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Extract content research data for any keyword — People Also Ask questions, Reddit and Quora discussions, and AI-generated meta titles and descriptions.
Full endpoint reference available on Swagger.

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Quick Start

Create a keyword content order to extract People Also Ask questions: 
import os
import requests

API_KEY = os.environ["KWI_API_KEY"]
BASE_URL = "https://api.keywordinsights.ai"
HEADERS = {"X-API-Key": API_KEY}

payload = {
    "keyword": "best project management tools",
    "language": "en",
    "location": "United States",
    "content_insights": ["paa"],
}

response = requests.post(
    f"{BASE_URL}/api/keyword-content/order/",
    headers=HEADERS,
    json=payload,
)

data = response.json()
print(data)
# {"status": true, "order_id": "2879fa0b-...", "cost": 50}

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Endpoints

MethodPathDescription
POST/api/keyword-content/order/Create a keyword content order
GET/api/keyword-content/order/?order_id={id}Get order status and results

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Parameters

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Required

ParameterTypeDescription
keywordstringTarget keyword to research
languagestringLanguage code (e.g. en). See /api/content-brief/languages/
locationstringLocation name (e.g. United States). See /api/keywords-insights/locations/
content_insightsstring[]Types of content insights to extract (see below)

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Optional

ParameterTypeDefaultDescription
devicestringdesktopdesktop or mobile

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Content Insight Types

The content_insights array controls which data is extracted. You can combine multiple types in a single order:
InsightDescriptionCost
paaPeople Also Ask questions from Google SERP50 credits
reddit_questionsRelated Reddit discussions and questions50 credits
quora_questionsRelated Quora questions50 credits
meta_titlesAI-generated meta title suggestions200 credits
meta_descriptionsAI-generated meta description suggestions200 credits
Total cost = sum of selected insights.

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Customizations

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All Content Insights

Extract everything in a single order: 
payload = {
    "keyword": "email marketing automation",
    "language": "en",
    "location": "United States",
    "content_insights": [
        "paa",
        "reddit_questions",
        "quora_questions",
        "meta_titles",
        "meta_descriptions",
    ],
}
# Cost: 50 + 50 + 50 + 200 + 200 = 550 credits

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Questions Only

Get user questions from multiple platforms at a lower cost: 
payload = {
    "keyword": "best CRM software",
    "language": "en",
    "location": "United States",
    "content_insights": ["paa", "reddit_questions", "quora_questions"],
}
# Cost: 50 + 50 + 50 = 150 credits

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Retrieving Results

Poll until the order status is "done": 
import os
import time
import requests

API_KEY = os.environ["KWI_API_KEY"]
BASE_URL = "https://api.keywordinsights.ai"
HEADERS = {"X-API-Key": API_KEY}

order_id = "2879fa0b-deae-4aab-ad87-fd8fb8db9717"

while True:
    response = requests.get(
        f"{BASE_URL}/api/keyword-content/order/",
        headers=HEADERS,
        params={"order_id": order_id},
    )

    data = response.json()["result"]["payload"]

    if data["status"] == "done":
        break

    print("Processing...")
    time.sleep(10)

results = data["results"]

# People Also Ask
if "paa" in results:
    print("People Also Ask:")
    for q in results["paa"]:
        print(f"  - {q}")

# Reddit questions
if "reddit_questions" in results:
    print("\nReddit questions:")
    for q in results["reddit_questions"]:
        print(f"  - {q}")

# AI meta titles
if "meta_titles" in results:
    print("\nSuggested meta titles:")
    for title in results["meta_titles"]:
        print(f"  - {title}")
The results include download links for CSV exports: 
# Download CSV files
files = results.get("files", {}).get("csv", {})
for insight_type, download_url in files.items():
    print(f"{insight_type}: {download_url}")

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Complete Example

Extract People Also Ask and Reddit questions, then save results to a file: 
import os
import time
import json
import requests

API_KEY = os.environ["KWI_API_KEY"]
BASE_URL = "https://api.keywordinsights.ai"
HEADERS = {"X-API-Key": API_KEY}


def create_content_order(keyword, insights, language="en", location="United States"):
    """Create a keyword content order."""
    response = requests.post(
        f"{BASE_URL}/api/keyword-content/order/",
        headers=HEADERS,
        json={
            "keyword": keyword,
            "language": language,
            "location": location,
            "content_insights": insights,
        },
    )
    response.raise_for_status()
    return response.json()


def wait_for_results(order_id):
    """Poll until results are ready."""
    while True:
        response = requests.get(
            f"{BASE_URL}/api/keyword-content/order/",
            headers=HEADERS,
            params={"order_id": order_id},
        )
        data = response.json()["result"]["payload"]

        if data["status"] == "done":
            return data["results"]

        print("Processing...")
        time.sleep(10)


# --- Run ---

result = create_content_order(
    keyword="best project management tools",
    insights=["paa", "reddit_questions"],
)
order_id = result["order_id"]
print(f"Order created: {order_id} (cost: {result['cost']} credits)")

results = wait_for_results(order_id)

# Save to file
with open("content_research.json", "w") as f:
    json.dump(results, f, indent=2)

paa_count = len(results.get("paa", []))
reddit_count = len(results.get("reddit_questions", []))
print(f"Saved {paa_count} PAA questions and {reddit_count} Reddit questions")