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docs: update benchmarks with the current results

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Karim shoair
2025-11-26 02:50:01 +02:00
parent ab23b71836
commit eb15aae444
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docs/README_DE.md
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@@ -232,25 +232,26 @@ Scrapling ist nicht nur leistungsstark – es ist auch blitzschnell, und die Upd
### Textextraktions-Geschwindigkeitstest (5000 verschachtelte Elemente)
| # | Bibliothek | Zeit (ms) | vs Scrapling |
|---|:--------------------:|:---------:|:------------:|
| 1 | Scrapling | 1.92 | 1.0x |
| 2 | Parsel/Scrapy | 1.99 | 1.036x |
| 3 | Raw Lxml | 2.33 | 1.214x |
| 4 | PyQuery | 20.61 | ~11x |
| 5 | Selectolax | 80.65 | ~42x |
| 6 | BS4 mit Lxml | 1283.21 | ~698x |
| 7 | MechanicalSoup | 1304.57 | ~679x |
| 8 | BS4 mit html5lib | 3331.96 | ~1735x |
| # | Bibliothek | Zeit (ms) | vs Scrapling |
|---|:-----------------:|:---------:|:------------:|
| 1 | Scrapling | 1.99 | 1.0x |
| 2 | Parsel/Scrapy | 2.01 | 1.01x |
| 3 | Raw Lxml | 2.5 | 1.256x |
| 4 | PyQuery | 22.93 | ~11.5x |
| 5 | Selectolax | 80.57 | ~40.5x |
| 6 | BS4 with Lxml | 1541.37 | ~774.6x |
| 7 | MechanicalSoup | 1547.35 | ~777.6x |
| 8 | BS4 with html5lib | 3410.58 | ~1713.9x |
### Element-Ähnlichkeit & Textsuche-Leistung
Scraplings adaptive Element-Finding-Fähigkeiten übertreffen Alternativen deutlich:
| Bibliothek | Zeit (ms) | vs Scrapling |
| Bibliothek | Zeit (ms) | vs Scrapling |
|-------------|:---------:|:------------:|
| Scrapling | 1.87 | 1.0x |
| AutoScraper | 10.24 | 5.476x |
| Scrapling | 2.46 | 1.0x |
| AutoScraper | 13.3 | 5.407x |
> Alle Benchmarks stellen Durchschnittswerte von über 100 Durchläufen dar. Siehe [benchmarks.py](https://github.com/D4Vinci/Scrapling/blob/main/benchmarks.py) für die Methodik.