Use cases

{
  "status": "success",
  "data": [
    {
      "job_id": "WX680155RP",
      "company_uuid": "00000jw-canva",
      "title": "Head of Product Design - Growth",
      "source": "linkedin",
      "job_url": "https://www.linkedin.com/jobs/view/4438650351",
      "date_posted": "2026-07-09 13:32:22+00:00",
      "location": "Sydney, New South Wales, Australia",
      "description": "Set and drive design vision and strategy across the Growth Supergroup, connecting design decisions to real growth outcomes.",
      "type": "FULL_TIME",
      "remote": false,
      "salary_min_usd": null,
      "salary_max_usd": null,
      "experience_level": "5-10",
      "key_skills": ["Design Vision", "Team Leadership", "Product Led Growth", "B2C SaaS", "AI Tools"]
    }
  ],
  "count": 226,
  "limit": 10,
  "offset": 0,
  "credits_consumed": 4
}

import requests
from collections import Counter

HEADERS = {"x-api-key": "<YOUR_API_KEY>"}

# Pull all roles via pagination
all_jobs, offset, limit = [], 0, 100
while True:
    resp = requests.get(
        "https://api.akta.pro/api/v1/company/jobs",
        headers=HEADERS,
        params={"company": "canva.com", "limit": limit, "offset": offset}
    ).json()
    all_jobs.extend(resp["data"])
    offset += limit
    if offset >= resp["count"]:
        break

# Rough function tagging from the title
def function_of(title):
    t = title.lower()
    if any(k in t for k in ["engineer", "developer", "ml", "machine learning"]): return "Engineering"
    if any(k in t for k in ["sales", "account"]): return "Sales"
    if any(k in t for k in ["design", "creative"]): return "Design/Creative"
    if any(k in t for k in ["product manager", "product management"]): return "Product"
    if any(k in t for k in ["security"]): return "Security"
    return "Other"

by_function = Counter(function_of(j["title"]) for j in all_jobs)
by_country  = Counter((j["location"].split(",")[-1].strip() or "Unknown") for j in all_jobs)

print("Open roles by function:")
for fn, n in by_function.most_common():
    print(f"  {fn:<18} {n}")

print("\nTop hiring locations:")
for loc, n in by_country.most_common(5):
    print(f"  {loc:<25} {n}")

import requests
from collections import Counter

HEADERS = {"x-api-key": "<YOUR_API_KEY>"}

resp = requests.get(
    "https://api.akta.pro/api/v1/company/jobs",
    headers=HEADERS,
    params={"company": "canva.com", "limit": 100}
).json()

skills = Counter()
for job in resp["data"]:
    skills.update(job.get("key_skills", []))

print(f"{'Skill':<32} {'Demand'}")
print("-" * 42)
for skill, n in skills.most_common(15):
    print(f"{skill:<32} {n}")

import requests
from statistics import median

HEADERS = {"x-api-key": "<YOUR_API_KEY>"}

resp = requests.get(
    "https://api.akta.pro/api/v1/company/jobs",
    headers=HEADERS,
    params={"company": "canva.com", "limit": 100}
).json()

# Only roles with disclosed pay
paid = [
    j for j in resp["data"]
    if j.get("salary_min_usd") is not None and j.get("salary_max_usd") is not None
]

if paid:
    midpoints = [(j["salary_min_usd"] + j["salary_max_usd"]) / 2 for j in paid]
    print(f"Roles with disclosed pay: {len(paid)} / {len(resp['data'])}")
    print(f"Median midpoint: ${median(midpoints):,.0f}")
    for j in sorted(paid, key=lambda x: x['salary_max_usd'], reverse=True)[:5]:
        print(f"  {j['title']:<40} ${j['salary_min_usd']:,}–${j['salary_max_usd']:,}")
else:
    print("No disclosed salary ranges in this page.")