How to get French Fuel Station Prices with the API
Live French petrol, diesel, E10, E85, and LPG prices from the official Prix Carburants open data feed. A run saves one row per result.
Set up the Apify actor
Apify is where this run is collected. An actor is the program that collects the rows. A task is that program saved with your settings, so the next section can ask for the latest rows. You need a free Apify account.
- 01Open French Fuel Station Prices and click Try for free. Create an Apify account if you do not have one. The Free plan does not ask for a card.
- 02You are on the input form. Keep the sample for this first run.
{ "latitude": 48.8566, "longitude": 2.3522, "radiusKm": 3, "maxItems": 5 } - 03Leave the proxy setting as it is. Click Start and wait until the run says Succeeded.
- 04Open Storage, then Dataset. You should see
stationId,city,postcode,latitude. - 05When you want the real list, raise maxItems. The sample cap is only there so the first run stays small.
- 06Go back to the input and choose Save as a new task. Name it after this list.
- 07Open the task. Copy the task ID from the address bar. Excel, Sheets, Power BI, and the other guides ask for this ID.
- 08On the task, open Schedules and add a weekly run if you want fresh rows. Each run pays the start charge and the charge for the rows. The amounts are in the price list on this page.
- 09Open Settings, then API & Integrations, and copy an API token. Excel, Sheets, and the other guides put this token in a download link. Anyone with that link can download the rows, so treat it like a password.
How to set up with the API
- 01Use the API token from Set up the Apify actor, above.
- 02Send this request. Replace
YOUR_TOKEN. It waits up to 120 seconds.curl -X POST "https:// api.apify.com/ v2/ acts/ bakos_bence~fr-fuel-stations/ runs? token=YOUR_TOKEN& waitForFinish=120" \ -H "Content-Type: application/ json" \ -d '{ "latitude": 48.8566, "longitude": 2.3522, "radiusKm": 3, "maxItems": 5 }' - 03From the response, copy
defaultDatasetId. - 04Fetch the rows. Replace
DATASET_IDandYOUR_TOKEN.https:// api.apify.com/ v2/ datasets/ DATASET_ID/ items? format=json& clean=true& token=YOUR_TOKEN - 05To repeat it, use the task and the weekly schedule from Set up the Apify actor, above. A scheduled task's newest rows are this URL, with your task id and token:
https:// api.apify.com/ v2/ actor-tasks/ TASK_ID/ runs/ last/ dataset/ items? format=json& clean=true& status=SUCCEEDED& token=YOUR_TOKEN - 06Anyone with a URL that contains the token can read the rows.
Schema
Examples come from the actor sample, not a live result.
| Name | Description | Example |
|---|---|---|
stationId | Station Id | 75013025 |
city | City | PARIS |
postcode | Postcode | 75013 |
latitude | Latitude | 48.8566 |
longitude | Longitude | 2.3522 |
fuel | Fuel | Gazole |
priceEur | Price Eur | 2.25 |
priceUpdatedAt | Price Updated At | 2026-09-20 |
sourceUrl | Source Url | https:/ |
scrapedAt | Scraped At | 2026-09-24T12:00:00.000Z |
stationIdStation Id75013025cityCityPARISpostcodePostcode75013latitudeLatitude48.8566longitudeLongitude2.3522fuelFuelGazolepriceEurPrice Eur2.25priceUpdatedAtPrice Updated At2026-09-20sourceUrlSource Urlhttps:// donnees.roulez-eco.fr/ opendata/ instantane scrapedAtScraped At2026-09-24T12:00:00.000Z
The same row as JSON
{
"stationId": "75013025",
"city": "PARIS",
"postcode": "75013",
"latitude": "48.8566",
"longitude": "2.3522",
"fuel": "Gazole",
"priceEur": "2.25",
"priceUpdatedAt": "2026-09-20",
"sourceUrl": "https://donnees.roulez-eco.fr/opendata/instantane",
"scrapedAt": "2026-09-24T12:00:00.000Z"
}