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Built to handleany website.

1{
2 "name": "StoneShoesbasket",
3 "productName": "Stoneshoes",
4 "price": 149,
5 "currency": "USD",
6 "currencyRaw": "$",
7 "regularPrice": 199.00,
8 "availability": "InStock",
9 "sku": "A123DK9823",
10 "mpn": "code-123",
11 "gtin": [],
12 "brand": {},
13 "breadcrumbs": [],
14 "mainImage": {},
15 "images": [],
16 "description": "product description",
17 "descriptionHtml": "<article>HTML description for Product ...</article>",
18 "color": "Red",
19 "size": "XL",
20 "weight": {},
21 "material": ["Metal", "Plastic"]
22}
1{
2 "realEstateListing": {
3 "id": "hl-ATX-1427-woodland",
4 "url": "https://hearthlane.example/listings/woodland-ave-1427",
5 "status": "ForSale",
6 "price": {
7 "amount": 849000,
8 "currency": "USD",
9 "display": "$849,000"
10 },
11 "address": {
12 "street": "1427 Woodtree Ave",
13 "city": "Austin",
14 "region": "TX",
15 "postalCode": "78704",
16 "country": "US"
17 },
18 "property": {
19 "type": "SingleFamily",
20 "bedrooms": 4,
21 "bathrooms": 3,
22 "livingAreaSqft": 2418,
23 "lotSizeAcres": 0.19,
24 "yearBuilt": 1998,
25 "parking": {
26 "type": "Garage",
27 "spaces": 2
28 }
29 },
30 "location": {
31 "neighborhood": "Bouldin Creek",
32 "coordinates": {
33 "lat": 30.2492,
34 "lng": -97.7546
35 }
36 },
37 "media": {
38 "mainImage": {
39 "url": "https://hearthlane.example/media/hl-1427/main.jpg",
40 "alt": "Front exterior of 1427 Woodland Ave"
41 },
42 "images": [
43 "https://hearthlane.example/media/hl-1427/01.jpg",
44 "https://hearthlane.example/media/hl-1427/02.jpg",
45 "https://hearthlane.example/media/hl-1427/03.jpg"
46 ],
47 "floorplan": {
48 "url": "https://hearthlane.example/media/hl-1427/floorplan.png"
49 }
50 },
51 "highlights": [
52 "Renovated kitchen (2022)",
53 "10-panel solar system",
54 "EV charger in garage",
55 "Walkable to South Congress"
56 ],
57 "amenities": [
58 "Central air",
59 "Hardwood floors",
60 "Fenced yard",
61 "Gas range",
62 "Smart thermostat"
63 ],
64 "openHouses": [
65 {
66 "start": "2026-02-01T13:00:00-06:00",
67 "end": "2026-02-01T15:00:00-06:00",
68 "note": "Hosted by listing agent"
69 }
70 ],
71 "description": "Bright, updated home in Bouldin Creek with an open layout, chef-friendly kitchen, and a private backyard. Solar panels keep energy costs low, and the EV charger makes commuting easy. Minutes to local shops and dining.",
72 "agent": {
73 "brokerage": "Hearthlane Realty",
74 "phone": "+1-512-555-0188",
75 },
76 "disclaimer": "All information deemed reliable but not guaranteed. Buyer to verify."
77 }
78}
1{
2 "name": "dREAMjOBSTODAY",
3 "jobTitle": "Crew Member - Thamesmead 939",
4 "employmentType": "Full Time",
5 "salary": "£9.52 - £12.26",
6 "salaryMax": 12.26,
7 "currency": "GBP",
8 "currencyRaw": "£",
9 "availability": "Open",
10 "jobLocation": "SE28 8RD UK",
11 "hiringOrganization": "dREAMjOBSTODAY Careers UK",
12 "datePublished": "2025-10-08T00:00:00",
13 "datePublishedRaw": "2025-10-08",
14 "probability": 0.6755940318107605,
15 "url": "https://careers.dreamjobstoday.example/job-search/location-london/crew-member-thamesmead-939/pdx-djt-3ef1bf0e-0015-4d0f-8201-000246a1a831-77342",
16 "description": "dREAMjOBSTODAY is a fictional global hiring platform focused on connecting people with entry-level and customer-facing roles across the UK.",
17 "descriptionHtml": "<article><p>dREAMjOBSTODAY is a fictional global hiring platform.</p><p>Join our team and become part of a friendly, fast-paced environment where collaboration and great customer experiences come first.</p></article>",
18 "metadata": {
19 "dateDownloaded": "2025-10-09T09:39:58Z"
20 }
21}
1{
2 "title": "20 Years Ago, Daniel D. Cave Built the 'Best cave yacht app of all time'. It sank like a stone.",
3 "category": "Tech",
4 "description": "This month marks the 20th anniversary of Yacht Cave, which debuted July 19, 2005, and didn't get far at all.",
5 "image": {
6 "url": "https://helloworldnews.example/images/articles/yacht-cave.jpg"
7 },
8 "url": "https://www.helloworldnews.example/tech/apple/yacht-cave",
9 "publisher": {
10 "name": "HelloWorldNews"
11 },
12 "author": {
13 "name": "Martin J. Sally",
14 "profileImage": "https://helloworldnews.example/images/authors/Jordana-j-sally-ptolemy.jpg"
15 },
16 "publishedTime": "12 hours ago",
17 "lastModified": "12 hours ago",
18 "engagement": {
19 "likes": 28
20 },
21 "disclaimer": "Article metadata is fictional and provided solely for demonstration, testing, and schema validation purposes."
