ci(release): 1.26.0-beta.1 [skip ci]

## [1.26.0-beta.1](v1.25.0...v1.26.0-beta.1) (2024-09-29)

### Features

* add html_mode to smart_scraper ([bdcffd6](bdcffd6))
* add reasoning integration ([b2822f6](b2822f6))

### Bug Fixes

* integration with html_mode ([f87ffa1](f87ffa1))
* removed deep scraper ([9aa8c88](9aa8c88))

### CI

* **release:** 1.22.0-beta.4 [skip ci] ([4330179](4330179))
* **release:** 1.22.0-beta.5 [skip ci] ([6d8f543](6d8f543))
* **release:** 1.22.0-beta.6 [skip ci] ([39f7815](39f7815))

Author: semantic-release-bot

CHANGELOG.md

@@ -1,3 +1,24 @@
+## [1.26.0-beta.1](https://github.com/ScrapeGraphAI/Scrapegraph-ai/compare/v1.25.0...v1.26.0-beta.1) (2024-09-29)
+
+
+### Features
+
+* add html_mode to smart_scraper ([bdcffd6](https://github.com/ScrapeGraphAI/Scrapegraph-ai/commit/bdcffd6360237b27797546a198ceece55ce4bc81))
+* add reasoning integration ([b2822f6](https://github.com/ScrapeGraphAI/Scrapegraph-ai/commit/b2822f620a610e61d295cbf4b670aa08fde9de24))
+
+
+### Bug Fixes
+
+* integration with html_mode ([f87ffa1](https://github.com/ScrapeGraphAI/Scrapegraph-ai/commit/f87ffa1d8db32b38c47d9f5aa2ae88f1d7978a04))
+* removed deep scraper ([9aa8c88](https://github.com/ScrapeGraphAI/Scrapegraph-ai/commit/9aa8c889fb32f2eb2005a2fb04f05dc188092279))
+
+
+### CI
+
+* **release:** 1.22.0-beta.4 [skip ci] ([4330179](https://github.com/ScrapeGraphAI/Scrapegraph-ai/commit/4330179cb65674d65423c1763f90182e85c15a74))
+* **release:** 1.22.0-beta.5 [skip ci] ([6d8f543](https://github.com/ScrapeGraphAI/Scrapegraph-ai/commit/6d8f5435d1ecd2d90b06aade50abc064f75c9d78))
+* **release:** 1.22.0-beta.6 [skip ci] ([39f7815](https://github.com/ScrapeGraphAI/Scrapegraph-ai/commit/39f78154a6f1123fa8aca5e169c803111c175473))
+
 ## [1.25.0](https://github.com/ScrapeGraphAI/Scrapegraph-ai/compare/v1.24.1...v1.25.0) (2024-09-27)
 
 

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "scrapegraphai"
 
-version = "1.25.0"
+version = "1.26.0b1"
 
 description = "A web scraping library based on LangChain which uses LLM and direct graph logic to create scraping pipelines."
 authors = [