meta_oxide 0.1.1

Universal metadata extraction library supporting 13 formats (HTML Meta, Open Graph, Twitter Cards, JSON-LD, Microdata, Microformats, RDFa, Dublin Core, Web App Manifest, oEmbed, rel-links, Images, SEO) with 7 language bindings
Documentation 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172

#!/usr/bin/env python3
"""
Demo script showing BreadcrumbList JSON-LD extraction

This demonstrates the new BreadcrumbList type support in meta_oxide.
"""

import meta_oxide

# Example 1: E-commerce breadcrumb
ecommerce_html = """
<html>
<head>
    <script type="application/ld+json">
    {
        "@context": "https://schema.org",
        "@type": "BreadcrumbList",
        "itemListElement": [
            {
                "@type": "ListItem",
                "position": 1,
                "name": "Home",
                "item": "https://shop.example.com"
            },
            {
                "@type": "ListItem",
                "position": 2,
                "name": "Electronics",
                "item": "https://shop.example.com/electronics"
            },
            {
                "@type": "ListItem",
                "position": 3,
                "name": "Laptops",
                "item": "https://shop.example.com/electronics/laptops"
            },
            {
                "@type": "ListItem",
                "position": 4,
                "name": "Gaming Laptops"
            }
        ]
    }
    </script>
</head>
<body>
    <h1>Gaming Laptops</h1>
</body>
</html>
"""

print("Example 1: E-commerce Breadcrumb")
print("=" * 50)
objects = meta_oxide.extract_jsonld(ecommerce_html)
breadcrumb = objects[0]
print(f"Type: {breadcrumb['@type']}")
print(f"Number of items: {len(breadcrumb['itemListElement'])}")
print("\nBreadcrumb trail:")
for item in breadcrumb["itemListElement"]:
    position = item["position"]
    name = item["name"]
    url = item.get("item", "(current page)")
    print(f"  {position}. {name} -> {url}")

# Example 2: Documentation breadcrumb with all fields
documentation_html = """
<html>
<head>
    <script type="application/ld+json">
    {
        "@context": "https://schema.org",
        "@type": "BreadcrumbList",
        "name": "Documentation Navigation",
        "numberOfItems": 3,
        "itemListElement": [
            {
                "@type": "ListItem",
                "position": 1,
                "name": "Docs",
                "item": "https://docs.example.com"
            },
            {
                "@type": "ListItem",
                "position": 2,
                "name": "API Reference",
                "item": "https://docs.example.com/api"
            },
            {
                "@type": "ListItem",
                "position": 3,
                "name": "Authentication",
                "item": "https://docs.example.com/api/auth"
            }
        ]
    }
    </script>
</head>
<body>
    <h1>Authentication</h1>
</body>
</html>
"""

print("\n\nExample 2: Documentation Breadcrumb (with metadata)")
print("=" * 50)
objects = meta_oxide.extract_jsonld(documentation_html)
breadcrumb = objects[0]
print(f"Type: {breadcrumb['@type']}")
print(f"Name: {breadcrumb.get('name', 'N/A')}")
print(f"Number of Items: {breadcrumb.get('numberOfItems', 'N/A')}")
print("\nBreadcrumb trail:")
for item in breadcrumb["itemListElement"]:
    print(f"  {item['position']}. {item['name']} -> {item['item']}")

# Example 3: Using extract_all() to get breadcrumb with other data
combined_html = """
<html>
<head>
    <title>Gaming Laptop - TechShop</title>
    <meta property="og:title" content="Best Gaming Laptop 2024">
    <script type="application/ld+json">
    {
        "@context": "https://schema.org",
        "@graph": [
            {
                "@type": "BreadcrumbList",
                "itemListElement": [
                    {
                        "@type": "ListItem",
                        "position": 1,
                        "name": "Home",
                        "item": "https://shop.example.com"
                    },
                    {
                        "@type": "ListItem",
                        "position": 2,
                        "name": "Products",
                        "item": "https://shop.example.com/products"
                    }
                ]
            },
            {
                "@type": "Product",
                "name": "Gaming Laptop Pro",
                "sku": "LAPTOP-001"
            }
        ]
    }
    </script>
</head>
<body></body>
</html>
"""

print("\n\nExample 3: Combined extraction with extract_all()")
print("=" * 50)
data = meta_oxide.extract_all(combined_html)
print(f"Title: {data['meta']['title']}")
print(f"OG Title: {data['opengraph']['title']}")
print(f"\nJSON-LD objects found: {len(data['jsonld'])}")
for obj in data["jsonld"]:
    obj_type = obj["@type"]
    print(f"  - {obj_type}")
    if obj_type == "BreadcrumbList":
        print(f"    Trail: {' > '.join([item['name'] for item in obj['itemListElement']])}")
    elif obj_type == "Product":
        print(f"    Name: {obj['name']}")
        print(f"    SKU: {obj['sku']}")

print("\n" + "=" * 50)
print("BreadcrumbList support successfully implemented!")
print("=" * 50)