22}
1{
2 "_comment": "JSON example for indicative processes only.",
3
4 "dataset": {
5 "id": "td-webarticles-corpus-1042",
6 "url": "https://trainingdataipsum.example/datasets/web-articles-corpus",
7 "name": "Global Web Articles Corpus (Multilingual)",
8 "category": [
9 "LLM Training",
10 "Text Corpus",
11 "Web Data"
12 ],
13 "summary": "A large-scale corpus of publicly available web articles collected from approximately 10,100,000 websites across multiple domains, curated for AI",
14
15 "version": "1.0.0",
16 "releaseDate": "2026-01-15",
17 "lastUpdated": "2026-02-10",
18
19 "format": [
20 "JSONL",
21 "Parquet"
22 ],
23
24 "language": [
25 "en",
26 "es",
27 "fr",
28 "de",
29 "pt",
30 "it",
31 "nl"
32 ],
33
34 "size": {
35 "documents": 10321323,
36 "tokensApprox": 3100000000,
37 "compressedBytes": 12400000000
38 },
39
40 "schema": {
41 "recordType": "web_document",
42 "fields": [
43 { "name": "document_id", "type": "string" },
44 { "name": "source_url", "type": "string" },
45 { "name": "domain", "type": "string" },
46 { "name": "title", "type": "string" },
47 { "name": "content", "type": "string" },
48 { "name": "language", "type": "string" },
49 { "name": "publication_date", "type": "date" },
50 { "name": "topics", "type": "array" },
51 { "name": "content_length", "type": "integer" },
52 { "name": "quality_score", "type": "number" }
53 ]
54 },
55
56 "labels": {
57 "topics": [
58 "technology",
59 "business",
60 "finance",
61 "health",
62 "science",
63 "education",
64 "entertainment",
65 "lifestyle",
66 "travel",
67 "environment"
68 ]
69 },
70
71 "quality": {
72 "deduplication": "MinHash + URL canonicalization + content similarity filtering",
73 "contentFiltering": "Removal of boilerplate, navigation text, and low-content pages",
74 "languageId": "fastText-based language identification",
75 "qualityScoring": "Custom",
76 "safetyFiltering": "Custom"
77 },
78
79 "compliance": {
80 "pii": "No intentional collection of personal data. Automated filtering applied to exclude personal identifiers where detected.",
81 "sourceType": "Publicly accessible web content",
82 "jurisdictions": [
83 "EU",
84 "US",
85 "UK"
86 ]
87 },
88
89 "coverage": {
90 "numberOfDomains": 10321323,
91 "domainTypes": [
92 "news",
93 "blogs",
94 "documentation sites",
95 "magazines",
96 "public reports"
97 ],
98 "collectionWindow": {
99 "start": "2023-06-01",
100 "end": "2026-01-01"
101 }
102 },
103
104 "disclaimer": "This dataset is a synthetic representation of a web-scale corpus for demonstration and testing purposes. It does not contain proprietary or restricted data and is intended solely for evaluation, benchmarking, and schema validation."
