Zyte Data Services

Custom data extraction faster than anyone else

Built by AI. Owned by engineers. Sample in 1 day, production data in 2 days

Sage AI Labs
Red Bull
McDonald's
Muck Rack
Odeon
Edmunds
Data Impact by NielsenIQ
Agave Capital Management
Alphabet
AMC Theatres
Analytic Index
MikMak
Holocron Technologies

Revenue growth

Is revenue growth limited by data feeds?

Your team can build it, just not fast enough to support your revenue growth. We get you the data in days, so you can hit your revenue targets.

  • New markets: launch in new geographies or categories without waiting on your team to build the feeds
  • Wider coverage: add more retailers, locations or sources in the markets you already serve, and outsell competitors on depth
  • Sell it first: pitch offerings you don't have yet, knowing the data will be ready when the contract is signed
Request your sample

Business continuity

A critical data feed has failed, now what?

If your data feed stops, everything built on that data stops. We get you the data in days, so your feed gets back up and running.

  • Switch fast: a sample within a day, then production data in days
  • No single point of failure: add a second source, the way you would for any other critical supplier
  • A promise you can trust: 15 years in web data, ISO 27001 certified, with legal and compliance built in
Request your sample

How we deliver

Built by AI. Owned by engineers

We use AI where it adds the most and put people where judgement matters.

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01

Engineers who own the result

They review everything before it ships, make the judgement calls and stay accountable when sites change.

02

AI that does the heavy lifting

It builds the extraction, runs it and QAs every delivery. That's what makes it days not months, and why the price holds.

03

The web scraping stack

Industry-leading, award winning, web scraping technology stack. We control the whole infrastructure.

Build vs buy

Build it in months, or buy it in days

Your team can build it. Every month spent building is a month of delayed revenue. Zyte gets you reliable data in two days and keeps it flowing.

  • Buy from Zyte
  • Build in-house
Your data over three months: buying from Zyte versus building in-houseAn illustrative line chart. Buying from Zyte reaches full data in around 10 days and holds there. Building in-house climbs slowly over three months, knocked back as sites change, access gets blocked and data goes missing, and only nearly catches up after three months.Site changesAccess blockedData gapsMonth 1Month 2Month 3Your data

If it's web data, we've delivered it.

Process

Sample in a day, a quality-assured feed in two

When data projects slip, the most common cause is poorly defined scope. So we get real sample data in front of you on day one. We scope that timeline with you before production data starts flowing.

  1. Step 1

    Discover

    We agree your sources, fields and freshness on the call, and our AI checks them against the sites we already collect from. You get real data from your actual sources, in your schema, inside a day.

  2. Step 2

    Build

    Our AI does the building. It reads each site, generates the extraction against your schema, runs it and QAs the output, turning weeks into days.

  3. Step 3

    Review

    Our engineers do the parts that need judgement. The team that wrote Scrapy reviews what the AI built, resolves schema conflicts and handles the sites that don't behave.

  4. Step 4

    Live

    Accepted feeds move into production. It's the handover from onboarding, not the finish line.

  5. Step 5

    Monitoring

    Scheduled runs, monitoring and AI-assisted checks keep every feed accurate and uninterrupted. When your requirements change, we show you the impact before you commit.

Data quality

Quality isn't the pitch. It's the prerequisite.

You shouldn't have to ask whether the data will be accurate. So we don't lead with it, we just define it, measure it, and report it.

Every feed is governed against agreed, inspectable measures: accuracy, completeness, validity, consistency, and timeliness, weighted to your use case. A pricing feed is held to field accuracy and delivery timing. A coverage feed is held to completeness. You see the scores, not a slogan.

Measure weighting

weighted to: Pricing feed

AccuracyHigh
TimelinessHigh
CompletenessMedium
ValidityMedium
ConsistencyLow

Compliance

Compliance-aware from the first conversation

Web data compliance is its own discipline, and our legal team works on it full time. Every project is reviewed for compliance risk while it's being scoped, not after delivery, and Zyte is ISO 27001 certified.

Visit our compliance centre

FAQ

Questions teams ask before they buy

A managed web data service delivers the web data you need, to your specification, without you building or maintaining any scraping infrastructure.

You tell us the sites, the fields and how often you need the data. We build the extraction, run it, monitor it and fix it when sites change. With Zyte Data, AI builds each feed and our engineers review it before anything ships, so you get production data in days rather than months, and the ongoing maintenance stays with us, not your team.

You get a sample from your own target sites, in the schema you asked for, within one day, and production data within two days.

We agree your sources, fields and freshness on the first call, and our AI checks them against the sites we already collect from. AI then builds the extraction, and our engineers review it before anything is delivered. Larger multi-site programmes with complex custom schemas can take longer, and we agree that timeline with you up front so there are no surprises.

Zyte Data is priced as a monthly fee for the feed, scoped to your sites, fields, frequency, and volume. Because AI builds the feed to your exact schema, a custom feed from a single source typically starts around $500 a month, and each additional source on the same feed adds about $200 a month.

Request a sample and you get real data and a price together, before you commit.

Yes. Many teams use Zyte Data as a second source for their most critical feeds, the way they would for any other critical supplier, or hand us the sites their own team doesn’t have time for.

We can run in parallel with your current provider or in-house pipeline from day one, delivering to the schema and destination you already use. Start with the feeds that carry the most risk or the most maintenance, and take on more when you need us to.

We monitor every feed and fix it when a site changes, so your data keeps arriving.

Scheduled runs are checked automatically, with AI-assisted checks on schema, coverage and extraction accuracy every time. When a site’s layout changes, we update the extraction rather than leaving you with gaps. Access runs through Zyte API, which handles bans and anti-bot measures automatically, so you’re not left waiting on a fix and your team isn’t pulled off other work to chase one.

Yes. Zyte brings specialist legal and compliance expertise to every project, and Zyte is ISO 27001 certified.

Collection is designed not to burden the websites it visits, and stays mindful of applicable legal and regulatory constraints. Semi-automated review flags compliance risks early, and our legal team is brought in when a requirement, source or use case calls for it, during diligence rather than after delivery. What you collect and how the data is used stays your decision, on agreed terms, and we can put our legal team on a call with yours at no cost before you commit.

JSON, CSV, XML or another format you need, delivered to your own cloud storage on the schedule you set.

The schema is agreed with you up front and held on every delivery, so the fields arrive named and structured the way your systems expect. You can take full snapshots or just the changes since the last delivery, and schedules can be set to land before the processes that depend on the data start.