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chore: migrate repository to standard knowledge base layout
This commit is contained in:
@@ -0,0 +1,148 @@
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---
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name: twscrape
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description: "twscrape Twitter/X scraping skill: account pool setup, async search, user/tweet collection, CLI usage, proxy configuration, and rate-limit troubleshooting. Use when extracting public Twitter/X data with twscrape."
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---
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# twscrape Skill
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Use this skill to build or debug `twscrape` workflows for public Twitter/X data extraction with account rotation, async collection, CLI commands, and proxy-aware operation.
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## When to Use This Skill
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Trigger when any of these applies:
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- Scraping Twitter/X search results, profiles, followers, timelines, replies, retweeters, media, or trends with `twscrape`.
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- Setting up account pools, cookies, login flows, email verification, or account rotation.
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- Choosing between Python async API and the `twscrape` CLI.
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- Diagnosing rate limits, empty results, login failures, proxy failures, or suspended accounts.
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- Exporting normalized tweet/user data for monitoring, analytics, research, or archival pipelines.
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## Not For / Boundaries
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- Not for bypassing access controls, private content, paid-only data, or platform restrictions.
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- Not for guaranteed high-volume scraping; account health, platform changes, and endpoint limits can invalidate assumptions.
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- Do not place real Twitter/X passwords, cookies, email passwords, or proxy credentials in examples, commits, logs, or issue reports.
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- Required inputs: target query/user/tweet/list, collection limit, output format, account source, proxy requirements, and compliance constraints.
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- If behavior differs from these notes, verify against `references/` and the upstream repository before changing production collectors.
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## Quick Reference
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### Common Patterns
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**Install the library**
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```bash
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pip install twscrape
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```
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**Create an API client and add a cookie-backed account**
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```python
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from twscrape import API
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api = API("accounts.db")
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await api.pool.add_account(
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"username",
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"password",
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"email@example.com",
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"email-password",
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cookies="ct0=...; auth_token=...",
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)
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```
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**Login all configured accounts**
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```python
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await api.pool.login_all()
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```
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**Search recent tweets**
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```python
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from twscrape import gather
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tweets = await gather(api.search("python lang:en", limit=50))
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```
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**Fetch a user then collect timeline data**
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```python
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user = await api.user_by_login("xdevelopers")
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tweets = await gather(api.user_tweets(user.id, limit=100))
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```
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**Collect followers or following**
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```python
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followers = await gather(api.followers(user.id, limit=100))
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following = await gather(api.following(user.id, limit=100))
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```
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**Inspect tweet details and replies**
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```python
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tweet = await api.tweet_details(1234567890)
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replies = await gather(api.tweet_replies(tweet.id, limit=50))
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```
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**Use the CLI for a small search**
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```bash
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twscrape search "python lang:en" --limit=20
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```
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**Manage accounts from the CLI**
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```bash
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twscrape add_accounts accounts.txt username:password:email:email_password
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twscrape login_accounts --manual
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twscrape accounts
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```
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**Set a global proxy**
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```bash
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export TWS_PROXY=socks5://user:pass@127.0.0.1:1080
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twscrape search "bitcoin" --limit=20
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```
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**Enable debug logging**
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```python
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from twscrape.logger import set_log_level
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set_log_level("DEBUG")
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```
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## Examples
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### Example 1: Search Export
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- Input: query `python lang:en`, limit `50`, output JSON Lines.
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- Steps:
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1. Confirm at least one healthy account with `twscrape accounts`.
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2. Use `await gather(api.search(query, limit=50))`.
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3. Serialize selected fields such as `id`, `date`, `user.username`, and `rawContent`.
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- Expected output / acceptance: a JSONL file with up to 50 tweet records and no credentials in logs.
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### Example 2: User Monitoring
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- Input: username `xdevelopers`, timeline limit `100`.
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- Steps:
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1. Resolve the account with `await api.user_by_login(username)`.
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2. Collect `api.user_tweets(user.id, limit=100)`.
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3. Store tweet IDs and timestamps so later runs can deduplicate.
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- Expected output / acceptance: user metadata plus a deduplicated timeline batch.
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### Example 3: Rate-Limit Triage
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- Input: collector returns no data or waits indefinitely.
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- Steps:
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1. Run `twscrape accounts` and identify locked, suspended, or rate-limited accounts.
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2. Enable debug logging and retry the smallest failing query.
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3. Add healthy accounts or wait for endpoint-specific reset before scaling up.
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- Expected output / acceptance: the failing mode is classified as account health, query syntax, proxy/network, or platform limit.
