docs: Update URL seeding examples to use proper async context managers
- Wrap all AsyncUrlSeeder usage with async context managers - Update URL seeding adventure example to use "sitemap+cc" source, focus on course posts, and add stream=True parameter to fix runtime error
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@@ -102,16 +102,16 @@ async def smart_blog_crawler():
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# Step 2: Configure discovery - let's find all blog posts
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# Step 2: Configure discovery - let's find all blog posts
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config = SeedingConfig(
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config = SeedingConfig(
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source="sitemap", # Use the website's sitemap
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source="sitemap+cc", # Use the website's sitemap+cc
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pattern="*/blog/*.html", # Only blog posts
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pattern="*/courses/*", # Only courses related posts
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extract_head=True, # Get page metadata
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extract_head=True, # Get page metadata
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max_urls=100 # Limit for this example
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max_urls=100 # Limit for this example
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)
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)
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# Step 3: Discover URLs from the Python blog
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# Step 3: Discover URLs from the Python blog
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print("🔍 Discovering blog posts...")
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print("🔍 Discovering course posts...")
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urls = await seeder.urls("realpython.com", config)
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urls = await seeder.urls("realpython.com", config)
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print(f"✅ Found {len(urls)} blog posts")
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print(f"✅ Found {len(urls)} course posts")
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# Step 4: Filter for Python tutorials (using metadata!)
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# Step 4: Filter for Python tutorials (using metadata!)
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tutorials = [
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tutorials = [
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@@ -134,7 +134,8 @@ async def smart_blog_crawler():
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async with AsyncWebCrawler() as crawler:
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async with AsyncWebCrawler() as crawler:
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config = CrawlerRunConfig(
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config = CrawlerRunConfig(
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only_text=True,
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only_text=True,
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word_count_threshold=300 # Only substantial articles
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word_count_threshold=300, # Only substantial articles
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stream=True
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)
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)
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# Extract URLs and crawl them
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# Extract URLs and crawl them
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@@ -155,7 +156,7 @@ asyncio.run(smart_blog_crawler())
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**What just happened?**
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**What just happened?**
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1. We discovered all blog URLs from the sitemap
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1. We discovered all blog URLs from the sitemap+cc
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2. We filtered using metadata (no crawling needed!)
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2. We filtered using metadata (no crawling needed!)
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3. We crawled only the relevant tutorials
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3. We crawled only the relevant tutorials
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4. We saved tons of time and bandwidth
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4. We saved tons of time and bandwidth
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@@ -282,8 +283,8 @@ config = SeedingConfig(
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live_check=True, # Verify each URL is accessible
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live_check=True, # Verify each URL is accessible
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concurrency=20 # Check 20 URLs in parallel
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concurrency=20 # Check 20 URLs in parallel
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)
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)
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async with AsyncUrlSeeder() as seeder:
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urls = await seeder.urls("example.com", config)
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urls = await seeder.urls("example.com", config)
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# Now you can filter by status
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# Now you can filter by status
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live_urls = [u for u in urls if u["status"] == "valid"]
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live_urls = [u for u in urls if u["status"] == "valid"]
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@@ -311,8 +312,8 @@ This is where URL seeding gets really powerful. Instead of crawling entire pages
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config = SeedingConfig(
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config = SeedingConfig(
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extract_head=True # Extract metadata from <head> section
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extract_head=True # Extract metadata from <head> section
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)
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)
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async with AsyncUrlSeeder() as seeder:
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urls = await seeder.urls("example.com", config)
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urls = await seeder.urls("example.com", config)
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# Now each URL has rich metadata
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# Now each URL has rich metadata
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for url in urls[:3]:
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for url in urls[:3]:
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@@ -387,8 +388,8 @@ config = SeedingConfig(
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scoring_method="bm25",
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scoring_method="bm25",
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score_threshold=0.3
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score_threshold=0.3
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)
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)
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async with AsyncUrlSeeder() as seeder:
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urls = await seeder.urls("example.com", config)
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urls = await seeder.urls("example.com", config)
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# URLs are scored based on:
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# URLs are scored based on:
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# 1. Domain parts matching (e.g., 'python' in python.example.com)
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# 1. Domain parts matching (e.g., 'python' in python.example.com)
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@@ -429,8 +430,8 @@ config = SeedingConfig(
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extract_head=True,
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extract_head=True,
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live_check=True
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live_check=True
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)
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)
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async with AsyncUrlSeeder() as seeder:
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urls = await seeder.urls("blog.example.com", config)
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urls = await seeder.urls("blog.example.com", config)
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# Analyze the results
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# Analyze the results
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for url in urls[:5]:
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for url in urls[:5]:
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@@ -488,8 +489,8 @@ config = SeedingConfig(
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scoring_method="bm25", # Use BM25 algorithm
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scoring_method="bm25", # Use BM25 algorithm
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score_threshold=0.3 # Minimum relevance score
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score_threshold=0.3 # Minimum relevance score
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)
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)
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async with AsyncUrlSeeder() as seeder:
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urls = await seeder.urls("realpython.com", config)
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urls = await seeder.urls("realpython.com", config)
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# Results are automatically sorted by relevance!
