在X上，如何找到上百万浏览量的帖子呢？以下是通过grok等到的一些简单的方法，仅供参考：
在X（Twitter）上，没有直接的“最小浏览量”（min_views）搜索运算符，但你可以用高级搜索结合高互动指标（点赞、转发、回复）来高效找到浏览量上百万的帖子。因为浏览量（impressions/views）通常与高转发/点赞高度相关——转发越多，传播越广，浏览量就越高。
1.最简单方法：使用X高级搜索（推荐）登录 x.com，在搜索栏输入关键词或留空（搜索全站）。
点击搜索结果页右上角的 “高级搜索”（或直接访问：twitter.com/search-advanced 或 x.com/search-advanced）。
在 “互动” 部分设置过滤器：
最小转发（Minimum reposts）：输入 2000 或更高（百万浏览常伴随数千转发）。
最小点赞（Minimum likes）：输入 10000 或更高。
最小回复（Minimum replies）：可选，输入较高值。
其他有用过滤：时间范围（最近几天/周热门）。
语言（选“中文”或“All”）。
从特定账号（From these accounts）。
点击 搜索，然后切换到 “Top”（热门）或 “Latest”（最新）排序。help.x.com搜索运算符示例（直接在搜索栏输入）：min_retweets:5000 → 至少5000转发的帖子（很可能百万浏览）。
min_faves:20000 → 至少2万点赞。
min_replies:1000 → 高讨论度。
组合示例：AI min_retweets:10000 min_faves:50000（找AI相关百万浏览帖）。
加时间：min_retweets:2000 since:2026-01-01 until:2026-06-15。tweetbinder.com
2. 其他实用方式浏览热门/趋势：直接刷 For you 或 Following 时间线，关注高浏览账号（如大V、新闻号）。很多百万浏览帖会出现在Top中。
第三方工具或 scraper（注意合规）：有些工具支持更精细过滤，但X官方推荐用内置高级搜索。
查看具体帖子：打开任意帖子，底部会显示浏览量（Views），直接判断是否上百万。
自己的Analytics：如果你想分析自己或他人账号的高浏览帖，去 analytics.x.com 查看“顶级推文”。
小贴士百万浏览门槛因话题而异：热点新闻/ meme 容易破百万，普通帖难。
高转发是关键指标——转发能指数级放大浏览。
多尝试不同关键词组合，排序切换“Top”更容易看到爆款。
如果想找特定主题的爆帖，先用普通搜索，再加互动过滤器提纯。
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天神さやか gallery魔法の生活 retweeted
「SKY-SCRAPER」シリーズ
¥22000〜¥35000
弘田一成 @HirotaKazunari
通販本日ぐらいまで。DM下さい。
閉幕しました。
#gallery魔法の生活
#魔法の生活三周年祭
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Marie Rose retweeted
Une matente qui liche une matente vous avez scraper le Québec calisse
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had a 280-line Python script scraping Amazon. proxy rotation, VPS running 24/7, cron jobs emailing me crash alerts i'd stopped reading. every time Amazon changed its HTML i lost a full day rebuilding selectors
6 weeks ago i connected 1 MCP server to Claude Code and stopped writing Python scripts entirely
BrightData Claude Code. describe what you want in plain English, structured data comes back. no proxy config, no CAPTCHA logic, no maintenance tax. the infrastructure layer just vanishes from your workflow
this isn't a faster version of the old thing. it's a different category entirely. web scraping had a real cost and it wasn't the data—it was the access layer. that filter kept data extraction locked behind devs and well-funded teams
remove it and suddenly anyone with Claude Code and a clear intent can run competitor intelligence, lead enrichment, price tracking, brand monitoring. things that used to live behind 80K/year enterprise contracts
the Python scraper era just hit its You Died screen
one CLI command. brightdata add mcp. restart Claude Code. 5,000 free requests per month. enough to run every use case at least once and decide if this belongs in your workflow
i build and ship daily. Claude Code, Codex, whatever ships fastest. SaaS, tools, automations. ⭐ if AI can build it, i've probably broken it first. what works → link in bio
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Dimakatso Ramayan. retweeted
Hmmm guys pls assist me with the tongue scraper craze, is it that guys were not using the tongue cleaner on the back of the tooth brush? Because it looks like we’re trying to do the same thing?
If guys weren’t using it, that would ALSO make a lot of sense to me 😳
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webclaw.io just landed its 6th sponsor: MangoProxy.
Residential, ISP, datacenter, and mobile proxies across 200 locations. That's the access layer a scraper leans on when sites start blocking you.
Use code 0XMASSI for 8% off their ISP static proxies:
mangoproxy.com/?utm_source=g…
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Nemo retweeted
13h
So, I work in a hardware store.
Uhh... They're using a Hyde Tools 331 wallpaper scraper as a spatula. 🤨
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The category people miss: user-fetch bots.
ChatGPT-User · Claude-User · Perplexity-User
These fire when a real person asks the AI to open your page. That's a visitor with intent, not a scraper.
Never block these.
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Small thing you could try that helped a roommate of mine with vaguely similar sounding issue is getting a copper tongue scraper
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