Should I use avesapi.com's HTML export or JSON data output?

Updated

Choose the format that matches what happens after the API returns data. If you already run your own parser, take the HTML export and keep your existing extraction logic. If you have no parser and want fields ready to use, take the JSON output. Both are real-time results from the same API, and each request costs 1 credit regardless of format, so the decision is about your pipeline, not price.

The two formats at a glance

Dimension HTML export JSON output
Best for Teams with an existing parser Teams without a parser
What you get Precise HTML results for your query, device, and location Structured data including videos, images, maps, and answer boxes
Integration work You extract the fields yourself Fields are already structured for direct use
Result freshness Real-time Real-time
Cost per request 1 credit 1 credit

The page presents these as two parallel paths: "Already have a parser? Our versatile HTML export feature integrates seamlessly into your workflow" and "No parser? No problem! Our Powerful API delivers structured JSON data."

When HTML export is the right call

Pick HTML if your system already turns raw search markup into your own schema. You keep full control over which elements you read and how you normalize them, and you avoid rewriting extraction rules to fit someone else's field names.

This path makes sense when:

  • You maintain a parser and it already handles the search engines you target.
  • You need markup details that a structured response might not expose.
  • You want to reuse one extraction layer across multiple data sources.

The trade-off is maintenance. Search result pages change, so your parser needs attention over time. The API removes the proxy and captcha work, but it does not remove your parsing work.

When JSON output is the right call

Pick JSON if you want to skip parsing entirely and go straight to usable fields. The structured response covers videos, images, maps, and answer boxes alongside ads and organic results, which is the set most rank trackers and SEO dashboards need.

This path makes sense when:

  • You have no parser and don't want to build one.
  • You need to ship a rank tracker or SEO feature quickly.
  • Your downstream code expects named fields rather than markup.

The trade-off is less control. You work with the fields the API provides rather than deciding yourself what to extract.

What both options share

Format is the only real difference in the decision. Everything else is identical:

  • Real-time results. Every request returns a live result; the page states it does not currently support priorities.
  • Geo-targeting. Both formats support geo-specific requests through UULE, country, and city parameters.
  • Pricing model. Pay-per-request, no monthly subscription required, and you pay only on successful requests. Each request costs 1 credit.
  • Packages. Free test at 1K requests, Starter at $50 for 25K requests, Premium at $125 for 100K, and Professional at $500 for 500K. The page notes to check pricing if you need big-volume search limits.

Because credits are consumed the same way in either format, you can test both against your own workload before committing.

A practical way to decide

  1. Ask whether a parser already exists in your stack. If yes, HTML is the lower-effort path. If no, JSON is.
  2. Take the free test tier (1K requests) and run the same queries in both formats.
  3. Measure the work left after the response arrives: with HTML it is extraction; with JSON it is mapping fields into your schema.
  4. Pick the format with less remaining work, then size the package against your request volume.

If you are still weighing whether the API fits your use case at all, the same page covers the broader feature set for rank trackers and SEO platforms.