PINGDOM_CHECK

Automated Data Extraction. Turn pages into structured data.

End the pain of parsing once and for all. Let Zyte's AI-powered extraction understand the page and extract the data for you.

Built to handleany website.

Wide range of data types
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}
Copy
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}
Copy
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}
Copy
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}
Copy
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}
Copy
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}
Copy
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}
Copy
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}
Copy
AI Extraction

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.

This is an image of ai data extraction from a product website

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.

Complete software and infrastructure solution for web scraping

Everything you need in one web scraping API. Automate unblocking and extraction, customize as needed at any point.

Ban Handling

Automatic Unblocking

Stop getting blocked, start scraping. Don’t waste time solving website bans. One request to Zyte’s adaptive engine unlocks the web and frees your resources.
Browser Rendering

Built-in Headless Browser

Hands-free headless for maximum data. No infrastructure needed. Zyte’s managed remote browser engine renders dynamic content, handles CAPTCHAs and pacifies blockers with just one API call.
AI Extraction

AI-Powered Data Extraction

Turn pages into structured data instantly, like magic. End the pain of parsing. Let AI understand the page and extract the data for you.
Enterprise

Zyte API Enterprise

Designed for high-volume scraping workloads that require predictable costs, guaranteed performance, and hands-on support.

Scraping without the headache

Scraping shouldn't feel like a battle. Stop painful setup and maintenance. Zyte API brings resilience to your data pipeline. Keep the data flowing.

Smart proxy routing

Automatically use the right proxy type, location, and rotation strategy. No manual configuration or over-buying required.

Scaling without strain

When you want to 100x your requests, there is nothing to it. Simply send the requests and let us worry about the browser instances and compute.

CAPTCHA handling

Zyte API solves challenges only when triggered. Reducing latency and cost while ensuring consistent access to complex sites.

Discover localized content

Proxy geo-location got you in a spin? Unlock country-specific content by showing target sites browser-based signals.

Flexible schema

Get common fields by default, then customize the schema to fit your needs. Add or remove fields with either code or natural language prompts.

No-maintenance parsing

Forget fixing brittle selectors when sites change. Our AI adapts automatically to evolving page structures.

Manage anti-bot protection

Tricky sites screen-out plain HTTP requests. Silently gain access by effortlessly showing the credentials only a browser can.

Domain-trained models

Specialized AI models for ecommerce products, articles, jobs, and search engine results ensure accuracy and efficiency.

The right tool for the job

No more overkill. Whether browser type, proxy rotation or JavaScript rendering, Zyte API picks the minimum required toolset, reducing cost and latency.

Fingerprint & TLS signature rotation

Over 200,000 real-world browser profiles and TLS fingerprint masking techniques are applied dynamically to stay undetected.
Zyte API Playground

Play before you scrape

Size up your crawl with Zyte API Playground. Playground will help you see what's possible, configuration options, real-time samples of results, and how much it will cost. Full transparency before you pay for anything.

Guided learning

Learn by doing, with contextual guidance at every step.

Hands-on testing

Play with configurations and get live/real-time results.

Transparent costs

Discover how much scraping each website will cost.

Don’t just take our word for it.

"In terms of response time, Zyte’s API was a speed demon, beating others by up to four times."

Proxyway, Web scraping publication

Pricing

Simple, flexible pricing for every project. Only pay for what you use.

Every scraping project is different. We don’t lock you into rigid packages. Instead, we price Zyte API around your project, based on extraction complexity. Simple sites are cheaper. Heavily protected ones cost more. You only pay for what your project actually needs.

Monthly Commitment


If you exceed your minimum commitment, you're only charged at your current discounted rate. Never an additional fee.

HTTP response body (price per 1,000 responses)
Browser rendered requests (price per 1,000 responses)

Pay as you go

From $0.13

From $1.01

$100

From $0.10

From $0.75

$200

From $0.08

From $0.60

$500

From $0.06

From $0.48

Enterprise

Further discounts based on volume usage.

Further discounts based on volume usage.

Zyte API Enterprise

Built for teams operating at scale

Zyte API Enterprise is designed for high-volume scraping workloads that require predictable costs, guaranteed performance, and hands-on support. It combines higher concurrency, performance assurances, and enterprise-grade SLAs with direct access to specialists who help design, optimize, and scale complex projects.

  • Enterprise Trial with $200 Free Credit

  • Discounted price for higher volumes and locked-in pricing for your top websites

  • Higher concurrency (requests per minute)

  • Dedicated team - Customer Success Manager & Solution Engineers to resolve complex crawling and banning

  • Access to Compliance Experts plus free compliance assessment

  • Add on consultancy to design & scale crawling projects

  • Guided expert onboarding

  • Premium 24/7 support and SLAs