Vibecode GetXAPI
track this build5 steps, step by step0%KINDA · weekend project
For personal, read-only scale this is genuinely kinda: twscrape plus a throwaway account gets you tweets from a few handles in a weekend. The gaps are the product: X actively fights automated access, so the DIY version breaks whenever X changes something, burns the accounts it runs on, cannot safely post or DM, has no real-time push, and does not scale. You pay for requests that keep working next week.
the project pack4 files · fastest path to a working personal build
You are building a lean indie version of GetXAPI. Create the following project files first, then implement the application by following them. Keep the files updated as decisions change. Do not collapse this into a single README or prompt. ===== README.md ===== # GetXAPI indie build ## Goal Build the smallest trustworthy replacement for the core GetXAPI workflow for one developer or a tiny team. ## Scope A Python CLI that pulls tweets and profiles for a shortlist of handles into SQLite on a cron, using an X account you are willing to lose. ## Quick start 1. Install the documented dependencies. 2. Copy `.env.example` to `.env`. 3. Run the development command chosen during implementation. 4. Complete the acceptance checks in `BUILD_PLAN.md`. ## Honest limits This build deliberately does not replace: - reliability: every X change is your outage until you patch it - account safety: automation flags and burns the login it runs on - write actions: posting and DMs from a scraper risk real bans - real-time push: no webhooks, you poll and you lag - scale: a few handles works, thousands is a different sport If those capabilities are essential, use twscrape instead of pretending the gap is solved. ===== AGENTS.md ===== # Agent instructions - Optimize for a working, understandable weekend build. - Prefer the fewest moving parts that satisfy the brief. - Do not invent cryptography, security guarantees, APIs, or compliance claims. - Keep secrets out of source control and logs. - Add focused tests for destructive, security-sensitive, and data-loss paths. - Run the project checks before declaring the build complete. - Record any deliberate shortcut in the README under "Tradeoffs". ===== BUILD_PLAN.md ===== # Build plan ## Original build brief Build me a personal Twitter/X archive tool in Python. - Use twscrape (pip) for all X access; I will add one or two throwaway accounts with `twscrape add_accounts` myself. Never use my real account. - watchlist.txt holds up to 10 handles, one per line. - An hourly cron entry point `python fetch.py`: for each handle, pull new tweets since the last stored id and upsert into SQLite (tweets: id, handle, text, created_at, like_count, retweet_count, is_reply, is_quote). - Be gentle: shuffle handle order, sleep 5-15s between handles, and back off for an hour on repeated failures instead of hammering. - `python export.py <handle>` writes that handle's archive to JSON and CSV. - A localhost dashboard (Flask, one page): newest tweets across all handles, a per-handle sparkline of tweets per day, and a search box over a SQLite full-text index. - Local only: no cloud, no accounts beyond the burners, no telemetry; session data stays in twscrape's own store. - README: setup, the cron line, and a blunt warning that scraping X breaks routinely and burner accounts get flagged; when fetch.py starts failing, re-login or swap accounts. - Explicitly out of scope: posting, DMs, webhooks/streaming, more than ~10 handles, and anything commercial. ## Required capabilities - a throwaway X account - patience for re-login breakage ## Delivery order 1. Scaffold the smallest runnable application and document its commands. 2. Implement the primary data model and core workflow. 3. Add validation, safe failure states, and persistence. 4. Cover the critical path with automated tests. 5. Exercise a clean install from the README and fix every missing step. ## Done when - A new user can go from clone to first successful workflow using only the README. - The core workflow works without paid infrastructure unless the brief requires it. - Tests cover the highest-risk behavior. - Known limitations are explicit rather than hidden. ===== .env.example ===== # Copy to .env and document every variable when it is introduced. # Never put real credentials in this file. APP_ENV=development # Add only values required by the selected implementation.
