Dataczar
Browse helpers

web service

Web page snapshots: text, PDF, image, and icon helpers for live URLs. Browse the catalog below and pick the helpers that fit your workflow.

Grab your Dataczar API key

Every helper runs with the same simple API key. Sign in (or create a free Dataczar account) at Dataczar Connect to issue keys in seconds, then drop the key into any `ak=` parameter and start shipping.

Tip: reuse the same key across these helpers, or rotate keys per project from the Connect dashboard.

GETPOSTDownload (or synthesize) a site favicon.

Looks for `<link rel="icon">`, apple-touch icons, or `/favicon.ico`. If none are available the helper generates a branded fallback icon using the hostname so you always get an asset. Accepts inline HTML to skip the remote fetch during tests.

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GETPOSTRender a shareable preview image for any URL.

Builds a hero-style card that highlights the page domain, title, description, and a trimmed excerpt. Unlike a heavyweight screenshot this helper runs entirely in Python/Pillow, so it works inside Lambda without Chrome. Use it for link previews, changelog banners, or social posts.

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GETPOSTGenerate a Markdown snapshot for any page.

Fetches the requested URL (or uses inline HTML) and returns a Markdown document with the page title, URL, meta description, and the extracted body text wrapped as readable paragraphs. Perfect for saving web research into notebooks or help docs.

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GETPOSTFetch a live page (or inline HTML) and return normalized text plus metadata.

Uses the existing `/checks` snapshot pipeline to pull a URL, parse the HTML, and return a trimmed text blob along with page metadata (title, description, domain, detected assets). Pass `html` in the JSON body when you already have the markup and want to skip the remote fetch.

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GETPOSTSave any page as a lightweight PDF snapshot.

Downloads the requested URL (or consumes inline HTML), extracts the readable text, and renders a clean PDF using the same text-to-PDF engine that powers our document helpers. Great for archiving product pages or sharing research notes without external dependencies.

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