---
id: scweet
version: "5.3"
license: MIT
license_treatment: permissive
maintenance: active
---

# Scweet — Scrape tweets, profiles, followers and more from Twitter/X — no API key needed

License: permissive · Maintenance: active · Downloads: 141.0K/mo

## What it is and what it does

Scweet is a Python library that scrapes public tweets, user profiles, followers, and following lists from Twitter/X by calling the platform's internal GraphQL API. It authenticates using browser cookies (auth_token) rather than an official API key, making it accessible without a developer account. The library stores credentials and account state in a local SQLite database (scweet_state.db), supports both synchronous and asynchronous APIs, and can save results to CSV or JSON.

It's designed for researchers, data collectors, and developers who need to extract Twitter/X data at scale. The package includes built-in support for multiple accounts, per-account proxies, resume functionality for interrupted scrapes, and a CLI interface. It depends on sqlmodel and SQLAlchemy for state management, curl_cffi for HTTP requests, and pydantic for data validation. The library can also run hosted on Apify with no local setup required.

Use it for:

- Search and archive tweets by keyword, hashtag, date range, or engagement filters without an official API key.
- Download a user's full tweet history or profile metadata for analysis or backup.
- Collect follower/following lists at scale using multiple dedicated accounts with rotating proxies.
- Resume interrupted large-scale scrapes from a checkpoint without losing progress.
- Run scraping jobs via CLI or Python API with automatic CSV/JSON export.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Scrape tweets, profiles, followers, and user data from Twitter/X using the platform's internal GraphQL API, authenticated with browser cookies instead of an official API key.

Yes, if you need to scrape Twitter/X data and don't have or want an official API key. The package is actively maintained, has no known vulnerabilities, and works as of June 2026. Install it for research, archival, or data collection tasks. Caveat: requires dedicated X accounts (never use personal accounts), browser cookie extraction, and likely proxies for any serious volume; X's undocumented endpoints can break after platform changes.

## Install

pip install scweet
uv add scweet
poetry add scweet

## Installing Scweet

Before you install: Low friction — pure Python wheel with six runtime dependencies (python-dotenv, sqlmodel, SQLAlchemy, curl_cffi, XClientTransaction, pydantic). Actively maintained as of June 2026 with 1594 repository stars and recent releases.

License in practice: MIT license (permissive) — you can use, modify, and distribute Scweet freely in commercial and private projects with minimal restrictions.

Quickstart:

pip install -U Scweet

from Scweet import Scweet

s = Scweet(auth_token="YOUR_AUTH_TOKEN")
tweets = s.search("bitcoin", since="2025-01-01", limit=500, save=True)

Requires a valid X/Twitter auth_token extracted from browser cookies (F12 → Application → Cookies → x.com → auth_token); username/password login is not supported.

Verify before relying:

- Whether curl_cffi and XClientTransaction are stable, well-maintained dependencies or carry their own risk profile.
- Current rate limits and typical throughput per account per day in production use.
- Reliability of the self-healing manifest scrape feature (manifest_scrape_on_init=True) after X platform changes.

## Package facts

- License: MIT (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 141.0K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

twitter scraper without api key, x.com tweet scraper, scrape twitter followers, twitter data collection, graphql twitter scraping, cookie-based twitter scraper, tweet search and download, web-scraping, social-media-data, graphql-client

[View on SkillFed](https://skillfed.io/packages/scweet) · [View on PyPI](https://pypi.org/project/scweet/)