Fetch X/Twitter tweets, replies, timelines, lists, and articles — no login, no API keys.
$ npx -y skills add ythx-101/x-tweet-fetcher --agent claude-code
Run the curl in your terminal, the rest in Claude Code.
What's inside
Fetch X/Twitter tweets, replies, timelines, lists, and articles — no login, no API keys.
Three backends · Auto fallback · Unified JSON schema · Built for AI agents
Quick Start · Backends · Capabilities · Python API · Self-hosted Nitter · Migrating from v1
You: fetch that tweet / list / article for me
AI: I can't access X/Twitter. Please copy-paste the content manually.
You: ...seriously?
X has no free API. Scraping gets you blocked. Browser automation is fragile in headless environments.
x-tweet-fetcher solves this with smart backend routing: FxTwitter for single tweets (zero deps), Nitter for timelines and search (direct HTTP), a browser driver for everything else — with automatic fallback between them.
git clone https://github.com/ythx-101/x-tweet-fetcher
cd x-tweet-fetcher && pip install .
# Single tweet — works instantly, zero configuration
xtf --url https://x.com/user/status/1234567890
# User timeline (needs a Nitter instance, see below)
export XTF_NITTER=http://127.0.0.1:8788
xtf --user elonmusk --limit 20
# Search
xtf --search "openclaw" --limit 10
# Human-readable output instead of JSON
xtf --user elonmusk --text-only
Prefer not to install? python3 scripts/fetch_tweet.py --url ... works straight from the clone (same flags).
| Backend | Deps | Speed | Covers |
|---|---|---|---|
| fxtwitter | None (stdlib) | ⚡⚡ | Single tweets, user profiles |
| nitter | A Nitter instance | ⚡ | Timeline, search, replies, mentions |
| browser | Camofox or Playwright | 🐢 | Everything above + Lists + X Articles |
| auto (default) | Best available | ⚡→🐢 | Nitter first, browser fallback |
xtf --user elonmusk # auto (default)
xtf --user elonmusk --backend nitter # direct HTTP only
xtf --list 1455045069516357634 # lists always use the browser
Browser driver defaults to Camofox (localhost:9377). Playwright users:
pip install ".[playwright]" # from the clone
export XTF_BROWSER=playwright # or: --browser-driver playwright
| Feature | Flag | Backend |
|---|---|---|
| Single tweet (text, stats, media, quotes) | --url | fxtwitter |
| Reply comments (threaded) | --url --replies | nitter / browser |
| User timeline (paginated) | --user | nitter / browser |
| Search | --search | nitter |
| User profile | --user-info | fxtwitter → nitter |
| X List tweets | --list | browser |
| X Article full text | --article | browser |
| Mentions monitor (incremental, cron-friendly) | --monitor | nitter / browser |
| Archive fetch results (dedupe, SQLite) | --ledger <db> | any |
| Search / stats the archive (offline) | --ledger <db> --query/--stats | offline |
Exit codes (cron-friendly): 0 success / no new mentions · 1 error / new mentions found · 2 monitor setup error.
Errors are machine-readable. Every failure carries error (human message) plus error_code — one of invalid_input, not_found, rate_limited, upstream_down, backend_unavailable, all_backends_failed — so agents can branch on it. all_backends_failed additionally includes per-backend error_causes.
--ledger <db> turns xtf into a fetch + archive + query local tweet library: every timeline / search / list / replies / single-tweet fetch is archived into a SQLite DB, deduped by tweet_id (INSERT OR IGNORE, idempotent). Schema is compatible with the tweet-ledger (OpenClaw) tweets table, so the same DB can be read by both tools.
# Fetch + archive a timeline
xtf --user YuLin807 --limit 20 --ledger ~/tweets.db
# Search the archive (offline)
xtf --ledger ~/tweets.db --query "sop"
# Stats: totals, languages, media/urls, time ranges
xtf --ledger ~/tweets.db --stats
Behavior without --ledger is unchanged (3.0.0-compatible). Archiving never breaks a successful fetch — on failure the JSON envelope carries ledger_error instead. Single-tweet (fxtwitter) dicts lack tweet_id, so the CLI injects it from the URL; --replies results are archived with is_reply=1 and in_reply_to_status_id pointing at the parent tweet.
tweets table: tweet_id (PK) · created_at · full_text · lang · source_file · is_reply · in_reply_to_status_id · retweeted_status_id · quoted_status_id · urls_json · media_json · raw_json · imported_at
End-to-end integration test record: docs/e2e-integration.md.
from xtf import Router, NotFound, RateLimited
router = Router() # backend="auto"
tweet = router.fetch_tweet("user", "1234567890") # dict, v1-compatible shape
tweets = router.fetch_timeline("user", limit=20) # list[Tweet]
replies = router.fetch_replies("user", "1234567890")
results = router.search("openclaw", limit=10)
for tw in tweets:
print(tw.author, tw.likes, tw.text)
print(tw.to_dict()) # JSON-ready
All backends normalize into one Tweet / Reply / Profile / Article schema — your downstream prompt only ever needs to describe one shape.
