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"""
LinkedIn Post - Chocodata LinkedIn Scraper API
Post content, engagement counts, media and author by post URL.
pip install requests
export CHOCODATA_API_KEY="your_key" # free: 1,000 requests, one-time
python linkedin_scraper_api_codes/post.py "https://www.linkedin.com/posts/..."
Docs: https://chocodata.com/docs
"""
import json
import os
import sys
import requests
API = "https://api.chocodata.com/api/v1/linkedin/post"
KEY = os.environ.get("CHOCODATA_API_KEY")
DEFAULT = ("https://www.linkedin.com/posts/satyanadella_looking-ahead-to-2026-"
"activity-7411490079984250880-Vb5v")
if not KEY:
sys.exit("Set CHOCODATA_API_KEY first. Free key (1,000 requests, one-time): https://chocodata.com")
def _check(r) -> None:
"""Map the API's documented errors onto actionable messages instead of a traceback."""
if r.status_code == 400:
sys.exit(f"400 invalid_params: {r.text[:200]}")
if r.status_code == 401:
sys.exit("401 INVALID_API_KEY: key missing or not recognised. Get one: https://chocodata.com")
if r.status_code == 402:
sys.exit("402 INSUFFICIENT_CREDITS: balance exhausted. Top up or upgrade: https://chocodata.com/pricing")
if r.status_code == 429:
sys.exit("429 RATE_LIMITED: over your plan's concurrency. Back off and retry.")
if r.status_code == 404:
sys.exit(f"404 item_not_found: {r.json().get('message', 'does not exist')} (not retryable, not charged)")
if r.status_code == 502:
sys.exit("502 target_unreachable: LinkedIn refused every attempt for this request. Retryable, and you were not charged.")
r.raise_for_status()
def post(url: str, add_html: bool = False) -> dict:
"""Fetch one LinkedIn post by its public URL."""
params = {"api_key": KEY, "url": url}
if add_html:
params["add_html"] = "true"
r = requests.get(API, params=params, timeout=90)
_check(r)
return r.json()
if __name__ == "__main__":
url = sys.argv[1] if len(sys.argv) > 1 else DEFAULT
data = post(url)
print(json.dumps(data, indent=2)[:1300])
print()
eng = data["engagement"]
print(f"{data['postAuthor']['authorName']} posted {data['postedAt']}")
print(f"likes: {eng['likes']} | comments: {eng['comments']} | "
f"media: {len(data['media'])} | shares/views: {eng['shares']}/{eng['views']} (not public)")