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Economic Calendar Scraper

Pricing

from $2.99 / 1,000 results

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Economic Calendar Scraper

Economic Calendar Scraper

Extract economic calendar events — country, importance, actual / forecast / previous

Pricing

from $2.99 / 1,000 results

Rating

0.0

(0)

Developer

PowerAI

PowerAI

Maintained by Community

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0

Bookmarked

2

Total users

1

Monthly active users

3 days ago

Last modified

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Pull economic calendar events for a date range: country, currency, importance, and actual / forecast / previous values. Filter by countries, impact level, and event category.

Data comes from the calendar site’s structured events API after a real browser clears bot protection. Rows are joined occurrences (timed releases) with event metadata — not fragile HTML table scraping.

Features

  • Date range (fromDate / toDate, defaults to today)
  • Country filter (major economies + emerging markets)
  • Importance: high / medium / low
  • Categories: inflation, employment, central banks, and more
  • Time zone for local event times
  • Pagination across large ranges (safety cap at 100,000 when unlimited)

Input

FieldTypeDefaultDescription
countriesarray[]Country names (lowercase keys). Empty = all
importancesarray[]high / medium / low. Empty = all
categoriesarray[]e.g. inflation, employment. Empty = all
fromDatestringtodayYYYY-MM-DD
toDatestring= fromDateYYYY-MM-DD
timeZonestringGMTOffset used for displayed times and the query window
maxResultsinteger1000Cap; 0 = no limit (safety ceiling 100,000)
proxyConfigurationobject—Residential proxy recommended on Apify

Input example

{
"countries": ["united states", "euro zone"],
"importances": ["high", "medium"],
"fromDate": "2026-10-20",
"toDate": "2026-10-27",
"timeZone": "GMT",
"maxResults": 200
}

Output

One dataset item per event occurrence:

FieldDescription
date / time / dateTimeLocal date/time in the chosen time zone
country / countryId / currencyGeography and currency
event / eventLong / eventIdEvent names and id
importance / categoryImpact and category
actual / forecast / previousValues (number or string with unit)
unit / referencePeriodUnit and reporting period
url / sourceEvent page and data source
occurrenceId / occurrenceTimeUtc / scrapedAtIds and provenance

Tips

  • Wide date ranges return a lot of low-impact noise — filter by importances and countries first.
  • Start with a small maxResults to validate proxies, then raise the limit.
  • If the site serves a challenge page, use a residential proxy and retry.