Track your market share in real-time with ScrapingBot and Swiftask
Swiftask orchestrates web data extraction via ScrapingBot to monitor your competitors. Turn web noise into actionable strategic insights.
Result:
Save significant time on competitive intelligence and react faster to your competitors' moves.
AI Agents
scrapingbot
Connector scrapingbot · Secure OAuth 2.0
Manual competitive intelligence is obsolete
Tracking market share online requires massive data collection. Doing this manually is impossible: data changes too fast, volumes are too high, and human error is inevitable.
Main negative impacts:
Decisions based on stale data
If your data is a week old, you are analyzing yesterday's market. Your strategy loses relevance and agility.
Excessive operational costs
Dedicating resources to manual price or volume collection is a waste of talent. Your analysts should be interpreting, not copy-pasting.
Fragmented market view
Without automation, you cannot cover all players. You miss crucial weak signals.
Swiftask automates the entire pipeline: ScrapingBot extracts raw data from target sites, and Swiftask processes it to automatically calculate your market share.
BEFORE / AFTER
What changes with Swiftask
Manual intelligence
An analyst spends their days browsing competitor sites, noting prices or sales volumes in a spreadsheet, then consolidating everything. The process is slow, repetitive, and error-prone.
Swiftask + ScrapingBot automation
ScrapingBot extracts data continuously from your target sites. Swiftask receives these feeds, cleans the data, calculates market share metrics, and alerts you as soon as a significant change is detected.
Set up your automated intelligence in 4 steps
1
STEP 1 : Define targets
List your competitors' websites and the key metrics to extract (prices, stock, sales volumes).
2
STEP 2 : Configure ScrapingBot
Set up ScrapingBot within Swiftask to target specific elements on each web page.
3
STEP 3 : AI processing flow
Create a Swiftask agent that normalizes incoming data and calculates your market share.
4
STEP 4 : Visualization and alerts
Receive automatic reports or Slack/Teams alerts as soon as a threshold is crossed.
Capabilities of your analysis agent
Your agent handles web data cleaning, currency conversion, period-based aggregation, and historical market share comparison.
- Target connector: The agent performs the right actions in scrapingbot based on event context.
- Automated actions: Scheduled extraction, heterogeneous data normalization, market share calculation, competitive anomaly detection, export to BI tools.
- Native governance: All transformation steps are logged in Swiftask to ensure transparency in calculations.
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
Fresh data continuously
No longer make decisions on stale data. Analyze the market in real time.
Unlimited scalability
Monitor 10 or 1000 competitors with the same ease. Automation does not bottleneck.
Increased accuracy
Eliminate the risk of human error in market share data entry and calculation.
Focus on analysis
Your teams focus on data interpretation and strategy, not collection.
Strategic agility
Instantly detect competitor promotions or launches and adjust your strategy.
Data reliability and compliance
Swiftask applies enterprise-grade security standards for your scrapingbot automations.
- Ethical extraction: ScrapingBot respects robots.txt files and crawl best practices for responsible intelligence.
- Data governance: Store and process your sensitive data on secure infrastructures with Swiftask.
- Audit and traceability: Keep a full history of all crawls and calculations performed for internal audits.
- Environment isolation: Each intelligence project is isolated, ensuring the confidentiality of your competitive strategies.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on your performance
| Metric | Before | After |
|---|---|---|
| Collection time | Several days/week | A few minutes (automated) |
| Update frequency | Monthly | Daily or real-time |
| Market coverage | Limited sample | Comprehensive and continuous |
| Data reliability | Risk of human error | Verified raw data |
Take action with scrapingbot
Save significant time on competitive intelligence and react faster to your competitors' moves.