feat: Add deep crawl capabilities to arun_many function

crawl4ai/async_webcrawler.py

@@ -798,6 +798,22 @@ class AsyncWebCrawler:
         ):
             print(f"Processed {result.url}: {len(result.markdown)} chars")
         """
+
+        async def merge_async_generators(generators):
+            tasks = {asyncio.create_task(gen.__anext__()): gen for gen in generators}
+            while tasks:
+                done, _ = await asyncio.wait(tasks, return_when=asyncio.FIRST_COMPLETED)
+                
+                for task in done:
+                    gen = tasks.pop(task)  # Get the generator associated with this task
+                    
+                    try:
+                        result = task.result()
+                        yield result  # Yield the result
+                        tasks[asyncio.create_task(gen.__anext__())] = gen  # Fetch next item
+                    except StopAsyncIteration:
+                        pass  # Generator is exhausted, don't add it back to the tasks
+
         if config is None:
             config = CrawlerRunConfig(
                 word_count_threshold=word_count_threshold,
@@ -838,6 +854,27 @@ class AsyncWebCrawler:
 
         stream = config.stream
 
+        if config.deep_crawl_strategy:
+            if config.stream:
+                generators = []
+                for url in urls:
+                    generators.append(
+                        config.deep_crawl_strategy.arun(
+                            start_url=url, crawler=self, crawler_run_config=config
+                        )
+                    )
+                return merge_async_generators(generators)
+            else:
+                results = []
+                for url in urls:
+                    url_results = []
+                    async for result in config.deep_crawl_strategy.arun(
+                        start_url=url, crawler=self, crawler_run_config=config
+                    ):
+                        url_results.append(result)
+                    results.append(url_results)
+                return results
+
         if stream:
 
             async def result_transformer():

crawl4ai/deep_crawl/bfs_deep_crawl_strategy.py

@@ -187,7 +187,6 @@ class BFSDeepCrawlStrategy(DeepCrawlStrategy):
 
         finally:
             self.stats.end_time = datetime.now()
-            await crawler.close()
 
     async def shutdown(self):
         """Clean up resources and stop crawling"""

docs/deep_crawl/deep_crawl_quickstart.py

@@ -1,4 +1,3 @@
-# basic_scraper_example.py
 from crawl4ai.async_configs import CrawlerRunConfig, BrowserConfig
 from crawl4ai.content_scraping_strategy import LXMLWebScrapingStrategy
 from crawl4ai.deep_crawl import (
@@ -20,9 +19,9 @@ import logging
 browser_config = BrowserConfig(headless=True, viewport_width=800, viewport_height=600)
 
 
-async def basic_scraper_example():
+async def basic_example():
     """
-    Basic example: Scrape a blog site for articles
+    Basic example: Deep crawl a blog site for articles
     - Crawls only HTML pages
     - Stays within the blog section
     - Collects all results at once
@@ -45,14 +44,15 @@ async def basic_scraper_example():
         process_external_links=True,
     )
 
-    # Create the crawler and scraper
+    # Create the crawler
     async with AsyncWebCrawler(
         config=browser_config,
     ) as crawler:
         # Start scraping
         try:
             results = await crawler.arun(
-                "https://crawl4ai.com/mkdocs", CrawlerRunConfig(deep_crawl_strategy=bfs_strategy)
+                "https://crawl4ai.com/mkdocs",
+                CrawlerRunConfig(deep_crawl_strategy=bfs_strategy),
             )
             # Process results
             print(f"Crawled {len(results)} pages:")
@@ -62,9 +62,10 @@ async def basic_scraper_example():
         except Exception as e:
             print(f"Error during scraping: {e}")
 
-async def advanced_scraper_example():
+
+async def advanced_example():
     """
-    Advanced example: Intelligent news site scraping
+    Advanced example: Intelligent news site crawling
     - Uses all filter types
     - Implements sophisticated scoring
     - Streams results
@@ -72,7 +73,7 @@ async def advanced_scraper_example():
     """
     # Set up logging
     logging.basicConfig(level=logging.INFO)
-    logger = logging.getLogger("advanced_scraper")
+    logger = logging.getLogger("advanced_deep_crawler")
 
