Crawlora
Crawlora: 1873 инструмента структурированных веб-данных — поиск, карты, коммерция, соцсети, финансы
От сообщества: Добавлен пользователем или импортирован; проверьте владельца перед подключениемРаботаетНужен API-ключГлобальныйБесплатноТолько чтение
Что умеет
- Искать отели, товары и заведения по платформам и координатам
- Получать карточки товаров, отзывы и рейтинги магазинов
- Собирать данные бронирований и цен по датам
- Искать бренды, каталоги и предложения по ключевым словам
- Получать структурированные данные вместо сырого HTML
Какие данные видит
Сервер обращается к публичным данным подключённых платформ; доступ по API-ключу с оплатой за успешные запросы.
Нужен ли аккаунт
Нужен API-ключ из настроек сервиса
Crawlora — хостинговый MCP-сервер с почти двумя тысячами инструментов для сбора структурированных данных с сайтов: поиск, карты, электронная коммерция, соцсети, финансы, путешествия, магазины приложений и медиа. Каждый инструмент отдаёт чистый JSON вместо HTML для разбора, без необходимости держать свои прокси, браузеры и парсеры. Первые 2000 запросов в месяц бесплатны, оплата берётся только за успешные ответы.
Как подключить
Как подключить Crawlora к Claude
Адрес сервера, который нужно вставить в настройках Claude:
https://crawlora.run.tools
- Откройте Claude (сайт claude.ai или приложение для компьютера).
- Перейдите в Настройки → Коннекторы (в английском интерфейсе: Settings → Connectors).
- Нажмите Добавить пользовательский коннектор (Add custom connector).
- Вставьте адрес сервера, скопированный ниже, в поле URL удалённого MCP-сервера и нажмите Добавить.
- В чате нажмите + → Коннекторы и включите новый коннектор.
Пользовательские коннекторы доступны на тарифах Free, Pro, Max, Team и Enterprise. На Free можно добавить только один. В Team и Enterprise коннектор сначала добавляет владелец организации в Настройки организации → Коннекторы.
Авторизация
После нажатия Добавить откроется окно входа в сервис. Войдите под своим аккаунтом и подтвердите доступ. Пароль Claude не видит.
Как подключить Crawlora к ChatGPT
Адрес сервера, который нужно вставить в настройках ChatGPT:
https://crawlora.run.tools
- Откройте ChatGPT в браузере (chatgpt.com). Нужен тариф Plus, Pro, Business, Enterprise или Edu.
- Один раз включите режим разработчика: Настройки → Приложения → Дополнительные настройки → Режим разработчика (Settings → Apps → Advanced settings → Developer mode).
- Откройте Настройки → Коннекторы и нажмите Создать (Create).
- Заполните форму: Название (любое), Описание (одна фраза, что делает сервис), URL MCP-сервера (скопируйте ниже).
- В поле Аутентификация выберите OAuth, если сервис требует вход, иначе Нет. Нажмите Создать.
- В новом чате откройте + → Приложения/Коннекторы и включите коннектор.
Название раздела у OpenAI менялось (Connectors → Apps/Plugins). Если пункт называется иначе, ищите «режим разработчика» в настройках. В рабочих пространствах Business/Enterprise администратор должен разрешить пользовательские коннекторы.
Авторизация
При первом использовании ChatGPT откроет окно входа в сервис. Войдите и подтвердите доступ.
Как подключить Crawlora к Cursor
Адрес сервера, который нужно вставить в настройках Cursor:
https://crawlora.run.tools
Быстрый способ: нажмите кнопку Открыть в Cursor ниже, Cursor сам предложит добавить сервер.
Вручную:
- В Cursor откройте Settings → Cursor Settings → MCP и нажмите Add new global MCP server.
- Вставьте JSON, скопированный ниже, в открывшийся файл
~/.cursor/mcp.json(для одного проекта:.cursor/mcp.jsonв корне проекта). - Сохраните файл. Сервер появится в списке MCP; при необходимости пройдите авторизацию по кнопке рядом с ним.
Авторизация
Если сервис требует вход, рядом с сервером в списке MCP появится кнопка авторизации.