You are building a lean indie version of GetXAPI. Create the following project files first, then implement the application by following them. Keep the files updated as decisions change. Do not collapse this into a single README or prompt. ===== README.md ===== # GetXAPI indie build ## Goal Build the smallest trustworthy replacement for the core GetXAPI workflow for one developer or a tiny team. ## Scope A Python CLI that pulls tweets and profiles for a shortlist of handles into SQLite on a cron, using an X account you are willing to lose. ## Quick start 1. Install the documented dependencies. 2. Copy `.env.example` to `.env`. 3. Run the development command chosen during implementation. 4. Complete the acceptance checks in `BUILD_PLAN.md`. ## Honest limits This build deliberately does not replace: - reliability: every X change is your outage until you patch it - account safety: automation flags and burns the login it runs on - write actions: posting and DMs from a scraper risk real bans - real-time push: no webhooks, you poll and you lag - scale: a few handles works, thousands is a different sport If those capabilities are essential, use twscrape instead of pretending the gap is solved. ===== AGENTS.md ===== # Agent instructions - Optimize for a working, understandable weekend build. - Prefer the fewest moving parts that satisfy the brief. - Do not invent cryptography, security guarantees, APIs, or compliance claims. - Keep secrets out of source control and logs. - Add focused tests for destructive, security-sensitive, and data-loss paths. - Run the project checks before declaring the build complete. - Record any deliberate shortcut in the README under "Tradeoffs". ===== BUILD_PLAN.md ===== # Build plan ## Original build brief Build me a personal Twitter/X archive tool in Python. - Use twscrape (pip) for all X access; I will add one or two throwaway accounts with `twscrape add_accounts` myself. Never use my real account. - watchlist.txt holds up to 10 handles, one per line. - An hourly cron entry point `python fetch.py`: for each handle, pull new tweets since the last stored id and upsert into SQLite (tweets: id, handle, text, created_at, like_count, retweet_count, is_reply, is_quote). - Be gentle: shuffle handle order, sleep 5-15s between handles, and back off for an hour on repeated failures instead of hammering. - `python export.py <handle>` writes that handle's archive to JSON and CSV. - A localhost dashboard (Flask, one page): newest tweets across all handles, a per-handle sparkline of tweets per day, and a search box over a SQLite full-text index. - Local only: no cloud, no accounts beyond the burners, no telemetry; session data stays in twscrape's own store. - README: setup, the cron line, and a blunt warning that scraping X breaks routinely and burner accounts get flagged; when fetch.py starts failing, re-login or swap accounts. - Explicitly out of scope: posting, DMs, webhooks/streaming, more than ~10 handles, and anything commercial. ## Required capabilities - a throwaway X account - patience for re-login breakage ## Delivery order 1. Scaffold the smallest runnable application and document its commands. 2. Implement the primary data model and core workflow. 3. Add validation, safe failure states, and persistence. 4. Cover the critical path with automated tests. 5. Exercise a clean install from the README and fix every missing step. ## Done when - A new user can go from clone to first successful workflow using only the README. - The core workflow works without paid infrastructure unless the brief requires it. - Tests cover the highest-risk behavior. - Known limitations are explicit rather than hidden. ===== .env.example ===== # Copy to .env and document every variable when it is introduced. # Never put real credentials in this file. APP_ENV=development # Add only values required by the selected implementation.