105 }
106}
1{
2 "marketFinancialData": {
3 "id": "mk-financialipsum-fip",
4 "url": "https://marketdeck.io/quote/FIP",
5 "asOf": "2026-01-19T14:32:10Z",
6 "instrument": {
7 "symbol": "FIP",
8 "name": "FinancialIpsum Corp",
9 "type": "Equity",
10 "exchange": "NASDAQ",
11 "currency": "USD",
12 "isin": "US0FIP000001",
13 "cusip": "0FIP00000",
14 "sector": "Technology",
15 "industry": "Financial Data & Analytics Software"
16 },
17 "price": {
18 "last": 74.36,
19 "change": 1.28,
20 "changePercent": 1.75,
21 "open": 72.95,
22 "high": 75.1,
23 "low": 72.4,
24 "previousClose": 73.08
25 },
26 "volume": {
27 "current": 3894521,
28 "avg30d": 4621180
29 },
30 "marketCap": 24380000000,
31 "valuation": {
32 "peTTM": 31.6,
33 "epsTTM": 2.35,
34 "forwardPE": 27.2,
35 "peg": 1.8,
36 "priceToSalesTTM": 7.1
37 },
38 "dividend": {
39 "yieldPercent": 0.6,
40 "annual": 0.44,
41 "exDate": "2026-02-03",
42 "payDate": "2026-02-21"
43 },
44 "range": {
45 "day": {
46 "low": 72.4,
47 "high": 75.1
48 },
49 "week52": {
50 "low": 52.18,
51 "high": 81.42
52 }
53 },
54 "technical": {
55 "movingAvg50d": 71.92,
56 "movingAvg200d": 64.38,
57 "rsi14d": 54.1,
58 "beta": 1.18
59 },
60 "financials": {
61 "revenueTTM": 3840000000,
62 "grossMarginPercent": 69.8,
63 "operatingMarginPercent": 21.4,
64 "netIncomeTTM": 624000000,
65 "freeCashFlowTTM": 581000000
66 },
67 "events": {
68 "earnings": {
69 "nextDate": "2026-02-12",
70 "time": "AfterMarketClose"
71 }
72 },
73 "news": [
74 {
75 "headline": "FinancialIpsum reports strong demand for synthetic market data platforms",
76 "url": "https://marketdeck.io/news/financialipsum-synthetic-data-growth",
77 "publishedAt": "2026-01-18T10:05:00Z",
78 "source": "MarketDeck Wire"
79 },
80 {
81 "headline": "Analytics software stocks rally as fintech infrastructure spending rises",
82 "url": "https://marketdeck.io/news/fintech-infrastructure-rally",
83 "publishedAt": "2026-01-17T16:42:00Z",
84 "source": "MarketDeck Insights"
85 }
86 ],
87 "disclaimer": "Market data shown is fictional and provided solely for demonstration, testing, and schema validation purposes. It does not represent any real company or security."
88 }
89}
1{
2 "travelHospitality": {
3 "id": "sp-lisbon-neverendingsummer-001",
4 "url": "https://staypilot.example/hotels/lisbon/neverending-summer-resort",
5 "type": "Hotel",
6 "name": "NeverendingSummer Resort",
7 "brand": "StayPilot",
8 "status": "Available",
9 "rating": {
10 "value": 4.6,
11 "count": 1287
12 },
13 "address": {
14 "street": "Rua do Sol Eterno 18",
15 "city": "Lisbon",
16 "region": "Lisboa",
17 "postalCode": "1100-312",
18 "country": "PT"
19 },
20 "location": {
21 "neighborhood": "Alfama",
22 "coordinates": {
23 "lat": 38.7112,
24 "lng": -9.1291
25 }
26 },
27 "stay": {
28 "checkIn": "2026-04-18",
29 "checkOut": "2026-04-21",
30 "nights": 3,
31 "guests": 2,
32 "rooms": 1
33 },
34 "pricing": {
35 "currency": "EUR",
36 "total": 612.0,
37 "nightly": 204.0,
38 "taxesAndFees": 48.0,
39 "freeCancellationUntil": "2026-04-16",
40 "payAtProperty": false
41 },
42 "rooms": [
43 {
44 "name": "Standard Double",
45 "bed": "1 Queen",
46 "maxGuests": 2,
47 "refundable": true,
48 "breakfastIncluded": false,
49 "pricePerNight": 189.0,
50 "currency": "EUR"
51 },
52 {
53 "name": "River View Suite",
54 "bed": "1 King",
55 "maxGuests": 3,
56 "refundable": true,
57 "breakfastIncluded": true,
58 "pricePerNight": 246.0,
59 "currency": "EUR"
60 }
61 ],
62 "amenities": [
63 "Free Wi-Fi",
64 "Breakfast available",
65 "Airport shuttle",
66 "Air conditioning",
67 "24-hour front desk",
68 "Rooftop terrace"
69 ],
70 "policies": {
71 "checkInFrom": "15:00",
72 "checkOutUntil": "11:00",
73 "petsAllowed": false,
74 "smokingAllowed": false
75 },
76 "highlights": [
77 "5-minute walk to São Jorge Castle",
78 "Rooftop terrace with river views",
79 "Recently renovated rooms"
80 ],
81 "media": {
82 "mainImage": {
83 "url": "https://staypilot.example/media/neverending-summer/main.jpg",
84 "alt": "Rooftop terrace overlooking the Tagus River at NeverendingSummer Resort"
85 },
86 "images": [
87 "https://staypilot.example/media/neverending-summer/01.jpg",
88 "https://staypilot.example/media/neverending-summer/02.jpg",
89 "https://staypilot.example/media/neverending-summer/03.jpg"
90 ]
91 },
92 "hostOrOperator": {
93 "name": "NeverendingSummer Resort",
94 "phone": "+351-21-555-0123",
95 "email": "hello@neverendingsummer.staypilot.example"
96 },
97 "booking": {
98 "provider": "StayPilot",
99 "bookingUrl": "https://staypilot.example/booking?hotel=neverending-summer-resort&checkin=2026-04-18&checkout=2026-04-21&guests=2",
100 "confirmationInstant": true
101 },
102 "disclaimer": "All property information is fictional and provided for demonstration, testing, and schema validation purposes only."
