The best starting point for overpass queries is the Openstreetmap wiki, to follow the overpass-turbo link on the left. It generates the following query:

[out:json][timeout:25];
// gather results
(
  // query part for: “aeroway=aerodrome”
  node["aeroway"="aerodrome"]({{bbox}});
  way["aeroway"="aerodrome"]({{bbox}});
  relation["aeroway"="aerodrome"]({{bbox}});
);
// print results
out body;
>;
out skel qt;

You have to move the map to the area of interest, or modify the query like this:

area["name"="Île-de-France"]->.boundaryarea;
(
node(area.boundaryarea)["aeroway"="aerodrome"];
way(area.boundaryarea)["aeroway"="aerodrome"];>;
relation(area.boundaryarea)["aeroway"="aerodrome"];>>;
);
out meta;

You will get 2 relations, 37 ways and 2031 nodes, or in GIS notation 24 polygons, 9 lines and 16 POI.

The best starting point for overpass queries is the Openstreetmap wiki, follow the overpass-turbo link on the left. It generates the following query:

[out:json][timeout:25];
// gather results
(
  // query part for: “aeroway=aerodrome”
  node["aeroway"="aerodrome"]({{bbox}});
  way["aeroway"="aerodrome"]({{bbox}});
  relation["aeroway"="aerodrome"]({{bbox}});
);
// print results
out body;
>;
out skel qt;

You have to move the map to the area of interest, or modify the query like this:

area["name"="Île-de-France"]->.boundaryarea;
(
node(area.boundaryarea)["aeroway"="aerodrome"];
way(area.boundaryarea)["aeroway"="aerodrome"];>;
relation(area.boundaryarea)["aeroway"="aerodrome"];>>;
);
out meta;

You will get 2 relations, 37 ways and 2031 nodes, or in GIS notation 24 polygons, 9 lines and 16 POI.