Stop wasting time browsing dozens of sites. Swiftask, combined with Scrapingdog, automates the collection and analysis of your news feeds.
Result:
Get relevant and actionable summaries, delivered directly to your workflow, without manual effort.
AI Agents
scrapingdog
Connector scrapingdog · Secure OAuth 2.0
Keeping up with industry news takes a massive amount of energy. Opening dozens of tabs, filtering noise, and synthesizing key points is a time-consuming task that distracts your team from their primary missions.
Main negative impacts:
Information overload
The volume of web content makes exhaustive manual monitoring impossible. You miss crucial insights.
Inconsistent formats
Every source presents information differently, making comparison and analysis tedious.
Limited reactivity
Time spent gathering info is time lost in reacting to market opportunities or threats.
Swiftask integrates with Scrapingdog to turn the web into a structured data stream. Our AI agents browse, extract, and analyze news for you, 24/7.
BEFORE / AFTER
Without Swiftask + Scrapingdog
You start your day with an hour of manual press review. You copy links, take notes, and try to draft a summary for your colleagues. The information is often obsolete before it is shared.
With Swiftask + Scrapingdog
Upon arrival, a synthesis report is already waiting. Your AI agents have scanned target sites via Scrapingdog, extracted relevant news, and drafted a structured summary based on your needs.
1
STEP 1 : Define your news sources
Identify the websites, news portals, or blogs you want to monitor within the Swiftask interface.
2
STEP 2 : Configure Scrapingdog for extraction
Use the Scrapingdog connector to cleanly extract text content from target pages without managing anti-bot blocks.
3
STEP 3 : Program the AI analysis agent
Designate a Swiftask agent to read extracted data, filter what matters, and draft a thematic summary.
4
STEP 4 : Automate distribution
Receive your personalized newsletter or alerts directly via email, Slack, or Teams as soon as the agent finishes its work.
AI analyzes sentiment, named entities (companies, people, products), and relevance to your strategic keywords.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-scrapingdog@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.
Reduce monitoring time from hours per week to minutes of reading.
Receive only the information that matters thanks to our AI agents' intelligent filtering.
Be the first to know about competitor moves thanks to continuous monitoring.
Add dozens of additional sources without increasing your workload.
Inject your aggregated feeds into your CRM, knowledge base, or internal communication tools.
Swiftask applies enterprise-grade security standards for your scrapingdog automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Time spent on monitoring | 5h+ per week | 15 min (reading only) |
| Number of sources tracked | Limited (5-10) | Unlimited (100+) |
| Freshness of info | Half-day delay | Real-time / near real-time |
Get relevant and actionable summaries, delivered directly to your workflow, without manual effort.