44
55# 🕷️ ScrapeGraphAI: 只需抓取一次
66
7- [ English] ( https://github.com/VinciGit00/Scrapegraph-ai/blob/main/README.md ) | [ 中文] ( https://github.com/VinciGit00/Scrapegraph-ai/blob/main/docs/chinese.md ) | [ 日本語] ( https://github.com/VinciGit00/Scrapegraph-ai/blob/main/docs/japanese.md )
8- | [ 한국어] ( https://github.com/VinciGit00/Scrapegraph-ai/blob/main/docs/korean.md )
9- | [ Русский] ( https://github.com/VinciGit00/Scrapegraph-ai/blob/main/docs/russian.md ) | [ Türkçe] ( https://github.com/VinciGit00/Scrapegraph-ai/blob/main/docs/turkish.md )
10- | [ Deutsch] ( https://www.readme-i18n.com/ScrapeGraphAI/Scrapegraph-ai?lang=de )
11- | [ Español] ( https://www.readme-i18n.com/ScrapeGraphAI/Scrapegraph-ai?lang=es )
12- | [ français] ( https://www.readme-i18n.com/ScrapeGraphAI/Scrapegraph-ai?lang=fr )
13- | [ Português] ( https://github.com/VinciGit00/Scrapegraph-ai/blob/main/docs/portuguese.md )
7+ [ English] ( ../README.md ) | [ 中文] ( chinese.md ) | [ 日本語] ( japanese.md )
8+ | [ 한국어] ( korean.md )
9+ | [ Русский] ( russian.md ) | [ Türkçe] ( turkish.md )
10+ | [ Deutsch] ( german.md )
11+ | [ Español] ( spanish.md )
12+ | [ français] ( french.md )
13+ | [ Português] ( portuguese.md )
14+ | [ Italiano] ( italian.md )
1415
1516[ ![ PyPI Downloads] ( https://static.pepy.tech/personalized-badge/scrapegraphai?period=total&units=INTERNATIONAL_SYSTEM&left_color=BLACK&right_color=GREEN&left_text=downloads )] ( https://pepy.tech/projects/scrapegraphai )
16- [ ![ linting: pylint] ( https://img.shields.io/badge/linting-pylint-yellowgreen?style=for-the-badge )] ( https://github.com/pylint-dev/pylint )
17- [ ![ Pylint] ( https://img.shields.io/github/actions/workflow/status/VinciGit00/Scrapegraph-ai/code-quality.yml?label=Pylint&logo=github&style=for-the-badge )] ( https://github.com/VinciGit00/Scrapegraph-ai/actions/workflows/code-quality.yml )
18- [ ![ CodeQL] ( https://img.shields.io/github/actions/workflow/status/VinciGit00/Scrapegraph-ai/codeql.yml?label=CodeQL&logo=github&style=for-the-badge )] ( https://github.com/VinciGit00/Scrapegraph-ai/actions/workflows/codeql.yml )
17+
1918[ ![ License: MIT] ( https://img.shields.io/badge/License-MIT-yellow.svg?style=for-the-badge )] ( https://opensource.org/licenses/MIT )
2019[ ![ ] ( https://dcbadge.vercel.app/api/server/gkxQDAjfeX )] ( https://discord.gg/gkxQDAjfeX )
21-
22- [ ![ API Banner] ( https://raw.githubusercontent.com/ScrapeGraphAI/Scrapegraph-ai/main/docs/assets/api_banner.png )] ( https://scrapegraphai.com/?utm_source=github&utm_medium=readme&utm_campaign=api_banner&utm_content=api_banner_image )
23-
2420<p align =" center " >
25- <a href =" https://trendshift.io/repositories/9761 " target =" _blank " ><img src =" https://trendshift.io/api/badge/repositories/9761 " alt =" VinciGit00 %2FScrapegraph-ai | Trendshift" style =" width 250px ; height 55px ;" width =" 250 " height =" 55 " /></a >
21+ <a href =" https://trendshift.io/repositories/15078 " target =" _blank " ><img src =" https://trendshift.io/api/badge/repositories/15078 " alt =" ScrapeGraphAI %2FScrapegraph-ai | Trendshift" style =" width 250px ; height 55px ;" width =" 250 " height =" 55 " /></a >
2622<p align =" center " >
2723
2824[ ScrapeGraphAI] ( https://scrapegraphai.com ) 是一个* 网络爬虫* Python 库，使用大型语言模型和直接图逻辑为网站和本地文档（XML，HTML，JSON，Markdown 等）创建爬取管道。
2925
3026只需告诉库您想提取哪些信息，它将为您完成！
3127
32- <p align =" center " >
33- <img src =" https://raw.githubusercontent.com/VinciGit00/Scrapegraph-ai/main/docs/assets/sgai-hero.png " alt =" ScrapeGraphAI Hero " style =" width 100% ;" >
