# AGENTS.md — Build guide for Import.io ## Project scope Extract a recurring product/pricing dataset from a small approved source set with field schemas, pagination and a reviewable change report. Catalogue verdict: kinda. The visible enterprise web data loop is buildable, but a credible replacement needs more than the first screen. Import.io earns its keep through connectors, auth, reliability, so expect a weekend or multi-day build and a narrower personal scope. Use the implementation prompt below to define the deliverable. Complete each phase's acceptance checks before extending the scope. ## Working agreement - Inspect the repository and its existing instructions before choosing paths, dependencies or commands. Keep one coherent stack and explain changes to the proposed architecture. - Plan a vertical slice that accepts a real input and produces the useful output described below. Persist only the state the prompt calls for; respect memory-only and upstream-managed workflows. Use fixtures only when they are clearly labelled. - After scaffolding, document the actual install, development, check and build commands in README and keep them synchronized with the package or project manifest. Do not report commands as successful unless they ran. - Work in small steps. At handoff, list implemented flows, checks actually performed, remaining blockers, and any credentials or provider setup the owner must supply. - Do not publish, spend money, contact customers, delete source data or run irreversible migrations without the project owner's authorization. ## Prerequisites - Runtime and tools: Python, HTTP parsing, SQLite and optional Playwright for explicitly permitted rendered pages. - Before starting: A small authorized URL set, reviewed selectors or field schema and a user-approved crawl frequency; no proxy-evasion machinery. ## Stack and architecture - Python, HTTP parsing, SQLite and optional Playwright for explicitly permitted rendered pages - Data design: Store SourceContract, ExtractionVersion, RowKey, FieldObservation and ValidationFailure; required-field failures quarantine rows instead of coercing missing prices to zero. - Setup: A small authorized URL set, reviewed selectors or field schema and a user-approved crawl frequency; no proxy-evasion machinery ## Security and data integrity - Bound hosts, redirects, page count, body size and timeout. Reject private-network destinations throughout redirects, respect access restrictions and backoff, and distinguish extraction failure from a missing field. - Deliver one vertical dataset with documented coverage. Do not claim enterprise source maintenance, arbitrary websites or access through anti-bot restrictions. - Keep secrets outside client bundles and exported projects; document what leaves the device and make retention/deletion controls visible. ## Agent implementation rules - Project rule — domain: Store SourceContract, ExtractionVersion, RowKey, FieldObservation and ValidationFailure; required-field failures quarantine rows instead of coercing missing prices to zero. - Project rule — scope and recovery: Deliver one vertical dataset with documented coverage. Do not claim enterprise source maintenance, arbitrary websites or access through anti-bot restrictions. - Project rule — acceptance: A source changes currency formatting and pagination repeats a page; deduplicate row keys, retain raw price text and block comparison until parsing is reviewed. - Project rule — delivery: document real setup commands and permissions; do not claim a build, accuracy level, performance result or security certification that has not been demonstrated. ## Optional agent skills and references - Recommended skill: [modern-python](https://github.com/trailofbits/skills/blob/main/plugins/modern-python/skills/modern-python/SKILL.md) — structure the Python worker or explicitly optional read-only utility with pinned dependencies, typed boundaries and clear failure handling. Follow the maintainer's installation instructions and match its requirements to the chosen runtime. - Recommended skill: [agent-browser](https://github.com/vercel-labs/agent-browser/blob/main/skills/agent-browser/SKILL.md) — inspect the approved browser workflow and reproduce permitted page interactions; the CLI/browser runtime is a separate prerequisite. Follow the maintainer's installation instructions and match its requirements to the chosen runtime. Read the linked SKILL.md and its dependencies before adding a skill. Select only the skills matching this project's runtime and task; their documentation does not supply API access, credentials or approval to perform external actions. Pin the reviewed revision where the tool supports it. Follow the chosen agent's documented project-level installation mechanism. ## Distribution ideas These are optional planning notes. Obtain the owner's approval before publishing or contacting anyone. - Demonstrate this working slice using synthetic or explicitly authorized non-sensitive examples: Extract a recurring product/pricing dataset from a small approved source set with field schemas, pagination and a reviewable change report. - Share a synthetic example export and the acceptance walkthrough; keep real customer, health, financial and source data private: A source changes currency formatting and pagination repeats a page; deduplicate row keys, retain raw price text and block comparison until parsing is reviewed. - State the limits before asking someone to replace their existing tool: Deliver one vertical dataset with documented coverage. Do not claim enterprise source maintenance, arbitrary websites or access through anti-bot restrictions. ## Engineering roadmap 1. Phase 1 — Pin the working slice and create its example input: Extract a recurring product/pricing dataset from a small approved source set with field schemas, pagination and a reviewable change report. Confirm setup: A small authorized URL set, reviewed selectors or field schema and a user-approved crawl frequency; no proxy-evasion machinery. 