Everything is an environment variable (CLI flags override):
| Variable | Default | Meaning |
|---|---|---|
XTF_NITTER | http://127.0.0.1:8788 | Comma-separated Nitter instances, tried in order with failover |
XTF_BROWSER | camofox | Browser driver: camofox or playwright |
XTF_BROWSER_PORT | 9377 | Camofox HTTP port |
XTF_LANG | zh | Message language: zh or en |
XTF_CACHE_DIR | ~/.x-tweet-fetcher | Mentions-monitor cache |
NITTER_URL (the v1 name) is still honored as a fallback for XTF_NITTER.
Public Nitter instances are unreliable and frequently dead. Self-hosting is strongly recommended for timeline/search/replies:
# See https://github.com/zedeus/nitter for full setup
docker run -d -p 8788:8080 --name nitter zedeus/nitter:latest
export XTF_NITTER=http://127.0.0.1:8788
Multiple instances failover automatically:
export XTF_NITTER=http://127.0.0.1:8788,https://your-backup-instance.example
If no instance is reachable, you get a clear error (error_code: "all_backends_failed", with each backend's reason — e.g. backend_unavailable — under error_causes) telling you exactly what to set. Never a silent empty result.
src/xtf/
├── models.py # Tweet / Reply / Profile / Article dataclasses
├── backends/
│ ├── fxtwitter.py # single tweets + profiles
│ ├── nitter.py # direct HTTP, multi-instance failover
│ └── browser.py # Camofox / Playwright snapshot fetching
├── parsers/ # pure functions, locked by fixture tests
├── router.py # auto-fallback chain
├── monitor.py # incremental mentions monitor
└── cli.py # the `xtf` command
scripts/fetch_tweet.py # v1-compatible entry point (thin shim)
tests/fixtures/ # captured page structures — regression protection
python3 scripts/fetch_tweet.py still works with all v1 flags and exit codes, and JSON fields are unchanged for every mode except --search, whose per-tweet schema is now unified with --user (fields renamed, url/has_media/media_urls dropped). See MIGRATION.md for the full list, including where the analytics/China/Obsidian scripts went (spoiler: their own repos — this project is now purely about fetching tweets; the old world lives at the v1-legacy tag).
pip install -e ".[dev]"
pytest # all parsers locked by fixture tests
ruff check src tests
When Nitter or X change their page structure, capture a fresh snapshot into tests/fixtures/ — the failing test will show exactly which parser and field broke.
Three backends. Auto fallback. Built for AI agents.
.github/
workflows/
ci.yml
.gitignore
CHANGELOG.md
docs/
e2e-integration.md
LICENSE
MIGRATION.md
pyproject.toml
README.md
scripts/
fetch_tweet.py
SKILL.md
src/
xtf/
__init__.py
backends/
__init__.py
_camofox_driver.py
_playwright_driver.py
base.py
browser.py
fxtwitter.py
nitter.py
cli.py
config.py
exceptions.py
http.py
i18n.py
ledger.py
models.py
monitor.py
parsers/
__init__.py
fxtwitter_json.py
nitter_html.py
snapshot.py
urls.py
router.py
tests/
fixtures/
fxtwitter_article.json
fxtwitter_tweet.json
nitter_status.html
nitter_timeline.html
snapshot_article.txt
snapshot_replies.txt
snapshot_timeline.txt
test_cli.py
test_core.py
test_ledger.py
test_parsers_misc.py
test_parsers_snapshot.py
VERSION
workflows/
plans/
2026-08-08-xtf-ledger-integration.md
signoff/
2026-08-09-xtf-ledger.mdFAQ
x-tweet-fetcher is a Claude Code plugin with 1 hand-picked skill for data work, indexed on Flowy. Install it with the command on its page. It includes x-tweet-fetcher. Its skills do not fire on their own yet. Request auto-invocation to have Flowy route them as you prompt. Free and open source.