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vladkens/twscrape

Python library and CLI for X/Twitter scraping with multi-account rotation and built-in rate-limit handling.

Python ◇ data-collection MIT
★2.8KSTARS
⑂321FORKS
!78ISSUES
🏆#2,641GLOBAL RANK
🔥2DAYS TRENDING
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Momentum

+71

STARS · LAST 30 DAYS

2

PER DAY

#383

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+14+71+180
Per day222
Forks gained+2+6+16

twscrape gained 71 stars in the last 30 days, about 2 a day, and now has 2.8K. It is about 3 years old and has averaged roughly 944 stars a year. It ranks #383 among Python repositories and #2,641 across all languages on GitHubRepo.

Trending Record

twscrape has maintained a continuous presence across global trending indexes, peaking at #4029. Below is the 30-day activity profile:

💡 Overview

twscrape is an open-source project written in Python: Python library and CLI for X/Twitter scraping with multi-account rotation and built-in rate-limit handling.

Engineered for speed, consistency, and developer ease, it solves common hurdles in data-collection, data-mining, scraper. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install twscrape

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

twscrape coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Command-Line Automation

Execute automated build, deployment, and maintenance tasks directly from the terminal.

CI/CD Workflow Integration

Run non-interactive validation checks in GitHub Actions, GitLab CI, or local pre-commit hooks.

Developer Environment Setup

Standardize local engineering workstations with single-binary utility commands.

Scripting & Pipeline Orchestration

Chain complex multi-stage scripts with reliable error reporting and exits.

🚀 Getting Started

1

Install twscrape using your package manager: `pip install twscrape`

2

Initialize your project workspace or configuration file for twscrape.

3

Import twscrape into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `twscrape --help` to verify successful setup.

👍 Strengths

Active community backing with 2,832 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

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👥 Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

vladkens/twscrape is currently ranked #2,641 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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#2,639 cucumber/cucumber-jvm Java ★ 2.8K Compare ↗
#2,640 openstreetmap/openstreetmap-website Ruby ★ 2.8K Compare ↗
#2,641 vladkens/twscrape This Project Python ★ 2.8K
#2,641 numaproj/numaflow Rust ★ 2.8K Compare ↗
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Frequently Asked Questions

What does twscrape do? +

Python library and CLI for X/Twitter scraping with multi-account rotation and built-in rate-limit handling.

What language is twscrape written in? +

The primary language is Python. Topics include: data-collection, data-mining, scraper, scraping, social-media-automation.

Is twscrape actively maintained? +

Yes, the last recorded push was on Oct 5, 2026 with 78 open issues being tracked.

How many stars does twscrape have? +

twscrape has 2,832 stars and 321 forks on GitHub.

How does twscrape rank among GitHub repositories? +

With 2,832 stars, vladkens/twscrape is ranked #2,641 globally across all repositories tracked on GitHubRepo and #383 among Python projects.

What license is twscrape distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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