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docs: update benchmarks with the current results
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‎docs/README.md‎

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@@ -244,23 +244,24 @@ Scrapling isn't just powerful—it's also blazing fast, and the updates since ve
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| # | Library | Time (ms) | vs Scrapling |
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|---|:-----------------:|:---------:|:------------:|
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| 1 | Scrapling | 1.92 | 1.0x |
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| 2 | Parsel/Scrapy | 1.99 | 1.036x |
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| 3 | Raw Lxml | 2.33 | 1.214x |
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| 4 | PyQuery | 20.61 | ~11x |
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| 5 | Selectolax | 80.65 | ~42x |
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| 6 | BS4 with Lxml | 1283.21 | ~698x |
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| 7 | MechanicalSoup | 1304.57 | ~679x |
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| 8 | BS4 with html5lib | 3331.96 | ~1735x |
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| 1 | Scrapling | 1.99 | 1.0x |
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| 2 | Parsel/Scrapy | 2.01 | 1.01x |
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| 3 | Raw Lxml | 2.5 | 1.256x |
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| 4 | PyQuery | 22.93 | ~11.5x |
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| 5 | Selectolax | 80.57 | ~40.5x |
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| 6 | BS4 with Lxml | 1541.37 | ~774.6x |
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| 7 | MechanicalSoup | 1547.35 | ~777.6x |
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| 8 | BS4 with html5lib | 3410.58 | ~1713.9x |
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### Element Similarity & Text Search Performance
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Scrapling's adaptive element finding capabilities significantly outperform alternatives:
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| Library | Time (ms) | vs Scrapling |
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|-------------|:---------:|:------------:|
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| Scrapling | 1.87 | 1.0x |
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| AutoScraper | 10.24 | 5.476x |
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| Scrapling | 2.46 | 1.0x |
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| AutoScraper | 13.3 | 5.407x |
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> All benchmarks represent averages of 100+ runs. See [benchmarks.py](https://github.com/D4Vinci/Scrapling/blob/main/benchmarks.py) for methodology.

‎docs/README_AR.md‎

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@@ -233,24 +233,25 @@ Scrapling ليس قوياً فقط - إنه أيضاً سريع بشكل مذه
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### اختبار سرعة استخراج النص (5000 عنصر متداخل)
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| # | المكتبة | الوقت (ms) | vs Scrapling |
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|---|:-----------------:|:---------:|:------------:|
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| 1 | Scrapling | 1.92 | 1.0x |
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| 2 | Parsel/Scrapy | 1.99 | 1.036x |
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| 3 | Raw Lxml | 2.33 | 1.214x |
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| 4 | PyQuery | 20.61 | ~11x |
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| 5 | Selectolax | 80.65 | ~42x |
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| 6 | BS4 with Lxml | 1283.21 | ~698x |
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| 7 | MechanicalSoup | 1304.57 | ~679x |
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| 8 | BS4 with html5lib | 3331.96 | ~1735x |
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|---|:-----------------:|:----------:|:------------:|
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| 1 | Scrapling | 1.99 | 1.0x |
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| 2 | Parsel/Scrapy | 2.01 | 1.01x |
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| 3 | Raw Lxml | 2.5 | 1.256x |
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| 4 | PyQuery | 22.93 | ~11.5x |
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| 5 | Selectolax | 80.57 | ~40.5x |
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| 6 | BS4 with Lxml | 1541.37 | ~774.6x |
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| 7 | MechanicalSoup | 1547.35 | ~777.6x |
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| 8 | BS4 with html5lib | 3410.58 | ~1713.9x |
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### أداء تشابه العناصر والبحث النصي
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قدرات العثور على العناصر التكيفية لـ Scrapling تتفوق بشكل كبير على البدائل:
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| المكتبة | الوقت (ms) | vs Scrapling |
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|-------------|:---------:|:------------:|
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| Scrapling | 1.87 | 1.0x |
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| AutoScraper | 10.24 | 5.476x |
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| المكتبة | الوقت (ms) | vs Scrapling |
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|-------------|:----------:|:------------:|
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| Scrapling | 2.46 | 1.0x |
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| AutoScraper | 13.3 | 5.407x |
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> تمثل جميع المعايير متوسطات أكثر من 100 تشغيل. انظر [benchmarks.py](https://github.com/D4Vinci/Scrapling/blob/main/benchmarks.py) للمنهجية.