You are building a production product version of GetXAPI. Create the following project files first, then implement the application by following them. Keep the files updated as decisions change. Do not collapse this into a single README or prompt. ===== PRODUCT.md ===== # GetXAPI product brief ## Problem For personal, read-only scale this is genuinely kinda: twscrape plus a throwaway account gets you tweets from a few handles in a weekend. The gaps are the product: X actively fights automated access, so the DIY version breaks whenever X changes something, burns the accounts it runs on, cannot safely post or DM, has no real-time push, and does not scale. You pay for requests that keep working next week. ## Product outcome A Python CLI that pulls tweets and profiles for a shortlist of handles into SQLite on a cron, using an X account you are willing to lose. ## Target user A serious builder who needs a maintainable product foundation rather than a one-off demo. ## Required capabilities - a throwaway X account - patience for re-login breakage ## Explicit non-goals for v1 - reliability: every X change is your outage until you patch it - account safety: automation flags and burns the login it runs on - write actions: posting and DMs from a scraper risk real bans - real-time push: no webhooks, you poll and you lag - scale: a few handles works, thousands is a different sport ## Success criteria - The primary workflow is measurable end to end. - Setup is reproducible in a clean environment. - Failure, recovery, and support paths are documented. - Product claims match what the implementation actually guarantees. ===== ARCHITECTURE.md ===== # Architecture ## Starting brief Build me a personal Twitter/X archive tool in Python. - Use twscrape (pip) for all X access; I will add one or two throwaway accounts with `twscrape add_accounts` myself. Never use my real account. - watchlist.txt holds up to 10 handles, one per line. - An hourly cron entry point `python fetch.py`: for each handle, pull new tweets since the last stored id and upsert into SQLite (tweets: id, handle, text, created_at, like_count, retweet_count, is_reply, is_quote). - Be gentle: shuffle handle order, sleep 5-15s between handles, and back off for an hour on repeated failures instead of hammering. - `python export.py <handle>` writes that handle's archive to JSON and CSV. - A localhost dashboard (Flask, one page): newest tweets across all handles, a per-handle sparkline of tweets per day, and a search box over a SQLite full-text index. - Local only: no cloud, no accounts beyond the burners, no telemetry; session data stays in twscrape's own store. - README: setup, the cron line, and a blunt warning that scraping X breaks routinely and burner accounts get flagged; when fetch.py starts failing, re-login or swap accounts. - Explicitly out of scope: posting, DMs, webhooks/streaming, more than ~10 handles, and anything commercial. ## Boundaries Separate the product into replaceable modules for interface, application logic, persistence, external integrations, and operational concerns. Keep domain logic independent from delivery frameworks and vendors. ## Production baseline - Configuration: validated at startup with safe local defaults where possible. - Security: least privilege, input validation, secret redaction, rate limits on abuse-prone paths, and no invented security primitives. - Data: explicit schema and migrations, transactional writes where integrity matters, backup and restore instructions. - Integrations: adapters around third-party providers, idempotent webhook or job processing, bounded retries, and timeouts. - Observability: structured logs with request or operation IDs, an error-tracking hook, and health/readiness checks where a server exists. - Quality: unit tests for domain rules, integration tests at module boundaries, and one end-to-end critical-path test. ## Decision records For each major dependency, document why it was chosen, its failure mode, and how it can be replaced. Do not introduce infrastructure until a requirement justifies it. ===== AGENTS.md ===== # Agent instructions - Read `PRODUCT.md` and `ARCHITECTURE.md` before changing code. - Implement milestone by milestone; keep each change reviewable and leave the application runnable. - Treat authentication, payments, encryption, imports, webhooks, and destructive actions as high-risk boundaries when present. - Never invent cryptography or silently weaken a requirement to make a test pass. - Use provider interfaces for external services and deterministic fakes in tests. - Add migrations and rollback or recovery notes for persistent data changes. - Log useful operational context without credentials, tokens, passwords, or personal data. - Update documentation and run all checks before completing a milestone. ===== MILESTONES.md ===== # Delivery milestones ## M0 — Decisions and scaffold - Confirm the runtime, persistence model, threat boundaries, and deployment target. - Create a reproducible local environment and continuous checks. ## M1 — Core workflow - Implement the smallest end-to-end product path with validation and tests. - Keep integrations behind interfaces. ## M2 — Trust layer - Add secure failure behavior, recovery paths, audit-relevant events, and data safeguards. - Test abuse cases and destructive operations. ## M3 — Operability - Add structured logs, error reporting hooks, health signals, backup/restore documentation, and deployment configuration. ## M4 — Release gate - Run a clean-install test, critical-path end-to-end test, dependency review, and documented rollback exercise. - Compare the shipped behavior with `PRODUCT.md` and publish remaining limitations. ===== OPERATIONS.md ===== # Operations ## Before release - Validate configuration and secrets at startup. - Define backup, restore, and rollback procedures and test them. - Document logs, error tracking, health signals, and alert ownership. - Set dependency update and vulnerability review expectations. ## Incident checklist 1. Contain the issue without destroying evidence or user data. 2. Record the timeline and affected scope. 3. Rotate exposed secrets and revoke compromised sessions or credentials. 4. Restore from a verified source when needed. 5. Document the root cause, remediation, and regression test. ## Launch constraint Do not market omitted GetXAPI capabilities as implemented. The v1 non-goals in `PRODUCT.md` remain user-visible limitations until they are deliberately delivered.
