Planning and construction intelligence, by API, in your stack.

import pandas as pd, requests

# Stream the whole filtered dataset as JSONL straight into a DataFrame.
url = "https://planningleads.ie/api/v1/export/applications.jsonl"
headers = {"Authorization": "Bearer pl_live_…"}
params = {"readiness": "commencing", "min_units": 20}

resp = requests.get(url, headers=headers, params=params, stream=True)
df = pd.read_json(resp.raw, lines=True)

print(df[["planning_authority", "est_value", "lead_readiness"]].head())

# Add the live pipeline to QGIS or ArcGIS Pro as a layer.
# QGIS: Layer > Add Layer > Add Vector Layer, Protocol HTTP(S), and this URL,
# with Authentication set to a Bearer token.
curl -H "Authorization: Bearer pl_live_…" \
  "https://planningleads.ie/api/v1/feeds/leads.geojson?page_size=5000&updated_since=2026-09-01"

# Filter the layer the way you would any other: by bounding box, by authority,
# or by date so a scheduled refresh pulls only what changed.
#   ?bbox=-6.30,53.33,-6.25,53.36
#   ?authority=Dublin%20City%20Council
#   ?since=2026-09-01        # first seen
#   ?updated_since=2026-09-01  # changed since

# The strategic pipeline is a second layer: every project An Coimisiun Pleanala
# consents directly, with capacity in MW, connection voltage and auction round.
curl -H "Authorization: Bearer pl_live_…" \
  "https://planningleads.ie/api/v1/feeds/infrastructure.geojson?vertical=battery_storage&min_mw=50"