docs: updating benchmarks page

docs/benchmarks.md

@@ -1,21 +1,20 @@
 # Performance Benchmarks
 
-Scrapling isn't just powerful—it's also blazing fast, and the updates since version 0.3 have delivered exceptional performance improvements across all operations. The following benchmarks compare Scrapling's parser with other popular libraries.
-
-## Benchmark Results
+Scrapling isn't just powerful—it's also blazing fast. The following benchmarks compare Scrapling's parser with the latest versions of other popular libraries.
 
 ### Text Extraction Speed Test (5000 nested elements)
 
 | # |      Library      | Time (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   |
+| 1 |     Scrapling     |   2.02    |     1.0x     |
+| 2 |   Parsel/Scrapy   |   2.04    |     1.01     |
+| 3 |     Raw Lxml      |   2.54    |    1.257     |
+| 4 |      PyQuery      |   24.17   |     ~12x     |
+| 5 |    Selectolax     |   82.63   |     ~41x     |
+| 6 |  MechanicalSoup   |  1549.71  |   ~767.1x    |
+| 7 |   BS4 with Lxml   |  1584.31  |   ~784.3x    |
+| 8 | BS4 with html5lib |  3391.91  |   ~1679.1x   |
+
 
 ### Element Similarity & Text Search Performance
 
@@ -23,5 +22,7 @@ Scrapling's adaptive element finding capabilities significantly outperform alter
 
 | Library     | Time (ms) | vs Scrapling |
 |-------------|:---------:|:------------:|
-| Scrapling   |   2.46    |     1.0x     |
-| AutoScraper |   13.3    |    5.407x    |
+| Scrapling   |   2.39    |     1.0x     |
+| AutoScraper |   12.45   |    5.209x    |
+
+> All benchmarks represent averages of 100+ runs. See [benchmarks.py](https://github.com/D4Vinci/Scrapling/blob/main/benchmarks.py) for methodology.