README.md
# GetXAPI indie build ## Goal Build the smallest trustworthy replacement for the core GetXAPI workflow for one developer or a tiny team. ## Scope A Python CLI that pulls tweets and profiles for a shortlist of handles into SQLite on a cron, using an X account you are willing to lose. ## Quick start 1. Install the documented dependencies. 2. Copy `.env.example` to `.env`. 3. Run the development command chosen during implementation. 4. Complete the acceptance checks in `BUILD_PLAN.md`. ## Honest limits This build deliberately does not replace: - reliability: every X change is your outage until you patch it - account safety: automation flags and burns the login it runs on - write actions: posting and DMs from a scraper risk real bans - real-time push: no webhooks, you poll and you lag - scale: a few handles works, thousands is a different sport If those capabilities are essential, use twscrape instead of pretending the gap is solved.
AGENTS.md
# Agent instructions - Optimize for a working, understandable weekend build. - Prefer the fewest moving parts that satisfy the brief. - Do not invent cryptography, security guarantees, APIs, or compliance claims. - Keep secrets out of source control and logs. - Add focused tests for destructive, security-sensitive, and data-loss paths. - Run the project checks before declaring the build complete. - Record any deliberate shortcut in the README under "Tradeoffs".
BUILD_PLAN.md
# Build plan ## Original build brief Build me a personal Twitter/X archive tool in Python. - Use twscrape (pip) for all X access; I will add one or two throwaway accounts with `twscrape add_accounts` myself. Never use my real account. - watchlist.txt holds up to 10 handles, one per line. - An hourly cron entry point `python fetch.py`: for each handle, pull new tweets since the last stored id and upsert into SQLite (tweets: id, handle, text, created_at, like_count, retweet_count, is_reply, is_quote). - Be gentle: shuffle handle order, sleep 5-15s between handles, and back off for an hour on repeated failures instead of hammering. - `python export.py <handle>` writes that handle's archive to JSON and CSV. - A localhost dashboard (Flask, one page): newest tweets across all handles, a per-handle sparkline of tweets per day, and a search box over a SQLite full-text index. - Local only: no cloud, no accounts beyond the burners, no telemetry; session data stays in twscrape's own store. - README: setup, the cron line, and a blunt warning that scraping X breaks routinely and burner accounts get flagged; when fetch.py starts failing, re-login or swap accounts. - Explicitly out of scope: posting, DMs, webhooks/streaming, more than ~10 handles, and anything commercial. ## Required capabilities - a throwaway X account - patience for re-login breakage ## Delivery order 1. Scaffold the smallest runnable application and document its commands. 2. Implement the primary data model and core workflow. 3. Add validation, safe failure states, and persistence. 4. Cover the critical path with automated tests. 5. Exercise a clean install from the README and fix every missing step. ## Done when - A new user can go from clone to first successful workflow using only the README. - The core workflow works without paid infrastructure unless the brief requires it. - Tests cover the highest-risk behavior. - Known limitations are explicit rather than hidden.
.env.example
# Copy to .env and document every variable when it is introduced. # Never put real credentials in this file. APP_ENV=development # Add only values required by the selected implementation.