34- </p >
3528
3629
3730## 🚀 集成
31+
3832ScrapeGraphAI 提供与流行框架和工具的无缝集成，以增强您的抓取能力。无论您使用 Python 还是 Node.js 构建，使用 LLM 框架，还是使用无代码平台，我们都为您提供全面的集成选项。
3933
34+ <p align =" center " >
35+ <img src =" https://raw.githubusercontent.com/ScrapeGraphAI/Scrapegraph-ai/main/docs/assets/sgai-hero.png " alt =" ScrapeGraphAI Hero " style =" width 100% ;" >
36+ </p >
4037您可以在以下[ 链接] ( https://scrapegraphai.com ) 找到更多信息
4138
4239** 集成** ：
@@ -165,7 +162,7 @@ ScrapeGraphAI 的文档可以在[这里](https://docs.scrapegraphai.com/introduc
165162
166163欢迎贡献并加入我们的 Discord 服务器与我们讨论改进和提出建议！
167164
168- 请参阅[ 贡献指南] ( https://github.com/VinciGit00 /Scrapegraph-ai/blob/main/CONTRIBUTING.md ) 。
165+ 请参阅[ 贡献指南] ( https://github.com/ScrapeGraphAI /Scrapegraph-ai/blob/main/CONTRIBUTING.md ) 。
169166
170167[ ![ My Skills] ( https://skillicons.dev/icons?i=discord )] ( https://discord.gg/uJN7TYcpNa )
171168[ ![ My Skills] ( https://skillicons.dev/icons?i=linkedin )] ( https://www.linkedin.com/company/scrapegraphai/ )
@@ -180,22 +177,22 @@ ScrapeGraphAI 的文档可以在[这里](https://docs.scrapegraphai.com/introduc
180177
181178| SDK | 语言 | GitHub 链接 |
182179| -----------| ----------| -----------------------------------------------------------------------------|
183- | Python SDK | Python | [ scrapegraph-py] ( https://github. com/ScrapeGraphAI/scrapegraph-sdk/tree/main/scrapegraph-py ) |
184- | Node.js SDK | Node.js | [ scrapegraph-js] ( https://github. com/ScrapeGraphAI/scrapegraph-sdk/tree/main/scrapegraph-js ) |
180+ | Python SDK | Python | [ scrapegraph-py] ( https://docs.scrapegraphai. com/sdks/python ) |
181+ | Node.js SDK | Node.js | [ scrapegraph-js] ( https://docs.scrapegraphai. com/sdks/javascript ) |
185182
186183官方 API 文档可以在[ 这里] ( https://docs.scrapegraphai.com/introduction ) 找到。
187184
188185## 🔥 基准测试
189186
190- 根据 Firecrawl 基准测试 [ Firecrawl benchmark] ( https://github .com/firecrawl/scrape-evals/pull/3 ) ，ScrapeGraph 是市场上最好的抓取工具！
187+ 根据 Firecrawl 基准测试 [ Firecrawl benchmark] ( https://scrapegraphai .com/compare/firecrawl ) ，ScrapeGraph 是市场上最好的抓取工具！
191188
192189![ here] ( assets/histogram.png )
193190
194191## 📈 遥测
195192我们收集匿名使用指标以增强我们包的质量和用户体验。这些数据帮助我们确定改进的优先级并确保兼容性。如果您希望退出，请设置环境变量 SCRAPEGRAPHAI_TELEMETRY_ENABLED=false。有关更多信息，请参阅[ 这里] ( https://docs.scrapegraphai.com/introduction ) 的文档。
196193
197194## ❤️ 贡献者
198- [ ![ Contributors] ( https://contrib.rocks/image?repo=VinciGit00 /Scrapegraph-ai )] ( https://github.com/VinciGit00 /Scrapegraph-ai/graphs/contributors )
195+ [ ![ Contributors] ( https://contrib.rocks/image?repo=ScrapeGraphAI /Scrapegraph-ai )] ( https://github.com/ScrapeGraphAI /Scrapegraph-ai/graphs/contributors )
199196
200197## 🎓 引用
201198如果您将我们的库用于研究目的，请使用以下参考文献引用我们：
@@ -204,7 +201,7 @@ ScrapeGraphAI 的文档可以在[这里](https://docs.scrapegraphai.com/introduc
204201 author = {Lorenzo Padoan, Marco Vinciguerra},
205202 title = {Scrapegraph-ai},
206203 year = {2024},
207- url = {https://github.com/VinciGit00 /Scrapegraph-ai},
204+ url = {https://github.com/ScrapeGraphAI /Scrapegraph-ai},
208205 note = {一个利用大型语言模型进行爬取的 Python 库}
209206 }
210207```
@@ -217,7 +214,7 @@ ScrapeGraphAI 的文档可以在[这里](https://docs.scrapegraphai.com/introduc
217214
218215## 📜 许可证
219216
220- ScrapeGraphAI 采用 MIT 许可证。更多信息请查看 [ LICENSE] ( https://github.com/VinciGit00 /Scrapegraph-ai/blob/main/LICENSE ) 文件。
217+ ScrapeGraphAI 采用 MIT 许可证。更多信息请查看 [ LICENSE] ( https://github.com/ScrapeGraphAI /Scrapegraph-ai/blob/main/LICENSE ) 文件。
221218
222219## 鸣谢
223220
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