Analyze Solar Wind and X-ray Flux
Build aligned NOAA solar-wind and GOES X-ray time series for space-science analysis.

Build aligned NOAA solar-wind and GOES X-ray time series for space-science analysis. The NOAA Space Weather Scraper provides a bounded connector to the authoritative publisher while preserving stable identifiers and source URLs on every row.
Start with a small, reviewable query
{"product":"planetary_k_index","maxResults":250}Run a small sample before expanding the result limit. Inspect identifiers, dates, null values, units, qualifiers, and source fields in the Apify Dataset. Export as JSON for nested fields or CSV and Excel for review. For recurring ingestion, upsert on the publisher stable record dimensions instead of assuming every run is append-only.
Build a reliable data pipeline
The Actor uses direct HTTP requests, bounded inputs, transient-error retries, and explicit empty-result failures. It does not require a browser or paid proxy, so scheduled runs remain inexpensive. Keep the input in an Apify Task, send completion through a webhook, and load the dataset into a warehouse or dashboard. Store collection time downstream so source revisions can be distinguished from newly published records.
Interpret the source responsibly
Official publication does not remove the need for context. Preserve footnotes, status fields, dataset type, reporting period, and source attribution. A missing value is not zero, and a revised record is not necessarily a new event. For legal, medical, financial, safety, protection, or public-policy decisions, confirm material findings with the publisher and a qualified specialist.
This workflow is designed for space-weather researchers, infrastructure teams, and science educators. It is an independent integration and is not affiliated with or endorsed by the source institution.
Align the two time series before analysis
Solar-wind measurements and GOES X-ray flux may have different cadences, gaps, and timestamps. Convert times to UTC, keep the native observations, and create a separate resampled analysis table rather than overwriting source values. Record which satellite or channel produced an X-ray measurement and preserve solar-wind density, speed, temperature, and magnetic components as distinct fields. Use robust gap rules before calculating correlations or event windows. Sudden X-ray changes can mark solar flares, while solar-wind conditions relate to later geospace effects, but a chart alone cannot establish a causal chain. Reference SWPC products when defining thresholds.
Frequently asked questions
Does this workflow require a source API key?
No. It uses the source publisher public keyless interface.
Can I schedule the export?
Yes. Save the input as an Apify Task and attach a schedule or webhook.
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