PRODUCT.md
# GetXAPI product brief ## Problem For personal, read-only scale this is genuinely kinda: twscrape plus a throwaway account gets you tweets from a few handles in a weekend. The gaps are the product: X actively fights automated access, so the DIY version breaks whenever X changes something, burns the accounts it runs on, cannot safely post or DM, has no real-time push, and does not scale. You pay for requests that keep working next week. ## Product outcome A Python CLI that pulls tweets and profiles for a shortlist of handles into SQLite on a cron, using an X account you are willing to lose. ## Target user A serious builder who needs a maintainable product foundation rather than a one-off demo. ## Required capabilities - a throwaway X account - patience for re-login breakage ## Explicit non-goals for v1 - reliability: every X change is your outage until you patch it - account safety: automation flags and burns the login it runs on - write actions: posting and DMs from a scraper risk real bans - real-time push: no webhooks, you poll and you lag - scale: a few handles works, thousands is a different sport ## Success criteria - The primary workflow is measurable end to end. - Setup is reproducible in a clean environment. - Failure, recovery, and support paths are documented. - Product claims match what the implementation actually guarantees.
ARCHITECTURE.md
# Architecture ## Starting brief Build me a personal Twitter/X archive tool in Python. - Use twscrape (pip) for all X access; I will add one or two throwaway accounts with `twscrape add_accounts` myself. Never use my real account. - watchlist.txt holds up to 10 handles, one per line. - An hourly cron entry point `python fetch.py`: for each handle, pull new tweets since the last stored id and upsert into SQLite (tweets: id, handle, text, created_at, like_count, retweet_count, is_reply, is_quote). - Be gentle: shuffle handle order, sleep 5-15s between handles, and back off for an hour on repeated failures instead of hammering. - `python export.py <handle>` writes that handle's archive to JSON and CSV. - A localhost dashboard (Flask, one page): newest tweets across all handles, a per-handle sparkline of tweets per day, and a search box over a SQLite full-text index. - Local only: no cloud, no accounts beyond the burners, no telemetry; session data stays in twscrape's own store. - README: setup, the cron line, and a blunt warning that scraping X breaks routinely and burner accounts get flagged; when fetch.py starts failing, re-login or swap accounts. - Explicitly out of scope: posting, DMs, webhooks/streaming, more than ~10 handles, and anything commercial. ## Boundaries Separate the product into replaceable modules for interface, application logic, persistence, external integrations, and operational concerns. Keep domain logic independent from delivery frameworks and vendors. ## Production baseline - Configuration: validated at startup with safe local defaults where possible. - Security: least privilege, input validation, secret redaction, rate limits on abuse-prone paths, and no invented security primitives. - Data: explicit schema and migrations, transactional writes where integrity matters, backup and restore instructions. - Integrations: adapters around third-party providers, idempotent webhook or job processing, bounded retries, and timeouts. - Observability: structured logs with request or operation IDs, an error-tracking hook, and health/readiness checks where a server exists. - Quality: unit tests for domain rules, integration tests at module boundaries, and one end-to-end critical-path test. ## Decision records For each major dependency, document why it was chosen, its failure mode, and how it can be replaced. Do not introduce infrastructure until a requirement justifies it.
AGENTS.md
# Agent instructions - Read `PRODUCT.md` and `ARCHITECTURE.md` before changing code. - Implement milestone by milestone; keep each change reviewable and leave the application runnable. - Treat authentication, payments, encryption, imports, webhooks, and destructive actions as high-risk boundaries when present. - Never invent cryptography or silently weaken a requirement to make a test pass. - Use provider interfaces for external services and deterministic fakes in tests. - Add migrations and rollback or recovery notes for persistent data changes. - Log useful operational context without credentials, tokens, passwords, or personal data. - Update documentation and run all checks before completing a milestone.
MILESTONES.md
# Delivery milestones ## M0 — Decisions and scaffold - Confirm the runtime, persistence model, threat boundaries, and deployment target. - Create a reproducible local environment and continuous checks. ## M1 — Core workflow - Implement the smallest end-to-end product path with validation and tests. - Keep integrations behind interfaces. ## M2 — Trust layer - Add secure failure behavior, recovery paths, audit-relevant events, and data safeguards. - Test abuse cases and destructive operations. ## M3 — Operability - Add structured logs, error reporting hooks, health signals, backup/restore documentation, and deployment configuration. ## M4 — Release gate - Run a clean-install test, critical-path end-to-end test, dependency review, and documented rollback exercise. - Compare the shipped behavior with `PRODUCT.md` and publish remaining limitations.
