Pricing

Extract structured data from any website with Swiftask

The Swiftask and Jina Reader integration transforms complex web content into clean, ready-to-use data for your business tools.

Result:

Stop manual copy-pasting. Automate your data collection effortlessly.

Web data collection is a constant technical challenge

The web is full of valuable information, but extracting it is often complex. Between changing HTML structures, intensive JavaScript, and the need for data cleaning, teams spend too much time manually structuring disparate information.

Main negative impacts:

Operational time loss: Manual data cleaning and structuring take hours, slowing down your decision-making cycles.
Unreliable data: Manual extraction is prone to human error, compromising the quality of your analyses.
Technical complexity: Building custom scrapers requires expensive development skills and constant maintenance.

Swiftask, paired with Jina Reader, turns any URL into structured data (JSON/CSV) via intelligent AI. You get actionable insights immediately without writing a line of code.

BEFORE / AFTER

What changes with Swiftask

Before automation

You manually browse dozens of web pages to extract prices, articles, or contacts. You copy this information into a spreadsheet, clean it, and then import it into your CRM.

With Swiftask + Jina Reader

You provide a list of URLs to Swiftask. Jina Reader reads and purifies the content, and the AI agent extracts only the fields you need, directly into your target format.

4 steps to automate your data extraction

STEP 1 : Define your target

Identify the web sources and specific data points you want to extract.

STEP 2 : Configure the Swiftask agent

Create a dedicated agent and enable the Jina Reader connector for page reading.

STEP 3 : Set the output schema

Tell the AI the expected structure (e.g., JSON with 'title', 'price', 'date' fields).

STEP 4 : Launch the workflow

Activate the agent to process URLs in real-time or on a set schedule.

Advanced extraction capabilities

The AI analyzes the semantic context of the page to keep only relevant information, ignoring ads and unnecessary elements.

Target connector: The agent performs the right actions in jina reader based on event context.
Automated actions: Raw text extraction, HTML to JSON conversion, table parsing, named entity recognition, output data cleaning.
Native governance: Swiftask ensures data structure validation before sending it to your systems.

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

Each Swiftask agent uses a dedicated identity (e.g. agent-jina-reader@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.

Why choose Swiftask for your extractions

1. Execution speed

Retrieve thousands of data points in minutes.

2. Increased precision

AI ensures consistent extraction, even if site structures change.

3. Seamless integration

Your structured data is ready for your CRM, databases, or BI tools.

4. No-code solution

No technical expertise required to set up complex workflows.

5. Scalability

Manage a growing volume of sources without increasing headcount.

Security and compliance

Swiftask applies enterprise-grade security standards for your jina reader automations.

Responsible extraction: Adherence to web reading standards and data policies.
Data encryption: All extracted data is encrypted during processing.
Audit log: Full traceability of processed URLs and extracted data.

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

RESULTS

Impact on your productivity

Metric	Before	After
Processing time	Several hours	A few seconds
Error rate	High (manual)	Near zero (AI)
Cost per row	High human cost	Reduced automated cost

Take action with jina reader

Stop manual copy-pasting. Automate your data collection effortlessly.

Analyze web sentiment in real-time with Jina Reader and Swiftask

Next use case