     # Create sophisticated filter chain
     filter_chain = FilterChain(
@@ -115,7 +116,7 @@ async def advanced_scraper_example():
         max_depth=2, filter_chain=filter_chain, url_scorer=scorer
     )
 
-    # Create crawler and scraper
+    # Create crawler
     async with AsyncWebCrawler(
         config=browser_config,
     ) as crawler:
@@ -128,8 +129,7 @@ async def advanced_scraper_example():
             results = []
             result_generator = await crawler.arun(
                 "https://techcrunch.com",
-                config=CrawlerRunConfig(deep_crawl_strategy=bfs_strategy,
-                stream=True)
+                config=CrawlerRunConfig(deep_crawl_strategy=bfs_strategy, stream=True),
             )
             async for result in result_generator:
                 stats["processed"] += 1
@@ -174,17 +174,87 @@ async def advanced_scraper_example():
             )
 
 
+async def basic_example_many_urls():
+    filter_chain = FilterChain(
+        [
+            URLPatternFilter("*/basic/*"),
+            ContentTypeFilter(["text/html"]),
+        ]
+    )
+    # Initialize the strategy with basic configuration
+    bfs_strategy = BFSDeepCrawlStrategy(
+        max_depth=2,  # Only go 2 levels deep
+        filter_chain=filter_chain,
+        url_scorer=None,  # Use default scoring
+        process_external_links=False,
+    )
+
+    # Create the crawler
+    async with AsyncWebCrawler(
+        config=browser_config,
+    ) as crawler:
+        # Start scraping
+        try:
+            results = await crawler.arun_many(
+                urls=["https://crawl4ai.com/mkdocs","https://aravindkarnam.com"],
+                config=CrawlerRunConfig(deep_crawl_strategy=bfs_strategy),
+            )
+            # Process results
+            print(f"Crawled {len(results)} pages:")
+            for url_result in results:
+                for result in url_result:
+                    print(f"- {result.url}: {len(result.html)} bytes")
+
+        except Exception as e:
+            print(f"Error during scraping: {e}")
+
+async def basic_example_many_urls_stream():
+    filter_chain = FilterChain(
+        [
+            URLPatternFilter("*/basic/*"),
+            ContentTypeFilter(["text/html"]),
+        ]
+    )
+    # Initialize the strategy with basic configuration
+    bfs_strategy = BFSDeepCrawlStrategy(
+        max_depth=2,  # Only go 2 levels deep
+        filter_chain=filter_chain,
+        url_scorer=None,  # Use default scoring
+        process_external_links=False,
+    )
+
+    # Create the crawler
+    async with AsyncWebCrawler(
+        config=browser_config,
+    ) as crawler:
+        # Start scraping
+        try:
+            async for result in await crawler.arun_many(
+                urls=["https://crawl4ai.com/mkdocs","https://aravindkarnam.com"],
+                config=CrawlerRunConfig(deep_crawl_strategy=bfs_strategy,stream=True),
+            ):
+            # Process results
+                print(f"- {result.url}: {len(result.html)} bytes")
+        except Exception as e:
+            print(f"Error during scraping: {e}")
+
 if __name__ == "__main__":
     import asyncio
     import time
 
     # Run basic example
     start_time = time.perf_counter()
-    print("Running basic scraper example...")
-    asyncio.run(basic_scraper_example())
+    print("Running basic Deep crawl example...")
+    asyncio.run(basic_example())
     end_time = time.perf_counter()
-    print(f"Basic scraper example completed in {end_time - start_time:.2f} seconds")
+    print(f"Basic deep crawl example completed in {end_time - start_time:.2f} seconds")
 
-    # # Run advanced example
-    print("\nRunning advanced scraper example...")
-    asyncio.run(advanced_scraper_example())
+    # Run advanced example
+    print("\nRunning advanced deep crawl example...")
+    asyncio.run(advanced_example())
+
+    print("\nRunning advanced deep crawl example with arun_many...")
+    asyncio.run(basic_example_many_urls())
+
+    print("\nRunning advanced deep crawl example with arun_many streaming enabled...")
+    asyncio.run(basic_example_many_urls_stream())