Web Data Extraction Automation with TinyFish

Automate web data extraction with TinyFish. A Jinba Flow workflow searches the web, renders JavaScript-heavy pages into clean Markdown or JSON, or sends an agent to gather structured data from a site.

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  1. Lookup requested A case needs data from a web system
  2. Agent gathers the data Navigates and reads the source for you
  3. Structure the result Map the page into your schema
  4. Validate against file Compare with what the case already holds
  5. Attach the evidence Result and screenshot stored

What you can do with TinyFish + Jinba

  • Where the Requests Go

    Jinba Flow runs on-premise or in a private cloud, while TinyFish search, fetch and agent steps call TinyFish's hosted service. Pass them only the queries, URLs and goals they need.

  • Auditable Deterministic Execution

    Jinba's 80% rule-based architecture wraps TinyFish AI capabilities in deterministic workflows that produce consistent, auditable outputs, meeting the compliance requirements of banks, insurance companies, and other regulated enterprises.

  • Team-Wide Workflow Governance

    Workflows built with TinyFish in Jinba Flow are shared across operations teams with role-based permissions, SSO, and Active Directory integration, ensuring only authorized staff execute approved automations.

  • Rapid Workflow Creation and Deployment

    Use Jinba's chat-to-flow generation and visual editor to build TinyFish-powered workflows in days, then publish them as APIs, batch processes, or MCP servers for team-wide reuse across departments.

How teams use it

KYC Document Processing and Intake

Automate the ingestion, extraction, and validation of KYC documents using TinyFish within Jinba Flow. Build reusable workflows that route documents through compliance checks with full audit trails.

Compliance Workflow Automation

Connect TinyFish to compliance logic in Jinba Flow to run structured checks on contracts, regulatory filings, and internal policies. Deterministic execution ensures consistent, auditable outcomes aligned with enterprise compliance standards.

Contract Review and Extraction

Use TinyFish AI capabilities inside Jinba Flow to extract clauses, flag anomalies, and route contracts for approval. Publish the workflow as a shared team API so legal and operations teams run it consistently.

Loan Underwriting Document Automation

Automate the intake and assessment of loan application documents by embedding TinyFish into Jinba workflows. Structured outputs and audit logs satisfy underwriting governance requirements at scale.

Secure Document Ingestion at Scale

Build batch-processing workflows in Jinba Flow that use TinyFish to ingest and categorize large volumes of financial or legal documents, with version control and feature flags for safe production rollouts.

Learn how

How to Fetch Web Pages with TinyFish in a Jinba Workflow

Fetch JavaScript-heavy pages as clean text or JSON, so the next step gets content instead of page clutter.

Works well with

Microsoft SharePointMicrosoft 365

Automate document intake, extraction and routing

Azure OpenAIAI Models

OpenAI models hosted in your own Azure tenant

AWS Bedrock Knowledge BaseSearch & Data

RAG and document sync inside your own VPC

Microsoft OneDriveMicrosoft 365

Pull files into flows and write results back

Microsoft Entra IDMicrosoft 365

Look up M365 profiles and manager relationships

Microsoft TeamsMicrosoft 365

Manage channels and messages where teams work

Frequently Asked Questions

Everything you need to know about Jinba. Can't find the answer you're looking for? Reach out to our support team.

Does Jinba support TinyFish integration in on-premise or air-gapped environments?

Jinba Flow can run on-premise or in a private cloud. TinyFish search, fetch and agent steps call TinyFish's hosted service, so the queries and URLs they are given leave your network, and an air-gapped deployment cannot use them.

Is my data sent to a public AI model when using TinyFish with Jinba?

TinyFish steps send their query, URLs or goal to TinyFish's service. Pass only what the step needs; other steps can use private model hosting through AWS Bedrock, Azure AI or a self-hosted model.

How does Jinba ensure TinyFish workflows are auditable for compliance teams?

Jinba Flow wraps TinyFish AI capabilities in a deterministic execution layer where 80% of workflow logic is rule-based. Every workflow execution is logged in full audit trails. Combined with role-based permissions (RBAC), SSO, and Active Directory integration, compliance teams can trace every action back to the user and workflow version that triggered it. Version control and feature flags provide additional governance for production rollouts.

Can non-technical staff at my bank or insurance company run TinyFish workflows safely?

Yes. Workflows built with TinyFish in Jinba Flow are published as shared team automations accessible through Jinba App, a conversational execution interface with auto-generated input forms. Non-technical operations staff such as KYC analysts, compliance officers, and loan processors can invoke approved workflows without accessing the underlying builder. Access is controlled by RBAC, so only authorized roles can run specific workflows, reducing operational risk.

How quickly can we build and deploy a TinyFish workflow in Jinba for KYC or compliance use cases?

Jinba Flow is designed to reduce workflow build time significantly compared to traditional implementation approaches. Teams can describe a workflow in natural language using chat-to-flow generation, refine it in the visual editor, test it with real data, and publish it as an API or batch process. This approach is intended to compress timelines from months to days, without the need for large consultant-driven projects or bespoke engineering work.

Ready to Deploy TinyFish Workflows

Talk to our team about building auditable TinyFish workflows for your regulated enterprise.

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