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## References
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- `references/index.md`: navigation for the local twscrape reference set.
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- `references/installation.md`: installation and dependency notes.
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- `references/account_management.md`: account pool, login, and rotation behavior.
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- `references/api_methods.md`: Python API method reference.
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- `references/cli_usage.md`: command-line usage.
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- `references/proxy_config.md`: proxy configuration and precedence.
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- `references/examples.md`: longer code examples and extraction patterns.
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## Maintenance
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- Sources: local `references/` extracted from upstream twscrape material and the upstream repository noted there.
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- Last updated: 2026-04-28
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- Known limits: Twitter/X endpoints and account policies change without notice; validate live collectors against a small sample before large runs.
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@@ -0,0 +1,14 @@
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# twscrape:账号管理(参考)
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本文件为 `twscrape` 的账号管理参考页。
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## 推荐阅读顺序
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1. `skills/twscrape/references/installation.md`
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2. `skills/twscrape/SKILL.md`(包含账号池、登录、轮换等完整示例)
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3. `skills/twscrape/references/examples.md`
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## 入口
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- 账号添加/登录的核心示例:`skills/twscrape/SKILL.md`
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# twscrape:API 方法(参考)
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本文件为 `twscrape` 的 API 方法参考页(仓库内精简版)。
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## 入口
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- 完整方法速查与示例:`skills/twscrape/SKILL.md`
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# twscrape:CLI 用法(参考)
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本文件为 `twscrape` 的命令行使用参考页。
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## 入口
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- CLI 相关命令示例:`skills/twscrape/SKILL.md`
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@@ -0,0 +1,327 @@
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# twscrape Examples
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## Basic Search Example
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```python
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import asyncio
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from twscrape import API, gather
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async def main():
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api = API()
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# Search for tweets
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tweets = await gather(api.search("elon musk", limit=20))
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for tweet in tweets:
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print(f"{tweet.user.username}: {tweet.rawContent}")
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asyncio.run(main())
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```
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## User Profile Analysis
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```python
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async def analyze_user(username):
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api = API()
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# Get user info
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user = await api.user_by_login(username)
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print(f"User: {user.displayname}")
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print(f"Followers: {user.followersCount}")
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print(f"Following: {user.followingCount}")
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# Get recent tweets
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tweets = await gather(api.user_tweets(user.id, limit=50))
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print(f"Recent tweets: {len(tweets)}")
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return user, tweets
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```
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## Follower Network Collection
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```python
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async def collect_network(user_id):
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api = API()
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# Collect followers
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followers = await gather(api.followers(user_id, limit=100))
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print(f"Collected {len(followers)} followers")
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# Collect following
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following = await gather(api.following(user_id, limit=100))
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print(f"Collected {len(following)} following")
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return followers, following
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```
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## Advanced Search with Filters
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```python
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async def advanced_search():
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api = API()
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# Search with language filter
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en_tweets = await gather(api.search("python lang:en", limit=20))
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# Search with date filter
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recent_tweets = await gather(api.search("AI since:2024-01-01", limit=20))
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# Search from specific user
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user_tweets = await gather(api.search("from:elonmusk", limit=20))
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# Search with media
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media_tweets = await gather(api.search("cats filter:media", limit=20))
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return en_tweets, recent_tweets, user_tweets, media_tweets
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```
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## Tweet Thread Analysis
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```python
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async def analyze_thread(tweet_id):
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api = API()
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# Get tweet details
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tweet = await api.tweet_details(tweet_id)
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print(f"Tweet: {tweet.rawContent}")
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# Get replies
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replies = await gather(api.tweet_replies(tweet_id, limit=100))
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print(f"Replies: {len(replies)}")
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# Get retweeters
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retweeters = await gather(api.retweeters(tweet_id, limit=100))
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print(f"Retweeters: {len(retweeters)}")
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return tweet, replies, retweeters
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```
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## Batch User Processing
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```python
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async def process_multiple_users(usernames):
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api = API()
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results = []
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tasks = []
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for username in usernames:
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task = api.user_by_login(username)
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tasks.append(task)
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users = await asyncio.gather(*tasks)
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for user in users:
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if user:
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print(f"Processed: {user.displayname}")
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results.append(user)
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return results
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# Usage
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usernames = ["elonmusk", "xdevelopers", "github"]
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users = await process_multiple_users(usernames)
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```
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## Real-time Monitoring
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```python
