• Pricing
Book a demo

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.

Manual competitive intelligence is obsolete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

STEP 1 : Define targets

List your competitors' websites and the key metrics to extract (prices, stock, sales volumes).

STEP 2 : Configure ScrapingBot

Set up ScrapingBot within Swiftask to target specific elements on each web page.

STEP 3 : AI processing flow

Create a Swiftask agent that normalizes incoming data and calculates your market share.

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

1. Fresh data continuously

No longer make decisions on stale data. Analyze the market in real time.

2. Unlimited scalability

Monitor 10 or 1000 competitors with the same ease. Automation does not bottleneck.

3. Increased accuracy

Eliminate the risk of human error in market share data entry and calculation.

4. Focus on analysis

Your teams focus on data interpretation and strategy, not collection.

5. 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

MetricBeforeAfter
Collection timeSeveral days/weekA few minutes (automated)
Update frequencyMonthlyDaily or real-time
Market coverageLimited sampleComprehensive and continuous
Data reliabilityRisk of human errorVerified raw data

Take action with scrapingbot

Save significant time on competitive intelligence and react faster to your competitors' moves.

Automate your financial report extraction with ScrapingBot

Next use case