AI app for it and development · no coding needed
Structured data extraction and stewardship console
Reduce broken extractions and manual data preparation while keeping source traceability.
Made for: Data engineers, product teams and operations staff who need clean structured data from websites and documents for apps and AI agents
What it does for you
The problem
Websites and documents must be turned into clean structured data for apps and AI agents, but manual scraping code, layout changes and unstructured files break pipelines.
What it gives you
Reviewed structured JSON records with source citations
What you give it
Permitted web pagesdocumentsextraction promptstarget schemas
Build your own version of /extract by Firecrawl, SingleAPI and more
One app with what these 10 AI tools do, yours to keep and change: /extract by Firecrawl, SingleAPI, apiJuice, ZooData, Jsonify, FlowScraper, Tables by Playmaker, Browser Use Skills, CatchAll by NewsCatcher, AgentReady.
Everything these tools do, in one app
- Prompt-based extraction Users describe the data they want in plain language and the tool returns structured output without writing scrapers.Found in /extract by Firecrawl, SingleAPI, apiJuice and 1 more
- Structured JSON output Delivers clean, structured JSON data ready for use in applications and pipelines.Found in /extract by Firecrawl, SingleAPI, apiJuice and 5 more
- No custom scraping code Eliminates the need for manual scraping selectors or coding.Found in /extract by Firecrawl, SingleAPI, apiJuice and 4 more
- Handles dynamic pages Renders JavaScript-heavy or dynamic websites so data can be extracted reliably.Found in SingleAPI, FlowScraper, Jsonify and 1 more
- Adapts to layout changes Automatically adjusts when website designs change, reducing broken extractions.Found in SingleAPI, Jsonify, ZooData
- Automated crawling and context gathering Crawls relevant pages and ranks content to find the needed information automatically.Found in /extract by Firecrawl, Jsonify, CatchAll by NewsCatcher
- Data enrichment Fills in missing details or adds extra context to extracted datasets.Found in SingleAPI, ZooData
- Scheduled monitoring Runs extraction tasks on a schedule and pushes fresh results automatically.Found in FlowScraper, CatchAll by NewsCatcher
- Export and integration options Exports data or connects to other tools via CSV, API, or platform integrations.Found in /extract by Firecrawl, apiJuice, ZooData and 5 more
- Document extraction Extracts structured data from PDFs, images, and other unstructured documents.Found in Jsonify, Tables by Playmaker
- Token compression Reduces the number of tokens sent to LLMs, lowering API costs.Found in ZooData, AgentReady
- Source citations Attaches source references to extracted records for traceability.Found in CatchAll by NewsCatcher
- Deduplication and validation Removes duplicate records and validates data to reduce noise.Found in CatchAll by NewsCatcher
- Hosted API endpoints Provides ready-to-use API endpoints that can be called programmatically.Found in apiJuice, Browser Use Skills
- Visual interface Offers a point-and-click or no-code interface for selecting data and building workflows.Found in FlowScraper, Tables by Playmaker
- Data cleaning tools Built-in tools to clean and organize extracted data.Found in FlowScraper
- Markdown conversion Converts web pages to clean Markdown for easier ingestion by AI models.Found in AgentReady
- LLM content auditing Checks whether web content is visible and suitable for AI agents.Found in AgentReady
How it works, step by step
- Describe wanted data in plain language
- Return structured JSON output
- Remove custom scraping code
- Render dynamic JavaScript-heavy pages
- Adapt to website layout changes
- Crawl and rank relevant pages automatically
- Enrich records with missing details
- Run scheduled extraction and push fresh results
- Export via CSV, API or platform integrations
- Extract from PDFs, images and unstructured documents
- Compress tokens sent to LLMs
- Attach source citations to records
- Deduplicate and validate records
- Provide hosted API endpoints
- Offer a point-and-click visual interface
- Clean and organize extracted data
- Convert pages to clean Markdown
- Audit web content for AI visibility and suitability
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Structured data extraction and stewardship console with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Structured data extraction and stewardship console with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links5 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare25 KB
- prompt-vps.mdThe same build on your own server (Docker)25 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria12 KB
- demo/index.htmlThe working demo on sample data195 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
Reduce broken extractions and manual data preparation while keeping source traceability. For data engineers, product teams and operations staff who need clean structured data from websites and documents for apps and AI agents, convert permitted web pages, documents and extraction prompts into reviewed structured JSON records with source citations. The benefit is a testable hypothesis, measured through accepted records per extraction hour and rework after layout or schema changes; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect permitted web pages, documents, extraction prompts and target schemas, then follow this sequence: 1. Describe wanted data in plain language. 2. Return structured JSON output. 3. Remove custom scraping code. 4. Render dynamic JavaScript-heavy pages. 5. Adapt to website layout changes. 6. Crawl and rank relevant pages automatically. 7. Enrich records with missing details. 8. Run scheduled extraction and push fresh results. 9. Export via CSV, API or platform integrations. 10. Extract from PDFs, images and unstructured documents. 11. Compress tokens sent to LLMs. 12. Attach source citations to records. 13. Deduplicate and validate records. 14. Provide hosted API endpoints. 15. Offer a point-and-click visual interface. 16. Clean and organize extracted data. 17. Convert pages to clean Markdown. 18. Audit web content for AI visibility and suitability. Resolve uncertain cases with qualified reviewers, approve reviewed structured JSON records with source citations, and measure accepted records per extraction hour and rework after layout or schema changes against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. Extraction scope, schema definitions and final data checks remain with the buyer's data owner. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve source attribution, extraction accuracy and usage permissions. Data owners approve substantive changes and export scope. One approved source type and target schema; extraction scope, schema definitions and final data checks remain with the buyer's data owner. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.
What to build first
Pilot scope: One approved source type and target schema; extraction scope, schema definitions and final data checks remain with the buyer's data owner. Implement one approved input format, a bounded representative case set and the first two task modules: describe wanted data in plain language; return structured JSON output. Support the third module with operator review: remove custom scraping code. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
What it can connect to
Buyer-owned websites, authorized documents and permitted data sources. Cloud storage, database import/export and application or agent destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Source and prompt setup, Editable record preview, Review and export. Use a thumbnail gallery for extraction projects, a large central table for records, and a right-hand panel for sources, schemas, citations and comments. Let users compare versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant record. Make the task-specific outcome reviewed structured JSON records with source citations visible beside its evidence, review state and value baseline.