Список инструментов сервера (60)
Технические названия из tools/list. Нужны только разработчикам.
| accor_amenities | Accor's anonymous amenity reference catalog with codes, labels, categories, and display order. |
| accor_brands | Accor brand directory with each brand's name, slug, and source URL. |
| accor_catalog_hotels | Search Accor's anonymous hotel catalog by text, hotel code, or coordinate radius; static property metadata only. |
| accor_destination_hotels | Static list of Accor hotels on one destination directory page (world, continent, country, region, department, city, district, or place), optionally narrowed by a theme facet; booking and rates excluded. |
| accor_property | Static public metadata for one Accor hotel code; booking, rates, rooms, reviews, contacts, and precise location are excluded. |
| accor_search | Search Accor's public hotel index with optional destination and static hotel facets; booking, rates, rooms, and reviews excluded. |
| accor_search_details | Resolve an Accor search suggestion identifier to public place coordinates, viewport, radius, and address components. |
| accor_search_suggest | Anonymous Accor destination and hotel typeahead suggestions for a partial query; booking and rates excluded. |
| adidas_product | Adidas product detail for one SKU: name, brand, category, description, pricing (current/standard/sale), images, and every purchasable size variant. product_id is the Adidas SKU (e.g. JI0397), taken from an adidas_search result's products[].id field. An unknown product_id returns a not-found error. |
| adidas_product_review_topics | Adidas review topics for one product model: the topics its customer reviews can be filtered by, commonly satisfaction, comfort, color, purchase, fit, appearance, quality and style. Feed a topics[].topic value back to adidas_product_reviews as its topic argument to read only the reviews about that aspect. The vocabulary is per model rather than a fixed list, so read it per model instead of hard-coding it. model_number is the Adidas model number (e.g. SAMBAU2312) from an adidas_search result's products[].model_number field -- NOT the SKU in products[].id. A model with no reviews, including an unrecognized model_number, returns an empty list rather than an error. The label field is a display form of topic, not translated text: Adidas returns the same English values for every locale here. |
| adidas_product_reviews | Adidas customer reviews for one product model, plus its rating summary: overall rating, star histogram, percentage of reviewers who recommend it, per-attribute averages (Size, Width, Comfort, Quality with their scale labels), and Adidas's AI-generated review digest when one exists. model_number is the Adidas model number (e.g. SAMBAU2312), taken from an adidas_search result's products[].model_number field -- it is NOT the SKU in products[].id. Reviews come 10 per page; optional rating (1-5) filters to one star level, and optional locale (default en_US) selects the summary/label language and the language of the reviews returned. A model with no reviews, including an unrecognized model_number, returns an empty list rather than an error. |
| adidas_search | Search Adidas.com product listings by keyword, or browse a category listing by taxonomy slug (exactly one of query or category is required), with real pagination and sort options (price-low-to-high, newest-to-oldest, top-sellers, price-high-to-low): normalized product summaries (title, price, rating, images, color variants) plus facet filter groups, sort options, and a breadcrumb trail for category browse. An obscure keyword may return Adidas's own fallback results, and requesting a page beyond the available pages or an unknown category returns a not-found error. |
| adidas_store | Adidas store detail for one store id: name, status, phone, description, full address, coordinates, opening hours, and in-store services (e.g. Click and Collect, Free Wi-Fi). store_id is the numeric Adidas store id, taken from an adidas_stores result's stores[].id field. An unknown store_id returns a not-found error. |
| adidas_stores | Adidas physical retail store locator: find the nearest stores to a latitude/longitude, with each store's name, address, phone, coordinates, distance in miles, opening hours, and in-store feature flags. lat and lng are both required. Adidas's own API ignores a caller-supplied radius and returns the nearest ~20 stores ordered by distance; a location with no stores returns an empty list. |