‎docs/README_CN.md‎

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@@ -232,25 +232,26 @@ Scrapling不仅功能强大——它还速度极快，自0.3版本以来的更
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### 文本提取速度测试（5000个嵌套元素）
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| # | 库 | 时间(ms) | vs Scrapling |
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|---|:--------------:|:--------:|:------------:|
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| 1 | Scrapling | 1.92 | 1.0x |
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| 2 | Parsel/Scrapy | 1.99 | 1.036x |
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| 3 | Raw Lxml | 2.33 | 1.214x |
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| 4 | PyQuery | 20.61 | ~11x |
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| 5 | Selectolax | 80.65 | ~42x |
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| 6 | BS4 with Lxml | 1283.21 | ~698x |
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| 7 | MechanicalSoup | 1304.57 | ~679x |
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| 8 |BS4 with html5lib| 3331.96 | ~1735x |
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| # | 库 | 时间(ms) | vs Scrapling |
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|---|:-----------------:|:-------:|:------------:|
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| 1 | Scrapling | 1.99 | 1.0x |
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| 2 | Parsel/Scrapy | 2.01 | 1.01x |
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| 3 | Raw Lxml | 2.5 | 1.256x |
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| 4 | PyQuery | 22.93 | ~11.5x |
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| 5 | Selectolax | 80.57 | ~40.5x |
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| 6 | BS4 with Lxml | 1541.37 | ~774.6x |
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| 7 | MechanicalSoup | 1547.35 | ~777.6x |
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| 8 | BS4 with html5lib | 3410.58 | ~1713.9x |
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### 元素相似性和文本搜索性能
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Scrapling的自适应元素查找功能明显优于替代方案：
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| 库 | 时间(ms) | vs Scrapling |
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|-------------|:--------:|:------------:|
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| Scrapling | 1.87 | 1.0x |
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| AutoScraper | 10.24 | 5.476x |
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| 库 | 时间(ms) | vs Scrapling |
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|-------------|:------:|:------------:|
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| Scrapling | 2.46 | 1.0x |
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| AutoScraper | 13.3 | 5.407x |
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> 所有基准测试代表100+次运行的平均值。请参阅[benchmarks.py](https://github.com/D4Vinci/Scrapling/blob/main/benchmarks.py)了解方法。

‎docs/README_DE.md‎

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### Textextraktions-Geschwindigkeitstest (5000 verschachtelte Elemente)
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| # | Bibliothek | Zeit (ms) | vs Scrapling |
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|---|:--------------------:|:---------:|:------------:|
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| 1 | Scrapling | 1.92 | 1.0x |
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| 2 | Parsel/Scrapy | 1.99 | 1.036x |
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| 3 | Raw Lxml | 2.33 | 1.214x |
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| 4 | PyQuery | 20.61 | ~11x |
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| 5 | Selectolax | 80.65 | ~42x |
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| 6 | BS4 mit Lxml | 1283.21 | ~698x |
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| 7 | MechanicalSoup | 1304.57 | ~679x |
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| 8 | BS4 mit html5lib | 3331.96 | ~1735x |
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| # | Bibliothek | Zeit (ms) | vs Scrapling |
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|---|:-----------------:|:---------:|:------------:|
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| 1 | Scrapling | 1.99 | 1.0x |
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| 2 | Parsel/Scrapy | 2.01 | 1.01x |
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| 3 | Raw Lxml | 2.5 | 1.256x |
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| 4 | PyQuery | 22.93 | ~11.5x |
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| 5 | Selectolax | 80.57 | ~40.5x |
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| 6 | BS4 with Lxml | 1541.37 | ~774.6x |
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| 7 | MechanicalSoup | 1547.35 | ~777.6x |
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| 8 | BS4 with html5lib | 3410.58 | ~1713.9x |
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### Element-Ähnlichkeit & Textsuche-Leistung
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Scraplings adaptive Element-Finding-Fähigkeiten übertreffen Alternativen deutlich:
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| Bibliothek | Zeit (ms) | vs Scrapling |
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| Bibliothek | Zeit (ms) | vs Scrapling |
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|-------------|:---------:|:------------:|
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| Scrapling | 1.87 | 1.0x |
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| AutoScraper | 10.24 | 5.476x |
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| Scrapling | 2.46 | 1.0x |
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| AutoScraper | 13.3 | 5.407x |
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> Alle Benchmarks stellen Durchschnittswerte von über 100 Durchläufen dar. Siehe [benchmarks.py](https://github.com/D4Vinci/Scrapling/blob/main/benchmarks.py) für die Methodik.

