There are two different ways to convert a website to JSON: retrieve structured data the site already publishes, or extract page content and map it into a JSON format you define. First check for an official API or feed; then inspect the page for JSON-LD. If the fields you need are not present, extract the relevant HTML elements and build your own schema. Pages that rely on JavaScript may require browser rendering.
Choose the right conversion method
| Your goal | Start here | What you get |
|---|---|---|
| Retrieve data the site already exposes | Official API or downloadable feed | Data in a format intended for reuse, subject to the site’s access rules |
| Read structured fields embedded in a page | JSON-LD in the page’s HTML | Existing structured data, which may not include every visible page detail |
| Create a custom record from visible content | Extract specific HTML elements and map them to your schema | Only the fields and structure your extraction rules define |
| Capture content rendered by JavaScript | Use a browser-rendering approach, then extract the rendered page | Content available after rendering; results depend on the target page and its behavior |
These methods are not interchangeable. JSON-LD processing can retrieve and process structured data already in a page; it cannot decide how arbitrary text, prices, or links should fit a custom data model. For custom JSON, you must choose the fields and rules.
Check for an API, feed, or JSON-LD first
Look for an official data source
Before parsing presentation HTML, check whether the site provides an API or downloadable feed. An official source is often a better fit when you need reusable records rather than the way information happens to be displayed on a page. Confirm its documentation, authentication requirements, and usage limits for the site you are working with.
Inspect the HTML for JSON-LD
JSON-LD is structured data embedded in HTML, commonly in a <script type="application/ld+json"> element. Google’s structured-data guide generally recommends JSON-LD for adding structured data when a site’s setup allows it; the W3C processing specification is the more relevant reference for reading and processing existing JSON-LD. See the Google structured-data introduction and the W3C JSON-LD 1.1 Processing Algorithms and API.
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To inspect manually, open the page source or developer tools and search for application/ld+json. Check whether the script contains the exact fields you need. A page may publish structured data for one purpose without representing all of its visible content. Google’s site-name example illustrates one specific use of JSON-LD; it is not a universal rule about what every page will contain.
Process existing JSON-LD
If the page already includes the data you need, use a JSON-LD processor rather than treating the script as an arbitrary custom schema. The W3C recommendation defines processing algorithms and an API for transforming JSON-LD documents. It also describes optional HTML script extraction by supporting document loaders; the specified HTML content algorithm covers documents served as text/html and application/xhtml+xml.
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In practical terms, retrieve the page and pass the HTML to a processor whose document loader supports extracting JSON-LD scripts. Then inspect the processed result and decide which values your application needs. Loader capabilities vary, so verify HTML extraction support in the processor you select. The W3C specification explains the processing model, but does not guarantee that a particular page contains JSON-LD or that a processor will retrieve a page successfully.
Build custom JSON when the page has no suitable fields
Define the output before extracting
Choose a stable schema for the information you want to retain. For example, a simple product record might look like this:
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{
"name": "Example item",
"price": "19.99",
"currency": "USD",
"url": "https://example.com/item"
}This is an example schema, not a format that websites universally publish. Decide how to handle missing values, repeated elements, text cleanup, and links before scaling extraction beyond one page.
Select the page elements that supply each field
For each JSON key, identify the corresponding HTML element and the value to read, such as its text, an attribute, or a URL. Keep extraction rules specific to the page structure you are targeting. If the site changes its markup, selectors may stop matching or point to different content; validate the output rather than assuming successful parsing means correct data.
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Cloudflare documents a /scrape endpoint that accepts a URL or HTML and selectors, returning selected-element details such as dimensions and inner HTML. That is one vendor-specific extraction option, not a guarantee that it fits every site or returns your desired custom schema. See Cloudflare’s /scrape documentation. LLMCrawl also describes one-page scraping and site crawling with structured JSON output in its own service documentation; treat that as a vendor’s description, not an independent evaluation.
Use browser rendering only when the response needs it
Some pages do not include the content you need in the initial HTML response because it is rendered or loaded in the browser. In that case, use a browser-rendering approach, wait for the relevant content to appear, and then apply your extraction rules. Browser rendering adds operational complexity and does not remove the need to define the JSON fields yourself.
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Check access rules before automating
Review the target site’s access instructions and terms before collecting data. Google explains that robots.txt tells search-engine crawlers which URLs they may access and is mainly used to manage crawler access and traffic. It is not a privacy mechanism or a reliable way to keep a URL out of search results: a blocked URL can still appear. Read Google’s robots.txt guide. Robots rules do not settle other access, contractual, privacy, or copyright questions; those depend on the target and circumstances.
Or skip the browser setup
If your custom extraction requires a rendered screenshot rather than structured page data, ScreenshotNeo can return a screenshot or PDF through one GET request. It accepts consent banners as a visitor and removes more than 60 known consent platforms, newsletter popups, and chat widgets before capture; each step can be turned off. Bot checks and CAPTCHAs, blank pages, timeouts, failed loads, and cache hits are not billed, and responses identify the page verdict and billing status in headers. It also provides an MCP server for AI agents, with tools including take_screenshot, get_page_info, and capture_pdf. A screenshot is not a substitute for extracting JSON-LD or mapping HTML fields into a JSON schema.
See the ScreenshotNeo API documentation. Example cURL request:
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Troubleshoot common conversion problems
- No JSON-LD appears in the HTML: The page may not publish it, or it may be added only after rendering. Check the rendered page if appropriate; otherwise use an API, feed, or custom HTML extraction.
- The JSON-LD exists but lacks your fields: It represents only the structured data the site chose to publish. Extract the missing content from page elements and map it into your own schema.
- Your selector returns no element: Confirm the selector matches the page’s current markup and that the content has loaded before extraction. A selector-based service can report selected-element details, but its results depend on the supplied selector and target page.
- The result is incomplete on a JavaScript-heavy page: Compare the initial HTML with the rendered page. If the content appears only after browser execution, use browser rendering and wait for the relevant element or content state.
- A crawler cannot access the URL: Check the site’s stated access instructions and whether authentication or other restrictions apply. A robots.txt rule concerns crawler access; it does not grant permission or resolve other terms.
- The output is valid JSON but contains the wrong values: Validate the mapping field by field. Syntactic validity only confirms the output can be parsed; it does not prove that selectors captured the intended page content.
Plan for maintenance and operating costs
An API or feed can reduce dependence on presentation markup, while custom extraction ties your code to the page structure you target. Browser rendering can reach content absent from the initial response, but it adds a rendering step. For any method, test representative pages, handle missing fields explicitly, and recheck output when the site changes. Whether a hosted service is worthwhile depends on your page volume, required rendering, schema needs, and the time you can spend maintaining extraction code; no single approach is established as best for every site.
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