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async def monitor_keywords(keywords, limit=100):
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api = API()
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for keyword in keywords:
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print(f"\\nMonitoring: {keyword}")
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async for tweet in api.search(keyword, limit=limit):
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print(f"[{tweet.date}] @{tweet.user.username}: {tweet.rawContent[:100]}")
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# Process tweet
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if tweet.likeCount > 1000:
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print(f" -> Popular tweet! {tweet.likeCount} likes")
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# Usage
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await monitor_keywords(["python", "javascript", "ai"], limit=50)
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```
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## Data Export to JSON
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```python
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import json
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async def export_user_data(username, output_file):
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api = API()
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user = await api.user_by_login(username)
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tweets = await gather(api.user_tweets(user.id, limit=100))
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data = {
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'user': user.dict(),
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'tweets': [tweet.dict() for tweet in tweets]
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}
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with open(output_file, 'w', encoding='utf-8') as f:
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json.dump(data, f, indent=2, ensure_ascii=False)
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print(f"Exported to {output_file}")
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# Usage
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await export_user_data("elonmusk", "elon_data.json")
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```
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## Trends Analysis
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```python
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async def analyze_trends():
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api = API()
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# Get different trend categories
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news_trends = await gather(api.trends("news"))
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sport_trends = await gather(api.trends("sport"))
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print("News Trends:")
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for trend in news_trends[:10]:
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print(f" - {trend}")
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print("\\nSport Trends:")
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for trend in sport_trends[:10]:
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print(f" - {trend}")
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return news_trends, sport_trends
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```
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## Using Context Manager for Early Termination
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```python
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from contextlib import aclosing
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async def find_specific_tweet(query, target_id):
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api = API()
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async with aclosing(api.search(query)) as gen:
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async for tweet in gen:
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if tweet.id == target_id:
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print(f"Found target tweet: {tweet.rawContent}")
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return tweet
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if tweet.id < target_id:
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print("Target not found in results")
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break
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return None
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```
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## Account Setup Example
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```python
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async def setup_accounts():
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api = API()
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# Add accounts with cookies (more stable)
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cookies = "abc=12; ct0=xyz"
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await api.pool.add_account(
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"user1",
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"password1",
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"user1@example.com",
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"mail_password1",
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cookies=cookies
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)
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# Add account with credentials
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await api.pool.add_account(
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"user2",
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"password2",
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"user2@example.com",
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"mail_password2"
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)
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# Login all accounts
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await api.pool.login_all()
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print("Accounts setup complete")
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```
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||||
## Proxy Configuration Example
|
||||
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```python
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async def use_proxy():
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# Global proxy
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proxy = "http://user:pass@proxy.example.com:8080"
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api = API(proxy=proxy)
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|
||||
# Make requests through proxy
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user = await api.user_by_login("elonmusk")
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print(f"User: {user.displayname}")
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|
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# Change proxy dynamically
|
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api.proxy = "socks5://user:pass@127.0.0.1:1080"
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tweets = await gather(api.search("python", limit=10))
|
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|
||||
# Disable proxy
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||||
api.proxy = None
|
||||
more_tweets = await gather(api.search("javascript", limit=10))
|
||||
```
|
||||
|
||||
## Error Handling
|
||||
|
||||
```python
|
||||
async def safe_user_lookup(username):
|
||||
api = API()
|
||||
|
||||
try:
|
||||
user = await api.user_by_login(username)
|
||||
return user
|
||||
except Exception as e:
|
||||
print(f"Error fetching user {username}: {e}")
|
||||
return None
|
||||
|
||||
async def bulk_lookup_with_errors(usernames):
|
||||
results = []
|
||||
for username in usernames:
|
||||
user = await safe_user_lookup(username)
|
||||
if user:
|
||||
results.append(user)
|
||||
|
||||
return results
|
||||
```
|
||||
|
||||
## Complete Workflow Example
|
||||
|
||||
```python
|
||||
import asyncio
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||||
import json
|
||||
from twscrape import API, gather
|
||||
from twscrape.logger import set_log_level
|
||||
|
||||
async def complete_workflow():
|
||||
# Setup
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||||
api = API("my_data.db")
|
||||
set_log_level("INFO")
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||||
|
||||
# Add accounts
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||||
await api.pool.add_account(
|
||||
"user1", "pass1", "email1@example.com", "mail_pass1",
|
||||
cookies="cookie_string_here"
|
||||
)
|
||||
|
||||
# Search and analyze
|
||||
query = "python programming"
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||||
tweets = await gather(api.search(query, limit=100))
|
||||
|
||||
# Extract user data
|
||||
users = {}
|
||||
for tweet in tweets:
|
||||
if tweet.user.username not in users:
|
||||
users[tweet.user.username] = {
|
||||
'user': tweet.user.dict(),
|
||||
'tweets': []
|
||||
}
|
||||
users[tweet.user.username]['tweets'].append(tweet.dict())
|
||||
|
||||
# Export results
|
||||
with open('results.json', 'w', encoding='utf-8') as f:
|
||||
json.dump(users, f, indent=2, ensure_ascii=False)
|
||||
|
||||
print(f"Processed {len(tweets)} tweets from {len(users)} users")
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(complete_workflow())
|
||||
```
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||||
@@ -0,0 +1,39 @@
|
||||
# twscrape Reference Documentation
|
||||
|
||||
## Overview
|
||||
|
||||
This directory contains detailed reference documentation for twscrape, a Python library for scraping Twitter/X data.