| adidas_suggest | Adidas search-as-you-type suggestions for a partial query: the top matching products (id, title, url, image, price), the same preview Adidas's own search box shows. Adidas has no separate term-autocomplete index, so suggestions are product matches rather than completed phrases. |
| agoda_activities_search | Agoda activities search: tours, attractions, and experiences matching a free-text keyword and/or a city. |
| agoda_activity_detail | Agoda activity detail: title, description, stated duration, categories, and content images. |
| agoda_flights_itinerary_amenities | Agoda flight segment amenities: aircraft type, seat layout, meals, entertainment, and wifi for one or more flight segments from a prior flight search. |
| agoda_flights_search | Agoda one-way flight search: bookable itineraries between two IATA airport codes for a departure date, including per-segment flight number, airline, times, layovers, aircraft type, and price. |
| agoda_flights_search_locations | Agoda flight destination/airport search: resolves a free-text city or airport name into IATA airport codes, with each city's direct and nearby airports. |
| agoda_homes_search | Agoda Homes & Apartments search by city: full listing detail for every matching property whose accommodation type is Apartment. |
| agoda_hotel_detail | Agoda hotel detail: identity, address, guest rating, room count, chain id, description, and short-form policy statements. |
| agoda_hotels_search | Agoda hotel search by city: matching property ids for a numeric Agoda city id, plus a direct link to each property's listing page. |
| airbnb_host | Airbnb host profile. |
| airbnb_host_listings | Airbnb host listings. |
| airbnb_host_reviews | Airbnb host reviews. |
| airbnb_room | Airbnb room details. |
| airbnb_room_calendar | Airbnb room availability calendar. |
| airbnb_room_reviews | Airbnb room reviews. |
| airbnb_search | Airbnb listing search. |
| allbirds_collection_products | Allbirds collection products (pinned to https://www.allbirds.com). |
| allbirds_collections | Allbirds storefront collections (pinned to https://www.allbirds.com). |
| allbirds_page | Allbirds static page detail (pinned to https://www.allbirds.com). |
| allbirds_pages | Allbirds static pages (pinned to https://www.allbirds.com). |
| allbirds_product | Allbirds product detail by handle (pinned to https://www.allbirds.com). |
| allbirds_product_recommendations | Allbirds product recommendations (pinned to https://www.allbirds.com). |
| allbirds_products | Allbirds storefront products (pinned to https://www.allbirds.com). |
| allbirds_search_suggest | Allbirds predictive search suggestions (pinned to https://www.allbirds.com). |
| allbirds_sitemap_urls | Allbirds sitemap URL discovery (pinned to https://www.allbirds.com). |
| allbirds_sitemaps | Allbirds sitemap index (pinned to https://www.allbirds.com). |
| allbirds_store | Allbirds store metadata (pinned to https://www.allbirds.com). |
| amazon_jobs_job | Single Amazon.jobs posting by numeric job id. |
| amazon_jobs_search | Amazon Jobs search: full-text query across amazon.jobs's credential-free public careers JSON, including inline description/qualifications. |
| amazon_product | Amazon product details. |
| amazon_search | Amazon product search. |
| amazon_suggest | Amazon keyword suggestions. |
| anime_airing_schedule | Upcoming anime episode airing schedule. |
| anime_character | Anime/manga character detail by AniList id. |
| anime_character_search | Anime/manga character search. |
| anime_rankings | Anime rankings (filter by season/year/format/genre/status). |
| anime_search | Anime search (AniList). |
| anime_title | Anime detail by AniList id. |
| anime_title_characters | Anime cast (characters) by AniList id. |
| anime_title_recommendations | Anime community recommendations by AniList id. |
| anime_title_staff | Anime staff credits by AniList id. |
| apk_teardown_compare_ownership | Compare two DIFFERENT completed apk-teardown jobs for signals of common ownership -- shared signing certificate, SDK/analytics identifiers, and more. |
| apk_teardown_delete_job | Caller-initiated early purge of an apk-teardown job's record and result, before its normal expiry. |
| apk_teardown_diff | Diff two apk-teardown jobs, typically two versions of the same app. |
| apk_teardown_job_status | Poll an apk-teardown job's status/result by id. |
| apk_teardown_submit | Submit an APK for static teardown analysis by fetching it from file_url server-side -- manifest, permissions, signing, SDK detection, tech stack, locales, and more. Poll apk_teardown_job_status for the result, or set webhook_url for push delivery. Identical submissions (by sha256) within 48h return the existing job instead of re-running analysis. |