Swiftask connects ScrapingBot to your sales stack. Transform raw web data into a list of qualified prospects, ready for your sales team.
Result:
Stop wasting time on obsolete databases. Focus your efforts on high-potential leads.
AI Agents
scrapingbot
Connector scrapingbot · Secure OAuth 2.0
Manual web prospecting is slow, repetitive, and often inaccurate. Your sales team spends hours copy-pasting data instead of selling. The result: unqualified leads, longer sales cycles, and sales team burnout.
Main negative impacts:
Outdated contact data
Manually extracted information quickly loses value. Low accuracy directly hurts your conversion rates.
Operational time sink
Manual scraping and data cleaning consume precious time that should be dedicated to direct customer interactions.
Lack of real qualification
Extracting a list doesn't mean identifying a need. Without AI analysis, you contact prospects without understanding their buying intent.
Swiftask automates extraction via ScrapingBot and uses its AI agents to analyze, qualify, and enrich your leads in real-time before pushing them to your CRM.
BEFORE / AFTER
Without Swiftask
A sales rep manually searches for companies on LinkedIn or directories. They copy emails, verify them, then enter them into the CRM. The process is slow and prone to human error.
With Swiftask + ScrapingBot
ScrapingBot extracts targeted data continuously. Swiftask analyzes this data, verifies relevance, enriches the prospect profile, and automatically creates the record in your CRM with a priority score.
1
STEP 1 : Define your targets in ScrapingBot
Configure ScrapingBot to target data sources specific to your industry (directories, specialized sites, social networks).
2
STEP 2 : Connect the source to Swiftask
Integrate the extracted data into Swiftask. Our AI agent receives raw data for immediate processing.
3
STEP 3 : Configure AI qualification criteria
Define the rules of your 'Ideal Customer Profile' (ICP). The AI analyzes the data and rejects non-relevant leads.
4
STEP 4 : Automatic CRM synchronization
Qualified leads are automatically exported to your CRM (Salesforce, HubSpot, etc.) with all enriched information.
The AI agent analyzes company context, size, industry, and weak signals (funding, hiring, new technologies) to qualify the lead.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-scrapingbot@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.
By contacting only leads qualified by AI, your sales team significantly increases their success rate.
Free your team from administrative data entry tasks so they can focus on selling.
Automation allows for constant updates of your prospect lists without manual intervention.
Generated leads meet criteria defined by both teams, eliminating friction.
Scale from 10 to 10,000 leads per month without increasing your prospecting team.
Swiftask applies enterprise-grade security standards for your scrapingbot automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Qualification time | Several days per week | A few minutes per day |
| Lead volume | Limited by workforce | Unlimited and automated |
| Lead quality | Variable and imprecise | Standardized and qualified |
| Acquisition cost | High (human time) | Drastically reduced |
Stop wasting time on obsolete databases. Focus your efforts on high-potential leads.