|
||||
|
||||
## Reference Files
|
||||
|
||||
### Core Documentation
|
||||
- **[installation.md](installation.md)** - Installation instructions and dependencies
|
||||
- **[api_methods.md](api_methods.md)** - Complete API method reference with parameters
|
||||
- **[account_management.md](account_management.md)** - Account setup, login, and rotation
|
||||
- **[cli_usage.md](cli_usage.md)** - Command-line interface guide
|
||||
- **[proxy_config.md](proxy_config.md)** - Proxy configuration and setup
|
||||
- **[examples.md](examples.md)** - Practical code examples and patterns
|
||||
|
||||
## Quick Navigation
|
||||
|
||||
### Getting Started
|
||||
1. Read [installation.md](installation.md) for setup
|
||||
2. Review [account_management.md](account_management.md) for adding accounts
|
||||
3. Check [examples.md](examples.md) for quick start code
|
||||
|
||||
### API Reference
|
||||
- For programmatic usage: [api_methods.md](api_methods.md)
|
||||
- For command-line usage: [cli_usage.md](cli_usage.md)
|
||||
|
||||
### Advanced Topics
|
||||
- Proxy configuration: [proxy_config.md](proxy_config.md)
|
||||
- Rate limit handling: See [api_methods.md](api_methods.md#rate-limits)
|
||||
|
||||
## Key Features
|
||||
|
||||
- ✅ Async/await support for parallel operations
|
||||
- ✅ Automatic account rotation
|
||||
- ✅ Session persistence
|
||||
- ✅ Multiple proxy support
|
||||
- ✅ SNScrape-compatible data models
|
||||
- ✅ Both CLI and Python API
|
||||
@@ -0,0 +1,66 @@
|
||||
# Installation
|
||||
|
||||
## Standard Installation
|
||||
|
||||
```bash
|
||||
pip install twscrape
|
||||
```
|
||||
|
||||
## Development Version
|
||||
|
||||
Install the latest development version directly from GitHub:
|
||||
|
||||
```bash
|
||||
pip install git+https://github.com/vladkens/twscrape.git
|
||||
```
|
||||
|
||||
## Requirements
|
||||
|
||||
- Python 3.7+
|
||||
- asyncio support
|
||||
- Internet connection for Twitter/X access
|
||||
|
||||
## Dependencies
|
||||
|
||||
The library automatically installs required dependencies:
|
||||
- `httpx` - Async HTTP client
|
||||
- `aiosqlite` - Async SQLite database
|
||||
- Additional dependencies as specified in setup.py
|
||||
|
||||
## Verification
|
||||
|
||||
Verify installation:
|
||||
|
||||
```bash
|
||||
# Check CLI is available
|
||||
twscrape --help
|
||||
|
||||
# Check Python import works
|
||||
python -c "from twscrape import API; print('OK')"
|
||||
```
|
||||
|
||||
## Upgrading
|
||||
|
||||
```bash
|
||||
pip install --upgrade twscrape
|
||||
```
|
||||
|
||||
## Uninstallation
|
||||
|
||||
```bash
|
||||
pip uninstall twscrape
|
||||
```
|
||||
|
||||
## Database Location
|
||||
|
||||
By default, twscrape creates `accounts.db` in your current working directory. You can specify a custom location:
|
||||
|
||||
```python
|
||||
api = API("path/to/custom.db")
|
||||
```
|
||||
|
||||
Or via CLI:
|
||||
|
||||
```bash
|
||||
twscrape --db path/to/custom.db <command>
|
||||
```
|
||||
@@ -0,0 +1,8 @@
|
||||
# twscrape:代理配置(参考)
|
||||
|
||||
本文件为 `twscrape` 的代理配置参考页。
|
||||
|
||||
## 入口
|
||||
|
||||
- 代理参数示例:`skills/twscrape/SKILL.md`
|
||||
|
||||
Reference in New Issue
Block a user