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# Results are automatically sorted by relevance!
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for url in urls[:5]:
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for url in urls[:5]:
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@@ -511,8 +512,8 @@ config = SeedingConfig(
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score_threshold=0.5,
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score_threshold=0.5,
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max_urls=20
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max_urls=20
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)
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)
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async with AsyncUrlSeeder() as seeder:
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urls = await seeder.urls("docs.example.com", config)
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urls = await seeder.urls("docs.example.com", config)
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# The highest scoring URLs will be API docs!
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# The highest scoring URLs will be API docs!
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```
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```
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@@ -529,8 +530,8 @@ config = SeedingConfig(
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score_threshold=0.4,
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score_threshold=0.4,
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pattern="*/product/*" # Combine with pattern matching
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pattern="*/product/*" # Combine with pattern matching
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)
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)
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async with AsyncUrlSeeder() as seeder:
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urls = await seeder.urls("shop.example.com", config)
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urls = await seeder.urls("shop.example.com", config)
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# Filter further by price (from metadata)
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# Filter further by price (from metadata)
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affordable = [
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affordable = [
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@@ -550,8 +551,8 @@ config = SeedingConfig(
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scoring_method="bm25",
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scoring_method="bm25",
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score_threshold=0.35
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score_threshold=0.35
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)
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)
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async with AsyncUrlSeeder() as seeder:
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urls = await seeder.urls("technews.com", config)
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urls = await seeder.urls("technews.com", config)
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# Filter by date
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# Filter by date
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from datetime import datetime, timedelta
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from datetime import datetime, timedelta
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@@ -591,8 +592,8 @@ for query in queries:
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score_threshold=0.4,
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score_threshold=0.4,
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max_urls=10 # Top 10 per topic
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max_urls=10 # Top 10 per topic
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)
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)
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async with AsyncUrlSeeder() as seeder:
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urls = await seeder.urls("learning-platform.com", config)
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urls = await seeder.urls("learning-platform.com", config)
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all_tutorials.extend(urls)
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all_tutorials.extend(urls)
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# Remove duplicates while preserving order
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# Remove duplicates while preserving order
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@@ -625,7 +626,8 @@ config = SeedingConfig(
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)
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)
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# Returns a dictionary: {domain: [urls]}
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# Returns a dictionary: {domain: [urls]}
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results = await seeder.many_urls(domains, config)
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async with AsyncUrlSeeder() as seeder:
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results = await seeder.many_urls(domains, config)
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# Process results
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# Process results
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for domain, urls in results.items():
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for domain, urls in results.items():
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@@ -654,8 +656,8 @@ config = SeedingConfig(
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pattern="*/blog/*",
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pattern="*/blog/*",
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max_urls=100
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max_urls=100
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)
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)
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async with AsyncUrlSeeder() as seeder:
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results = await seeder.many_urls(competitors, config)
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results = await seeder.many_urls(competitors, config)
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# Analyze content types
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# Analyze content types
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for domain, urls in results.items():
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for domain, urls in results.items():
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@@ -690,8 +692,8 @@ config = SeedingConfig(
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score_threshold=0.3,
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score_threshold=0.3,
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max_urls=20 # Per site
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max_urls=20 # Per site
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)
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)
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async with AsyncUrlSeeder() as seeder:
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results = await seeder.many_urls(educational_sites, config)
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results = await seeder.many_urls(educational_sites, config)
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# Find the best beginner tutorials
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# Find the best beginner tutorials
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all_tutorials = []
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all_tutorials = []
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@@ -731,8 +733,8 @@ config = SeedingConfig(
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score_threshold=0.5, # High threshold for relevance
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score_threshold=0.5, # High threshold for relevance
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max_urls=10
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max_urls=10
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)
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)
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async with AsyncUrlSeeder() as seeder:
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results = await seeder.many_urls(news_sites, config)
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results = await seeder.many_urls(news_sites, config)
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# Collect all mentions
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# Collect all mentions
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mentions = []
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mentions = []
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