# caolvchong-top/twitter_download

推特 图片 视频 爬虫;一键下载

Repository: https://github.com/caolvchong-top/twitter_download
Canonical: https://ross.abutalabs.com/products/twitter_download
Language: Python
License: MIT
License Family: permissive
Last push: 2026-07-28T16:01:07+00:00

## Health v2 (maintenance only)
Score: 75/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 94, release rhythm 35, longevity 100
- inputs: {"age_days": 1471, "days_push": 36, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1045, forks 134 (observed 2026-08-28T04:03:21.391235+00:00)

## What it is
A Python command-line tool that scrapes and downloads images, videos (including GIFs), and text from Twitter/X user timelines. It supports multi-user crawling, retweet exclusion, time-range filters, hashtag-based fetching, advanced search, and comment-section downloads.

## Use cases
- download all images and videos from a twitter user
- bulk download media from twitter accounts
- scrape tweets by hashtag
- download replies from a tweet
- archive a user's tweets as text
- sync new tweets automatically without duplicates

## When to choose
- you want a simple script-based Twitter media downloader with your own account credentials
- you need hashtag, time-range, or comment-section scraping features
- you prefer a lightweight Python tool over browser extensions

## When to avoid
- you need a GUI or hosted service
- you cannot provide a Twitter/X account for API access
- you need large-scale commercial scraping that may violate platform terms

## Facets
- artifact type: cli-tool
- maturity: active
- function: web-scraping, cli, file-upload
- domain: crawlers, social-media, media
- platform: python, cli, cross-platform
- tags: twitter, media-downloader, scraper, images, videos, automation

## Member repositories
- caolvchong-top/twitter_download (main) score 75

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:21.391235+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:02:03.587113+00:00, confidence not recorded.
  - readme: https://github.com/caolvchong-top/twitter_download (fetched 2026-08-28T04:03:21.391235+00:00, sha 404d0ec3e1a3)
- Data as of 2026-08-30T08:39:29.467469+00:00.