2. Phase 2 — Implement persistence and write-time invariants before decorating the UI: Store SourceContract, ExtractionVersion, RowKey, FieldObservation and ValidationFailure; required-field failures quarantine rows instead of coercing missing prices to zero. 3. Phase 3 — Connect the working view to real saved state. Bound hosts, redirects, page count, body size and timeout. Reject private-network destinations throughout redirects, respect access restrictions and backoff, and distinguish extraction failure from a missing field. 4. Phase 4 — Expose the app-specific limits and recovery path in context: Deliver one vertical dataset with documented coverage. Do not claim enterprise source maintenance, arbitrary websites or access through anti-bot restrictions. 5. Phase 5 — Walk through this concrete acceptance case and preserve its exported evidence: A source changes currency formatting and pagination repeats a page; deduplicate row keys, retain raw price text and block comparison until parsing is reviewed. Finish the README and backup/restore instructions; report unfinished capabilities explicitly. ## Paid-product capabilities outside this build - hundreds of maintained connectors - OAuth app verification - durable execution at scale - schema drift handling and enterprise controls ## Implementation prompt Build the following focused alternative to Import.io. This is a deliberately limited personal or small-team substitute, not parity with the paid service. WORKING SLICE Extract a recurring product/pricing dataset from a small approved source set with field schemas, pagination and a reviewable change report. SETUP AND ARCHITECTURE Use Python, HTTP parsing, SQLite and optional Playwright for explicitly permitted rendered pages. Prerequisites: A small authorized URL set, reviewed selectors or field schema and a user-approved crawl frequency; no proxy-evasion machinery. Before integrating anything, record actual versions and permissions, plus model files or provider limits only where used, in the README; make unavailable dependencies visible rather than simulating success. DOMAIN MODEL AND INVARIANTS Store SourceContract, ExtractionVersion, RowKey, FieldObservation and ValidationFailure; required-field failures quarantine rows instead of coercing missing prices to zero. IMPLEMENTATION CONTRACT Bound hosts, redirects, page count, body size and timeout. Reject private-network destinations throughout redirects, respect access restrictions and backoff, and distinguish extraction failure from a missing field. Provide an input/setup view, the main work view, and a review/export view appropriate to this workflow. Preserve the last saved state if a job or save fails. Include empty, loading, permission-denied, partial and retryable-error states. Log identifiers and error categories without secret values or unnecessary private content. APP-SPECIFIC BOUNDARY AND RECOVERY Deliver one vertical dataset with documented coverage. Do not claim enterprise source maintenance, arbitrary websites or access through anti-bot restrictions. ACCEPTANCE SCENARIO A source changes currency formatting and pagination repeats a page; deduplicate row keys, retain raw price text and block comparison until parsing is reviewed. Also reopen the app after an interrupted operation, confirm the saved record/export remains inspectable, and document the recovery action. These are implementation acceptance requirements, not a claim that this guide has been tested. DELIVERY Deliver a runnable repository with migrations or project-format versioning, a non-sensitive example, environment/permission setup, the exact manual acceptance steps, and a backup/export-and-restore walkthrough. Implement the working slice before optional integrations; list any deferred paid-product capabilities honestly. Do not add capabilities outside the working slice just to resemble the original product. PROJECT RULES FOR AGENTS.md Keep the domain invariants above executable at the write boundary. Propose scope changes before adding providers or permissions. Never fabricate source evidence, publish results, identity matches or successful delivery. Preserve user originals and require an explicit confirmation for destructive changes or external publication. ## Completion evidence Demonstrate the prompt's acceptance scenarios against the scoped workflow. Include setup from a clean checkout and failure recovery. Check persistence across restart and export/restore only for the state the prompt says to store; for memory-only tools, confirm that temporary content is discarded as specified. Record actual results and remaining limitations. A detailed plan alone does not establish a working replacement.