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Pay per event

EDGAR JRC Global GHG Emissions Database Scraper

Pull country, sector, gas, and year GHG emissions from EU JRC EDGAR — the most-cited global GHG dataset (IPCC AR6, EU Green Deal). CO2, CH4, N2O, F-gases and AR5 CO2e totals 1970-2023. Includes IEA-EDGAR CO2 fuel-combustion subset. No auth or proxy needed.

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Pay per event

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Developer

BowTiedRaccoon

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Monthly active users

4 days ago

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You can access the EDGAR JRC Global GHG Emissions Database Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "sp_intended_usage": "Describe your intended use...",
10    "sp_improvement_suggestions": "Share your suggestions here...",
11    "sp_contact": "Share your email here...",
12    "gases": [
13        "CO2",
14        "CH4",
15        "N2O",
16        "AR5_GHG",
17    ],
18    "datasetVersion": "",
19    "countries": [],
20    "yearFrom": 2000,
21    "yearTo": 2023,
22    "includeIeaFuelCombustion": True,
23    "includeSectorBreakdown": True,
24    "includeMonthly": False,
25    "maxItems": 15,
26}
27
28# Run the Actor and wait for it to finish
29run = client.actor("jungle_synthesizer/edgar-jrc-ghg-emissions-database-scraper").call(run_input=run_input)
30
31# Fetch and print Actor results from the run's dataset (if there are any)
32print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
33for item in client.dataset(run["defaultDatasetId"]).iterate_items():
34    print(item)
35
36# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

EDGAR JRC Global GHG Emissions Database Scraper API in Python

The Apify API client for Python is the official library that allows you to use EDGAR JRC Global GHG Emissions Database Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

EDGAR JRC Global GHG Emissions Database Scraper API in JavaScript

EDGAR JRC Global GHG Emissions Database Scraper API through CLI

EDGAR JRC Global GHG Emissions Database Scraper OpenAPI definition

EDGAR JRC Global GHG Emissions Database Scraper API

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