Scrapezy
A Model Context Protocol server for Scrapezy that enables AI models to extract structured data from websites.
MCP-сервер · от Scrapezy
Коротко
Scrapezy: MCP-сервер, издатель Scrapezy. Витрин, которые мы читаем и где он опубликован: 1 (Docker MCP Catalog). Мы впервые увидели его 2026-10-11 и с тех пор изменений не фиксировали. Данные нашего прохода по витринам на 2026-10-12.
Что просит
- Работает на вашем компьютере
- Секретов: 1
- Настроек: 1
- Инструментов: 1
Объявляет инструментов: 1. По данным витрин: Docker MCP Catalog.
extract-structured-data
Что объявляет, просит и запускает, полностью
Устанавливайте плагины только от разработчиков, которым доверяете. Мы показываем то, что публикуют витрины, и не проверяем плагины.
Подключить
Команды и конфигурации собраны только из того, что объявляют витрины. Мы не запускаем их за вас и не проверяем плагины.
Как локальный MCP-сервер: образ Docker
Собрано из того, что объявляет Docker MCP Catalog.
claude mcp add --env "SCRAPEZY_API_KEY=<YOUR_SCRAPEZY_API_KEY>" --transport stdio scrapezy -- docker run -i --rm -e SCRAPEZY_API_KEY mcp/scrapezy[mcp_servers.scrapezy]
command = "docker"
args = ["run", "-i", "--rm", "-e", "SCRAPEZY_API_KEY", "mcp/scrapezy"]
[mcp_servers.scrapezy.env]
SCRAPEZY_API_KEY = "<YOUR_SCRAPEZY_API_KEY>"{
"mcpServers": {
"scrapezy": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"SCRAPEZY_API_KEY",
"mcp/scrapezy"
],
"env": {
"SCRAPEZY_API_KEY": "<YOUR_SCRAPEZY_API_KEY>"
}
}
}
}docker run -i --rm -e "SCRAPEZY_API_KEY=<YOUR_SCRAPEZY_API_KEY>" mcp/scrapezyЗамените значения в угловых скобках своими. Мы показываем имена настроек, но не значения.
Аргументы запуска мы не храним. Если серверу они нужны, их называет его собственная документация.
Где опубликован
| Витрина | Статус | Версия | Числа | Проверен | Впервые замечен |
|---|---|---|---|---|---|
| Docker MCP Catalog (Открыть на Docker Hub) | Опубликован | sha256:7a19e9b36500 | Форки (GitHub): 7 Загрузки (Docker Hub): 40 825 Звёзды (Docker Hub): 3 Звёзды (GitHub): 14 |
Не помечен |
Каждое число принадлежит своей витрине и никогда не складывается с числами других витрин. Если витрина число не публикует, мы его не показываем: нет числа не значит ноль.
Что менялось
С тех пор как мы следим за плагином, ничего не менялось.
Похожие плагины
Продукты, чьи собственные названия, описания, инструменты и скиллы ближе всего по смыслу к этому, на всех витринах, которые мы читаем. Близость упорядочена только внутри этого списка.
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Тот же вопрос к каждой витрине по отдельности: есть ли там аналог этого плагина?
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Есть на витрине Cursor: cursor/plugins (5)
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Есть на витрине Docker MCP Catalog (5)
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Есть на витрине Official MCP Registry (5)
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Turn any website or API into structured JSON with LLM-authored declarative scraping configs.
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Scrape any website, extract structured data, and collect web content at scale with AI agents
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Turn any website into structured JSON data matching your custom schema.
-
AI web extraction: send URLs + a JSON Schema, get clean structured data. Pay-per-use via x402.
-
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Найдено по смыслу, а не по общему коду или репозиторию: похожие плагины остаются разными продуктами, и это не обзор и не рекомендация.
Сравнение рядом
Это ваш плагин?
Докажите, что поддерживаете плагин: файлом в его репозитории, файлом на вашем домене или DNS-записью. Вы будете получать уведомления, когда витрина добавит плагин, снимет его, изменит отметку verified или список того, что он просит, и сможете поставить его удалённый endpoint на мониторинг как веб-сервис.
Данные витрины Docker MCP Catalog. Числа взяты из наших регулярных обходов витрин, последняя проверка . Контакты издателей плагинов мы не публикуем.