103 }
104}
1{
2 "businessListing": {
3 "id": "np-ldn-theloremfactory-7421",
4 "url": "https://nimbuspages.example/companies/the-lorem-factory-ltd",
5 "name": "TheLoremFactory Ltd",
6 "legalName": "The Lorem Factory Limited",
7 "type": "PrivateCompany",
8 "industry": [
9 "Content Generation",
10 "Digital Tooling",
11 "SaaS"
12 ],
13 "description": "TheLoremFactory builds placeholder content and mock data tools for designers, developers, and product teams, helping them prototype faster with realistic lorem-style assets.",
14 "foundedYear": 2019,
15 "employeeCount": {
16 "value": 42,
17 "range": "11-50"
18 },
19 "headquarters": {
20 "street": "14 Placeholder Street",
21 "city": "London",
22 "region": "England",
23 "postalCode": "EC1A 4JL",
24 "country": "GB"
25 },
26 "locations": [
27 {
28 "city": "London",
29 "country": "GB",
30 "type": "Headquarters"
31 }
32 ],
33 "contact": {
34 "phone": "+44 20 7000 1234",
35 "email": "hello@theloremfactory.nimbuspages.example",
36 "website": "https://theloremfactory.nimbuspages.example"
37 },
38 "identifiers": {
39 "companyNumber": "11840291",
40 "vatNumber": "GB 312 4456 78",
41 "lei": "5493009LOREMFACTORY1"
42 },
43 "social": {
44 "x": "https://x.com/theloremfactory"
45 },
46 "categories": [
47 "Software Company",
48 "Developer Tools",
49 "B2B SaaS"
50 ],
51 "businessHours": [
52 {
53 "day": "Mon",
54 "opens": "09:00",
55 "closes": "18:00"
56 },
57 {
58 "day": "Tue",
59 "opens": "09:00",
60 "closes": "18:00"
61 },
62 {
63 "day": "Wed",
64 "opens": "09:00",
65 "closes": "18:00"
66 },
67 {
68 "day": "Thu",
69 "opens": "09:00",
70 "closes": "18:00"
71 },
72 {
73 "day": "Fri",
74 "opens": "09:00",
75 "closes": "17:00"
76 }
77 ],
78 "rating": {
79 "value": 4.7,
80 "count": 96,
81 "source": "NimbusPages"
82 },
83 "tags": [
84 "Lorem ipsum",
85 "Mock data",
86 "Prototyping",
87 "Developer tools"
88 ],
89 "media": {
90 "logo": {
91 "url": "https://nimbuspages.example/media/logos/the-lorem-factory.png",
92 "alt": "TheLoremFactory logo"
93 }
94 },
95 "lastUpdated": "2026-01-05T11:22:40Z",
96 "disclaimer": "Company information is fictional and provided for demonstration and testing purposes only."
97 }
98}Turn any web page into valuable data
Skip the hassle of creating manual parsing code. Try our AI-powered extraction solution and automatically parse web data at virtually unlimited scale.

Instant extraction from any page
Just get the data. One parameter is all you need to instantly extract the main content of any page. No selectors in sight, no HTML to clean up – just clean, slim-line content, ready for LLMs or any use case.
Rich, content-specific schemas
Zyte API uses machine learning models to identify and return standard data schema from a range of specific data types such as Product, Article, Job Posting, Search Engine.
Conjure any field, on command
Our most powerful capability, custom attributes extraction, puts a scraping-tuned Large Language Model at your beck and call.
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