OPERATIONS.md
# Operations ## Before release - Validate configuration and secrets at startup. - Define backup, restore, and rollback procedures and test them. - Document logs, error tracking, health signals, and alert ownership. - Set dependency update and vulnerability review expectations. ## Incident checklist 1. Contain the issue without destroying evidence or user data. 2. Record the timeline and affected scope. 3. Rotate exposed secrets and revoke compromised sessions or credentials. 4. Restore from a verified source when needed. 5. Document the root cause, remediation, and regression test. ## Launch constraint Do not market omitted GetXAPI capabilities as implemented. The v1 non-goals in `PRODUCT.md` remain user-visible limitations until they are deliberately delivered.
$ choose a build depth, inspect the files, then open the complete pack in your agent
X retired meaningful free API access and priced the official tiers for enterprises, so everyone else either scrapes or pays someone to keep scraping working. The subscription is not the endpoints, it is the ops: absorbing every anti-bot change, keeping sessions alive, and answering for uptime while you build your actual product.
xreliability: every X change is your outage until you patch it
xaccount safety: automation flags and burns the login it runs on
xwrite actions: posting and DMs from a scraper risk real bans
xreal-time push: no webhooks, you poll and you lag
xscale: a few handles works, thousands is a different sport
share on X ↗"I just replaced GetXAPI ($15/mo) with one prompt"
GetXAPI pricing
| plan | monthly | annual (per mo) | what you get |
|---|---|---|---|
| api free signup | $0 | $0 | $0.10 in credits, roughly 100 standard calls or 2,000 returned tweets; no card. |
| api pay as you go | custom | — | Top-ups start at $10; most reads cost $0.001/call and heavier routes cost $0.002-$0.010/call. |
| api starter | custom | — | $4.50 in usable credits, roughly 4,500 standard calls; expires after 30 days. |
| api pro | $15 | — | $30 plan credit plus $10 bonus credit, roughly 40,000 standard calls/month. |
| api growth | $49 | — | $120 plan credit plus $20 bonus credit, roughly 140,000 standard calls/month. |
| api scale | $99 | — | $300 plan credit plus $50 bonus credit, roughly 350,000 standard calls/month. |
| api custom | custom | — | Custom prepaid volume and support. |
| monitoring starter | $19 | — | Monitor up to 6 accounts; approximately 15-second polling. |
| monitoring growth | $59 | — | Monitor up to 20 accounts; approximately 2-second fast-tier polling. |
| monitoring professional | $119 | — | Monitor up to 50 accounts. |
| monitoring enterprise | $249 | — | Monitor up to 150 accounts. |
| spaces pay as you go | custom | — | $0.05 per job plus $0.015 per transcript minute. |
free tier$0.10 signup credit, roughly 100 standard calls or 2,000 returned tweets; no card; starter credit never expires
billingmonthly subscriptions plus prepaid pay-as-you-go and one-time packs; no annual subscription price published
hidden costsRoute prices vary from $0.001 to $0.010 per call; Spaces has a separate job and transcript-minute charge; subscription rollover is lost when the plan lapses.
verified 2026-08-14 · source ↗
Vibecode GetXAPI
Kinda. The core of GetXAPI is buildable in a weekend with the prompt on this page, but there are real gaps: reliability: every X change is your outage until you patch it, account safety: automation flags and burns the login it runs on. Read the honest list above before committing.
How much does GetXAPI cost?
GetXAPI costs about $15/month (Pro, checked 2026-07-31), which is $180 per year.
What do I lose by replacing GetXAPI?
Honestly: reliability: every X change is your outage until you patch it; account safety: automation flags and burns the login it runs on; write actions: posting and DMs from a scraper risk real bans; real-time push: no webhooks, you poll and you lag; scale: a few handles works, thousands is a different sport. If any of those are load-bearing for you, keep paying.
Is there an open-source alternative to GetXAPI?
Yes: twscrape (account-based X scraper, the standard DIY starting point), twitter-scraper (TypeScript X scraper, no official API). Using prior art is also vibecoding; the prompt is for when you want it exactly your way.