Fully Managed Data Scraping Service
Custom data pipelines, built for you. We turn complex websites into dependable data that drives revenue and enables faster, smarter decisions.
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Sites block. Spiders break. Engineers burn time on CAPTCHAs, patches, and failed runs—months lost before you see a single row of usable data. With Zyte Data, you skip the pain and get clean, structured feeds from day one.
Fully managed service. We build, run, and maintain every part of your data pipeline—no engineering required.
Clean, structured delivery. Data arrives ready to use in your preferred schema and format.
Scalable & reliable. Designed to grow with you—quickly, securely, and cost-efficiently.
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Working with Zyte Data
Our team of engineers, project managers and compliance experts will become a valuable part of your team. With Zyte, you get a partner, not just a provider.
Getting started
Constant alignment
A process driven by speed-to-value
Watch the data roll in
Simple pricing that 
scales with your needs
Standard and custom plans from $500 per month.
Whatever you need, Zyte's done it.
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": "$849,000"
10 },
11 "address": {
12 "street": "1427 Woodtree Ave",
13 "city": "Austin",
14 "region": "TX",
15 "postalCode": "78704",
16 "country": "US"
17 },
18 "property": {
19 "type": "SingleFamily",
20 "bedrooms": 4,
21 "bathrooms": 3,
22 "livingAreaSqft": 2418,
23 "lotSizeAcres": 0.19,
24 "yearBuilt": 1998,
25 "parking": {
26 "type": "Garage",
27 "spaces": 2
28 }
29 },
30 "location": {
31 "neighborhood": "Bouldin Creek",
32 "coordinates": {
33 "lat": 30.2492,
34 "lng": -97.7546
35 }
36 },
37 "media": {
38 "mainImage": {
39 "url": "https://hearthlane.example/media/hl-1427/main.jpg",
40 "alt": "Front exterior of 1427 Woodland Ave"
41 },
42 "images": [
43 "https://hearthlane.example/media/hl-1427/01.jpg",
44 "https://hearthlane.example/media/hl-1427/02.jpg",
45 "https://hearthlane.example/media/hl-1427/03.jpg"
46 ],
47 "floorplan": {
48 "url": "https://hearthlane.example/media/hl-1427/floorplan.png"
49 }
50 },
51 "highlights": [
52 "Renovated kitchen (2022)",
53 "10-panel solar system",
54 "EV charger in garage",
55 "Walkable to South Congress"
56 ],
57 "amenities": [
58 "Central air",
59 "Hardwood floors",
60 "Fenced yard",
61 "Gas range",
62 "Smart thermostat"
63 ],
64 "openHouses": [
65 {
66 "start": "2026-02-01T13:00:00-06:00",
67 "end": "2026-02-01T15:00:00-06:00",
68 "note": "Hosted by listing agent"
69 }
70 ],
71 "description": "Bright, updated home in Bouldin Creek with an open layout, chef-friendly kitchen, and a private backyard. Solar panels keep energy costs low, and the EV charger makes commuting easy. Minutes to local shops and dining.",
72 "agent": {
73 "brokerage": "Hearthlane Realty",
74 "phone": "+1-512-555-0188",
75 },
76 "disclaimer": "All information deemed reliable but not guaranteed. Buyer to verify."
77 }
78}
1{
2 "name": "StoneShoesbasket",
3 "productName": "Stoneshoes",
4 "price": 149,
5 "currency": "USD",
6 "currencyRaw": "$",
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 "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}
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 "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 SĂŁo 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 "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 "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 "name": "dREAMjOBSTODAY",
3 "jobTitle": "Crew Member - Thamesmead 939",
4 "employmentType": "Full Time",
5 "salary": "ÂŁ9.52 - ÂŁ12.26",
6 "salaryMax": 12.26,
7 "currency": "GBP",
8 "currencyRaw": "ÂŁ",
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}The data you need, in any format
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Insights for teams outsourcing web data
Practical guidance from the experts behind Zyte Data — from evaluation to execution.
Frequently asked questions
What is managed data extraction (or managed web scraping)?
Managed data extraction is a fully outsourced web data service where a provider handles the entire process — from sourcing and scraping websites to structuring, validating, and delivering clean data feeds.
Instead of building and maintaining scraping infrastructure in-house, you work with experts who manage engineering, maintenance, scaling, and delivery on your behalf.
When should I outsource web data collection instead of building in-house?
Outsourcing makes sense when:
Your team lacks dedicated scraping expertise
Sites frequently block or change structure, and you don't have a team to address in real-time
You need large-scale, ongoing data feeds
Time-to-market is critical
Maintenance costs are becoming unpredictable
Building in-house can work for small or one-off projects, but long-term or large-scale data programs often require constant maintenance and infrastructure investment. A managed provider removes that operational burden.
How does Zyte Data (managed data services) work?
Zyte follows a structured process:
Project discovery & scoping – We define your requirements, target sites, schema, and delivery schedule.
Specification & setup – Our engineers build extraction workflows and configure your custom data feeds. Samples are delivered to ensure alignment to your expectations.
Quality assurance & delivery – Data is validated against your schema and delivered on a reliable schedule, with ongoing monitoring and maintenance.
You receive clean, structured data — without managing scraping infrastructure yourself.
What types of web data projects can Zyte handle?
Zyte supports a wide range of projects, including:
Real estate listings
E-commerce product and pricing data
Business directories and company data
Travel and hospitality data
Job listings
News and media monitoring
Training datasets for AI and machine learning
If the data exists publicly on the web, Zyte can design a reliable extraction and delivery workflow around it.
How long does it take to launch a managed data project?
Timelines depend on complexity, number of sites, and custom schema requirements, but typically 2-4 weeks.
For straightforward projects, feeds can be delivered faster. Larger, multi-site enterprise programs may take longer to fully scope and implement.
Zyte provides clear timelines during the scoping phase so there are no surprises.
How is data quality ensured in a managed service?
A professional managed provider should include:
Schema validation and field mapping
Automated monitoring for site changes
Error detection and alerting
Ongoing maintenance and updates
Quality assurance checks before and after delivery
At Zyte, data is validated against your defined structure and monitored continuously to ensure reliability over time.
Is outsourcing web scraping more cost-effective than building in-house?
In many cases, yes.
Building internally requires:
Engineers with scraping expertise
Proxy infrastructure
Anti-bot handling
Ongoing maintenance
Monitoring and QA
Managed services consolidate those costs into predictable pricing, often reducing long-term operational overhead — especially at scale.
How does Zyte handle site blocking and anti-bot systems?
Modern websites use sophisticated anti-bot measures. Zyte combines years of unblocking human expertise with its own proprietary, AI-powered technology to reliably access and extract data from complex sites.
This reduces downtime, failed runs, and the need for constant in-house debugging.
Can Zyte deliver data in our preferred format and schedule?
Yes.
Data can be delivered in your preferred:
Schema
File format (JSON, CSV, XML, etc.)
Delivery method (API, S3, cloud storage, etc.)
Frequency (daily, weekly, real-time, custom cadence)
The goal is to integrate seamlessly into your existing workflows.
Is Zyte Data managed web data extraction compliant and secure?
Compliance and responsible data practices are critical when outsourcing data collection, and Zyte has helped shape many of the compliance protocols for the industry, including founding the Ethical Web Data Collection Initiative (EWDCI).
Zyte has over 15 years of experience in responsible web data extraction and operates with strong compliance standards and secure data handling practices. Learn more about Zyte's compliance strategy.