‎docs/README_ES.md‎

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### Prueba de Velocidad de Extracción de Texto (5000 elementos anidados)
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| # | Biblioteca | Tiempo (ms) | vs Scrapling |
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|---|:--------------------:|:-----------:|:------------:|
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| 1 | Scrapling | 1.92 | 1.0x |
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| 2 | Parsel/Scrapy | 1.99 | 1.036x |
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| 3 | Raw Lxml | 2.33 | 1.214x |
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| 4 | PyQuery | 20.61 | ~11x |
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| 5 | Selectolax | 80.65 | ~42x |
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| 6 | BS4 con Lxml | 1283.21 | ~698x |
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| 7 | MechanicalSoup | 1304.57 | ~679x |
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| 8 | BS4 con html5lib | 3331.96 | ~1735x |
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| # | Biblioteca | Tiempo (ms) | vs Scrapling |
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|---|:-----------------:|:-----------:|:------------:|
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| 1 | Scrapling | 1.99 | 1.0x |
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| 2 | Parsel/Scrapy | 2.01 | 1.01x |
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| 3 | Raw Lxml | 2.5 | 1.256x |
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| 4 | PyQuery | 22.93 | ~11.5x |
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| 5 | Selectolax | 80.57 | ~40.5x |
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| 6 | BS4 with Lxml | 1541.37 | ~774.6x |
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| 7 | MechanicalSoup | 1547.35 | ~777.6x |
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| 8 | BS4 with html5lib | 3410.58 | ~1713.9x |
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### Rendimiento de Similitud de Elementos y Búsqueda de Texto
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Las capacidades de búsqueda adaptativa de elementos de Scrapling superan significativamente a las alternativas:
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| Biblioteca | Tiempo (ms) | vs Scrapling |
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|--------------|:-----------:|:------------:|
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| Scrapling | 1.87 | 1.0x |
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| AutoScraper | 10.24 | 5.476x |
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| Biblioteca | Tiempo (ms) | vs Scrapling |
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|-------------|:-----------:|:------------:|
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| Scrapling | 2.46 | 1.0x |
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| AutoScraper | 13.3 | 5.407x |
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> Todos los benchmarks representan promedios de más de 100 ejecuciones. Ver [benchmarks.py](https://github.com/D4Vinci/Scrapling/blob/main/benchmarks.py) para la metodología.

‎docs/README_JP.md‎

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### テキスト抽出速度テスト（5000個のネストされた要素）
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| # | ライブラリ | 時間(ms) | vs Scrapling |
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|---|:-------------------:|:--------:|:------------:|
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| 1 | Scrapling | 1.92 | 1.0x |
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| 2 | Parsel/Scrapy | 1.99 | 1.036x |
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| 3 | Raw Lxml | 2.33 | 1.214x |
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| 4 | PyQuery | 20.61 | ~11x |
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| 5 | Selectolax | 80.65 | ~42x |
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| 6 | BS4 with Lxml | 1283.21 | ~698x |
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| 7 | MechanicalSoup | 1304.57 | ~679x |
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| 8 | BS4 with html5lib | 3331.96 | ~1735x |
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| # | ライブラリ | 時間(ms) | vs Scrapling |
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|---|:-----------------:|:-------:|:------------:|
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| 1 | Scrapling | 1.99 | 1.0x |
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| 2 | Parsel/Scrapy | 2.01 | 1.01x |
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| 3 | Raw Lxml | 2.5 | 1.256x |
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| 4 | PyQuery | 22.93 | ~11.5x |
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| 5 | Selectolax | 80.57 | ~40.5x |
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| 6 | BS4 with Lxml | 1541.37 | ~774.6x |
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| 7 | MechanicalSoup | 1547.35 | ~777.6x |
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| 8 | BS4 with html5lib | 3410.58 | ~1713.9x |
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### 要素類似性とテキスト検索のパフォーマンス
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Scraplingの適応型要素検索機能は代替手段を大幅に上回ります：
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| ライブラリ | 時間(ms) | vs Scrapling |
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|-------------|:--------:|:------------:|
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| Scrapling | 1.87 | 1.0x |
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| AutoScraper | 10.24 | 5.476x |
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| ライブラリ | 時間(ms) | vs Scrapling |
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|-------------|:------:|:------------:|
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| Scrapling | 2.46 | 1.0x |
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| AutoScraper | 13.3 | 5.407x |
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> すべてのベンチマークは100回以上の実行の平均を表します。方法論については[benchmarks.py](https://github.com/D4Vinci/Scrapling/blob/main/benchmarks.py)を参照してください。

