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feat(crawl4ai): Update to version 0.7.1 with improvements and new tests

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This commit includes several updates to the crawl4ai package, including changes to the browser manager and content scraping strategy. The version number has been updated to 0.7.1. Significant modifications have been made to the documentation, including updates to the release notes for version 0.7.0 and the addition of release notes for version 0.7.1. Examples and core documentation have also been updated to reflect the changes in this version. Additionally, a new simple API test has been added to the Docker tests.

These changes were made to improve the functionality of the crawl4ai package and to provide clearer, more up-to-date documentation for users. The new test will help ensure the API is working as expected.

BREAKING CHANGE: The updates to the browser manager and content scraping strategy may affect how these components interact with the rest of the package. Users should review the updated documentation for details on these changes.
This commit is contained in:
UncleCode
2025-07-18 16:27:19 +08:00
parent 7b80eb6b99
commit 8a04351406
18 changed files with 709 additions and 485 deletions
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docs/md_v2/core/adaptive-crawling.md
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@@ -35,7 +35,7 @@ from crawl4ai import AsyncWebCrawler, AdaptiveCrawler
async def main():
async with AsyncWebCrawler() as crawler:
# Create an adaptive crawler
# Create an adaptive crawler (config is optional)
adaptive = AdaptiveCrawler(crawler)
# Start crawling with a query
@@ -59,13 +59,13 @@ async def main():
from crawl4ai import AdaptiveConfig
config = AdaptiveConfig(
confidence_threshold=0.7, # Stop when 70% confident (default: 0.8)
max_pages=20, # Maximum pages to crawl (default: 50)
top_k_links=3, # Links to follow per page (default: 5)
confidence_threshold=0.8, # Stop when 80% confident (default: 0.7)
max_pages=30, # Maximum pages to crawl (default: 20)
top_k_links=5, # Links to follow per page (default: 3)
min_gain_threshold=0.05 # Minimum expected gain to continue (default: 0.1)
)
adaptive = AdaptiveCrawler(crawler, config=config)
adaptive = AdaptiveCrawler(crawler, config)
```
## Crawling Strategies
@@ -198,8 +198,8 @@ if result.metrics.get('is_irrelevant', False):
The confidence score (0-1) indicates how sufficient the gathered information is:
- **0.0-0.3**: Insufficient information, needs more crawling
- **0.3-0.6**: Partial information, may answer basic queries
- **0.6-0.8**: Good coverage, can answer most queries
- **0.8-1.0**: Excellent coverage, comprehensive information
- **0.6-0.7**: Good coverage, can answer most queries
- **0.7-1.0**: Excellent coverage, comprehensive information
### Statistics Display
@@ -257,9 +257,9 @@ new_adaptive.import_knowledge_base("knowledge_base.jsonl")
- Avoid overly broad queries
### 2. Threshold Tuning
- Start with default (0.8) for general use
- Lower to 0.6-0.7 for exploratory crawling
- Raise to 0.9+ for exhaustive coverage
- Start with default (0.7) for general use
- Lower to 0.5-0.6 for exploratory crawling
- Raise to 0.8+ for exhaustive coverage
### 3. Performance Optimization
- Use appropriate `max_pages` limits