slow, error-prone, and hard-to-scale process.
Swiftask + Bright Data
Your AI agent automatically triggers a Bright Data extraction based on your criteria. It analyzes results, removes unqualified leads, enriches profiles, and pushes qualified leads directly into your CRM, ready for the sales team.
1
STEP 1 : Define your ideal lead profile
Configure qualification rules in Swiftask. What are the buying signals? Which industry? What job title?
2
STEP 2 : Connect sources via Bright Data
Use Bright Data datasets or web scrapers to target relevant data sources legally.
3
STEP 3 : Let the AI agent filter
The Swiftask AI agent processes incoming data, checks consistency, and discards leads that don't match your ICP.
4
STEP 4 : Integrate with your CRM
Qualified leads are automatically pushed to your CRM (Salesforce, HubSpot, etc.) with all necessary information.
Your AI agent analyzes data extracted by Bright Data: company history, recent news, profile relevance to your offer.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-bright-data@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.
AI eliminates false positives that classic scraping methods miss.
Go from 10 to 10,000 leads per month without increasing your headcount.
Automate updates so you never reach out with stale information.
Your salespeople only handle qualified leads, mechanically increasing their closing rate.
Bright Data ensures an ethical and robust approach to web data extraction.
Swiftask applies enterprise-grade security standards for your bright data automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Cost per qualified lead | High (human time) | Reduced by 70% |
| Lead volume | Limited by time | Massive and consistent |
| Conversion rate | Standard | Significant increase |
| Qualification time | Several minutes/lead | Real-time (automated) |
Accelerate your sales pipeline by eliminating manual research and qualification work.