‎docs/README_RU.md‎

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### Тест скорости извлечения текста (5000 вложенных элементов)
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| # | Библиотека | Время (мс) | vs Scrapling |
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|---|:--------------------:|:----------:|:------------:|
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| 1 | Scrapling | 1.92 | 1.0x |
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| 2 | Parsel/Scrapy | 1.99 | 1.036x |
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| 3 | Raw Lxml | 2.33 | 1.214x |
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| 4 | PyQuery | 20.61 | ~11x |
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| 5 | Selectolax | 80.65 | ~42x |
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| 6 | BS4 с Lxml | 1283.21 | ~698x |
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| 7 | MechanicalSoup | 1304.57 | ~679x |
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| 8 | BS4 с html5lib | 3331.96 | ~1735x |
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| # | Библиотека | Время (мс) | vs Scrapling |
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|---|:-----------------:|:----------:|:------------:|
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| 1 | Scrapling | 1.99 | 1.0x |
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| 2 | Parsel/Scrapy | 2.01 | 1.01x |
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| 3 | Raw Lxml | 2.5 | 1.256x |
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| 4 | PyQuery | 22.93 | ~11.5x |
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| 5 | Selectolax | 80.57 | ~40.5x |
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| 6 | BS4 with Lxml | 1541.37 | ~774.6x |
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| 7 | MechanicalSoup | 1547.35 | ~777.6x |
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| 8 | BS4 with html5lib | 3410.58 | ~1713.9x |
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### Производительность подобия элементов и текстового поиска
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Возможности адаптивного поиска элементов Scrapling значительно превосходят альтернативы:
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| Библиотека | Время (мс) | vs Scrapling |
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| Библиотека | Время (мс) | vs Scrapling |
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|-------------|:----------:|:------------:|
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| Scrapling | 1.87 | 1.0x |
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| AutoScraper | 10.24 | 5.476x |
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| Scrapling | 2.46 | 1.0x |
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| AutoScraper | 13.3 | 5.407x |
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> Все тесты производительности представляют собой средние значения более 100 запусков. См. [benchmarks.py](https://github.com/D4Vinci/Scrapling/blob/main/benchmarks.py) для методологии.

‎docs/benchmarks.md‎

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| # | Library | Time (ms) | vs Scrapling |
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|---|:-----------------:|:---------:|:------------:|
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| 1 | Scrapling | 1.92 | 1.0x |
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| 2 | Parsel/Scrapy | 1.99 | 1.036x |
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| 3 | Raw Lxml | 2.33 | 1.214x |
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| 4 | PyQuery | 20.61 | ~11x |
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| 5 | Selectolax | 80.65 | ~42x |
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| 6 | BS4 with Lxml | 1283.21 | ~698x |
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| 7 | MechanicalSoup | 1304.57 | ~679x |
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| 8 | BS4 with html5lib | 3331.96 | ~1735x |
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| 1 | Scrapling | 1.99 | 1.0x |
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| 2 | Parsel/Scrapy | 2.01 | 1.01x |
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| 3 | Raw Lxml | 2.5 | 1.256x |
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| 4 | PyQuery | 22.93 | ~11.5x |
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| 5 | Selectolax | 80.57 | ~40.5x |
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| 6 | BS4 with Lxml | 1541.37 | ~774.6x |
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| 7 | MechanicalSoup | 1547.35 | ~777.6x |
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| 8 | BS4 with html5lib | 3410.58 | ~1713.9x |
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### Element Similarity & Text Search Performance
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Scrapling's adaptive element finding capabilities significantly outperform alternatives:
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| Library | Time (ms) | vs Scrapling |
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| Library | Time (ms) | vs Scrapling |
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|-------------|:---------:|:------------:|
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| Scrapling | 1.87 | 1.0x |
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| AutoScraper | 10.24 | 5.476x |
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| Scrapling | 2.46 | 1.0x |
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| AutoScraper | 13.3 | 5.407x |

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