Pricing

Aggregate media content automatically with Zyte and Swiftask

Swiftask orchestrates web data extraction via Zyte API. Centralize your media sources, analyze trends, and save valuable time.

Result:

Turn web noise into structured intelligence, automatically and without technical maintenance.

The complexity of media data aggregation

Collecting media data at scale is a challenge. Between bot protections, changing website structures, and massive information volume, teams waste hours maintaining fragile scrapers instead of analyzing content.

Main negative impacts:

Frequent blocking: Anti-bot protections prevent data access. Your data pipelines break, creating gaps in your monitoring.
High maintenance costs: Spending time fixing extraction scripts is a net productivity loss for your engineering team.
Unstructured data: Retrieving content is one thing, making it actionable is another. Manual cleaning is time-consuming.

Swiftask combines the power of Zyte API to bypass technical obstacles with Swiftask AI to structure, clean, and aggregate your media content in real time.

BEFORE / AFTER

What changes with Swiftask

Without Swiftask + Zyte

You manage dozens of custom scrapers. Every structure change on a media site breaks your pipeline. You spend 30% of your time debugging and managing proxies.

With Swiftask + Zyte

You configure your sources in Swiftask. Zyte handles robust extraction. Swiftask analyzes, extracts key entities, and sends structured content directly to your database or analysis tool.

Setting up your aggregation pipeline in 4 steps

STEP 1 : Define your media sources

Specify the URLs or feeds you want to monitor within the intuitive Swiftask interface.

STEP 2 : Configure Zyte integration

Connect your Zyte API key to benefit from their high-performance, anti-blocking extraction infrastructure.

STEP 3 : Define AI structuring rules

Tell your Swiftask agent which elements to extract: titles, dates, authors, body text, sentiment, keywords.

STEP 4 : Automate the data flow

Activate the agent to aggregate data and send it automatically to your CRM, database, or reporting tool.

Advanced aggregation capabilities

The agent processes raw data extracted by Zyte to extract semantic value. It normalizes formats and automatically removes duplicates.

Target connector: The agent performs the right actions in zyte api based on event context.
Automated actions: Multi-source extraction. Automatic HTML cleaning. Sentiment analysis on aggregated content. Automatic classification by theme. Export to third-party APIs or SQL databases.
Native governance: The Zyte + Swiftask combo ensures maximum robustness, even against the most protected media sites.

Each action is contextualized and executed automatically at the right time.

Each Swiftask agent uses a dedicated identity (e.g. agent-zyte-api@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 advantages for your monitoring

1. Zero technical maintenance

Zyte handles website changes. You no longer need to fix your scrapers.

2. Data reliability

Benefit from unmatched extraction success rates, ensuring uninterrupted monitoring.

3. Operational time saving

Your team focuses on analysis and strategy, not technical collection.

4. Ready-to-use data

Content is immediately structured and enriched by AI, facilitating integration.

5. Unlimited scalability

Scale from a few sources to thousands without changing your infrastructure.

Security and compliance

Swiftask applies enterprise-grade security standards for your zyte api automations.

Secure API management: Your Zyte credentials are encrypted and stored securely within Swiftask.
Web standard compliance: Zyte follows best crawling practices to ensure total ethics and legality.
Audit and logs: Every extraction execution is tracked and logged for total transparency.
Data isolation: Your extracted data is isolated and processed solely for your use.

To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.

RESULTS

Impact on your efficiency

Metric	Before	After
Scraper maintenance time	10h+ / week	0h
Extraction success rate	Variable (60-80%)	99%+ (guaranteed by Zyte)
Data access delay	Several hours	Real-time
Operational cost	High (engineering)	Reduced (SaaS)

Take action with zyte api

Turn web noise into structured intelligence, automatically and without technical maintenance.

Generate qualified leads automatically with Zyte API

Next use case