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Extract current official e-Residency headline and country metrics from the dashboard's embedded Next.js data.
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Based on SOC occupation classification
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| name | e-residency-dashboard |
| description | Extract current official e-Residency headline and country metrics from the dashboard's embedded Next.js data. |
Use this source for programme totals, recent applications, e-resident companies, and country rankings. Use business-register-open-data for legal-entity records.
https://www.e-resident.gov.ee/dashboard/
The page has no documented data API. Its server HTML contains React Flight calls of the form self.__next_f.push([1,"..."]) with the dashboard data inside the string payload.
self.__next_f.push((\[.*?\]))</script> call with DOTALL and decode the captured array using a JSON parser.1 when it is a string. In the decoded strings, locate a quoted metric key followed by : and use a JSON decoder's raw_decode at the next character to parse its value.top-figures: objects with names and valuestop-countries-by-number-of-applications-in-the-last-12-months: citizenship, code, valuetop-countries-by-number-of-e-residents: citizenship, code, valueDo not scrape chart pixels or assume these cumulative figures equal Business Register counts. The frontend payload can change, so fail clearly if a requested key is absent.
The current page yields five top-figures rows and nonempty country arrays with two-letter country codes and numeric values.