Aggregate industry news automatically with ScrapingBot
Stop wasting time browsing dozens of sites. Swiftask and ScrapingBot extract and synthesize the news that really matters to your business.
Result:
Turn raw data streams into actionable insights, without the manual grunt work.
AI Agents
scrapingbot
Connector scrapingbot · Secure OAuth 2.0
Manual industry monitoring is a productivity black hole
Tracking market news requires visiting dozens of sources every day. This manual process is not only slow, but it's impossible to process information in real time. The risk is missing a major opportunity or a critical threat.
Main negative impacts:
Information overload
The volume of data exceeds human capacity. Teams end up ignoring subtle but crucial signals.
Limited reactivity
Time spent collecting information prevents rapid analysis. You are always a step behind.
Fragmented processes
Lack of centralization makes sharing knowledge within teams complex and error-prone.
Swiftask orchestrates ScrapingBot to automate collection from your target sources. Our AI agents filter, synthesize, and qualify this data to provide intelligent, relevant market monitoring.
BEFORE / AFTER
What changes with Swiftask
Traditional monitoring
An analyst spends 2 hours a day browsing websites, copying links, summarizing articles in a shared document. Important info is often drowned in noise.
AI-augmented monitoring
ScrapingBot extracts the latest posts from your sources. Swiftask analyzes the content, discards the irrelevant, and generates executive summaries sent straight to your messaging channel.
Deploy your monitoring system in 4 steps
1
STEP 1 : Define sources with ScrapingBot
Configure ScrapingBot to target specific websites, blogs, and news portals relevant to your industry.
2
STEP 2 : Connect to Swiftask
Integrate the data extracted by ScrapingBot into Swiftask to create a continuous stream of information.
3
STEP 3 : Set AI filtering parameters
Define keywords, topics, or sentiments your AI agent should monitor to prioritize news.
4
STEP 4 : Automated delivery
Receive daily summaries or urgent alerts directly in your collaborative tool.
Advanced aggregation features
The AI agent assesses the relevance of each article, extracts named entities, and summarizes key points for quick reading.
- Target connector: The agent performs the right actions in scrapingbot based on event context.
- Automated actions: Scheduled extraction, semantic filtering, automatic topic classification, personalized summary generation, real-time alerts.
- Native governance: All source articles are archived in your Swiftask database for easy future search.
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.
Strategic benefits for your business
Massive time savings
Automate 90% of the collection and preliminary reading work.
Increased precision
AI doesn't get tired and never misses information on your target keywords.
Team alignment
Everyone has access to the same qualified information at the same time.
Better decision-making
Base your strategic choices on comprehensive, processed intelligence.
Total adaptability
Change your sources or monitoring topics in just a few clicks.
Privacy and compliance
Swiftask applies enterprise-grade security standards for your scrapingbot automations.
- Ethical scraping management: Adherence to robots.txt and web extraction best practices.
- Data isolation: Your sources and summaries are siloed within your workspace.
- GDPR compliance: Secure processing of extracted data according to current standards.
- Full control: You choose exactly what data is extracted and how it is stored.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on your operational efficiency
| Metric | Before | After |
|---|---|---|
| Time spent on monitoring | 10h+ per week | Less than 1h (validation) |
| Volume of sources processed | 5 to 10 sites | Over 100 sources |
| Processing delay | Daily | Real-time |
| Information quality | Variable | Standardized and synthesized |
Take action with scrapingbot
Turn raw data streams into actionable insights, without the manual grunt work.