Dataspryva

Use Trading Economics Market, Indicator & Calendar Scraper with Python

Get live commodity, currency, stock index, bond yield, and crypto quotes, country economic indicators and forecasts, global rankings, the economic calendar, public holidays, and corporate earnings releases from Trading Economics.

1. Choose the data you need

Review the published README for supported collection modes, examples, and limits. The recipe below uses the current published input definition.

2. Prepare a source-based input

This JSON contains published prefills and required-field defaults. Review every value for your task before running it; it is not a promise of successful collection.

{
  "category": "",
  "countries": [],
  "dateFrom": "",
  "dateTo": "",
  "forecastAssetClass": "commodity",
  "historySpan": "1y",
  "importance": "",
  "indicatorCategory": "",
  "indicatorHistoryUrls": [],
  "marketInterval": "auto",
  "marketSymbols": [],
  "marketType": "commodities",
  "maxItems": 3,
  "mode": "markets",
  "rankingIndicators": [
    "interest-rate"
  ],
  "searchKeyword": "",
  "searchQuery": "gold"
}

Download input.example.json and save your reviewed copy as input.json.

FieldTypeRequiredDescription
modestringrequiredWhich Trading Economics surface to collect.
marketTypestringoptionalWhich live market table to collect.
categorystringoptionalRestrict the market table to one category or region. Commodities use Energy/Metals/Agricultural/Industrial/Livestock/Index/Electricity; currencies, stocks and bonds use Major/Europe/America/Asia/Oceania/Africa; crypto uses Crypto/BTC/ETH; shares use Top Gainers/Top Losers. Leave unset for all rows.
countriesarrayoptionalOne or more countries. Required for countryIndicators, countryForecast, creditRatingHistory and bondYields. Optional for calendar, holidays and earningsCalendar (leave empty for global data).
indicatorCategorystringoptionalRestrict country indicators or forecasts to one category. `markets` only appears on the forecast page and `health` only on the indicators page. Leave unset for all categories.
rankingIndicatorsarrayoptionalOne or more indicators to rank across every country. The `rating` indicator returns sovereign credit ratings instead of a numeric series.
indicatorHistoryUrlsarrayoptionalTrading Economics indicator pages as full URLs or `country/indicator-slug`, e.g. `united-states/inflation-cpi` or `https://tradingeconomics.com/germany/unemployment-rate`. Up to 100 pages.
marketSymbolsarrayoptionalSymbols such as `CL1:COM`, `AAPL:US`, `USGG10YR:IND` or full Trading Economics market URLs. Up to 100 symbols.
forecastAssetClassstringoptionalWhich public forecast table to collect.
searchQuerystringoptionalKeyword used to resolve indicators and markets, e.g. `gold`, `inflation`, `EURUSD`. Required for mode=search.
historySpanstringoptionalHow far back to fetch historical series. `max` returns the full available history.
marketIntervalstringoptionalIntraday or daily interval for market history. Leave on `auto` to use the span's natural frequency.
searchKeywordstringoptionalCase-insensitive substring filter on the record name/title (instrument, indicator, event, company or news headline). Leave blank for no filtering.
minChangePercentnumberoptionalOnly keep instruments whose daily percent change is at least this value. Enter -5 for -5%.
maxChangePercentnumberoptionalOnly keep instruments whose daily percent change is at most this value.
dateFromstringoptionalISO date (YYYY-MM-DD). Lower bound for calendar, holidays, earnings, credit-rating history, bond yields and history points. For calendar this fetches the requested range, not just the default page.
dateTostringoptionalISO date (YYYY-MM-DD). Upper bound for the same date-aware modes.
importancestringoptionalKeep only releases/news at this market-impact level. Leave unset for all levels.
maxItemsintegeroptionalHard cap on emitted records. History modes cap the total number of points across all requested series.

3. Start an Actor run

Set APIFY_TOKEN in your environment. Python 3.10 or newer is sufficient; this recipe uses no third-party packages.

Execution may incur charges. Review current pricing on Apify. The request asks for a 120-second timeout and a charge limit; these settings are subject to Apify’s pricing and do not guarantee an all-inclusive spending cap.

import json
import os
import urllib.request

# Save the schema-derived example as input.json; review and edit it first.
with open("input.json", encoding="utf-8") as stream:
    actor_input = json.load(stream)

token = os.environ["APIFY_TOKEN"]
request = urllib.request.Request(
    "https://api.apify.com/v2/acts/fCPRkrtpRlE2ekcxC/runs?timeout=120&maxTotalChargeUsd=0.50",
    data=json.dumps(actor_input).encode("utf-8"),
    headers={"Authorization": "Bearer " + token, "Content-Type": "application/json"},
    method="POST",
)
# This starts a potentially billable run. Do not automatically retry this POST.
with urllib.request.urlopen(request, timeout=40) as response:
    run = json.load(response)["data"]
print("Run ID:", run["id"])
print("Status:", run["status"])
# Inspect and download results in Apify Console once the run succeeds.

4. Inspect the actual results

Open the run in Apify Console and wait for a successful completion. Use the published output schema to locate results and the dataset schema to understand declared views. Missing or optional record fields must not be treated as guaranteed values.

Market quotes, country indicators and forecasts, historical series, calendar events, holidays, earnings, news, search hits, credit ratings and bond yields.

Questions before you run

Which inputs are required?

The published required fields are mode

What does this guide verify?

The fields, prefills, and schema links are rendered from the published build. This is a usage recipe, not a paid live extraction test. Source availability and collection results can vary.

What if the run request times out?

Check Apify Console before retrying. The first request may already have created a run. Do not automatically repeat a run-creation POST.

Generated from source build 46I5WSgnDTPdSK55W and its README and schemas. Source changes regenerate this guide; no third-party editorial claims are inferred.