People Also Ask API: Google's PAA questions as JSON

{
  "success": true,
  "searchParameters": {
    "q": "how to descale a kettle",
    "gl": "gb",
    "hl": "en",
    "page": 1,
    "pages": 1,
    "num": 10,
    "device": "desktop",
    "type": "serp"
  },
  "organic": [
    {
      "position": 1,
      "title": "How to descale a kettle: 4 easy methods",
      "url": "https://www.example.co.uk/descale-kettle",
      "redirectUrl": null,
      "resolved": true,
      "displayedUrl": "https://www.example.co.uk › cleaning",
      "domain": "example.co.uk",
      "snippet": "Fill the kettle halfway with equal parts water and white vinegar…",
      "date": null,
      "page": 1
    }
  ],
  "peopleAlsoAsk": [
    { "question": "What is the best way to descale a kettle?" },
    { "question": "Can you descale a kettle with vinegar?" },
    { "question": "How often should you descale a kettle?" },
    { "question": "Is limescale in a kettle harmful?" }
  ],
  "relatedSearches": [
    { "query": "how to descale a kettle with lemon" },
    { "query": "how to descale a kettle without vinegar" },
    { "query": "kettle descaler" }
  ],
  "videos": [],
  "ads": [],
  "knowledgeGraph": null,
  "aiModeAvailable": false,
  "pagesFetched": 1,
  "gotoResolved": 0,
  "fetchedAt": "2026-09-29T09:14:03.512Z",
  "source": "searlo.tech(google_serp)",
  "cached": false
}

curl "https://api.searlo.tech/api/v1/serp?q=how+to+descale+a+kettle&gl=gb&hl=en&aioverview=false" \
  -H "x-api-key: YOUR_API_KEY"

import requests

resp = requests.get(
    "https://api.searlo.tech/api/v1/serp",
    params={"q": "how to descale a kettle", "gl": "gb", "hl": "en", "aioverview": "false"},
    headers={"x-api-key": "YOUR_API_KEY"},
    timeout=120,  # the page is rendered in a real browser
)
resp.raise_for_status()
serp = resp.json()

for item in serp["peopleAlsoAsk"]:
    print("Q:", item["question"])
for item in serp["relatedSearches"]:
    print("Related:", item["query"])

const params = new URLSearchParams({
  q: "how to descale a kettle",
  gl: "gb",
  hl: "en",
  aioverview: "false",
});
const res = await fetch(`https://api.searlo.tech/api/v1/serp?${params}`, {
  headers: { "x-api-key": "YOUR_API_KEY" },
});
if (!res.ok) throw new Error(`Searlo returned ${res.status}`);
const serp = await res.json();

const questions = serp.peopleAlsoAsk.map((p) => p.question);
const related = serp.relatedSearches.map((r) => r.query);
console.log({ questions, related });

import requests

seeds = [
    "how to descale a kettle",
    "limescale on shower head",
    "clean washing machine drum",
]  # up to 20 per request

resp = requests.post(
    "https://api.searlo.tech/api/v1/serp/batch",
    json={"keywords": seeds, "gl": "gb", "hl": "en"},
    headers={"x-api-key": "YOUR_API_KEY"},
    timeout=600,  # a batch returns when every keyword is done
)
resp.raise_for_status()
batch = resp.json()

questions = {}
for row in batch["results"]:
    if not row["success"]:
        print("re-run later:", row["keyword"], "-", row["message"])
        continue
    for item in row["peopleAlsoAsk"]:
        questions.setdefault(item["question"], set()).add(row["keyword"])

for question, found_on in sorted(questions.items()):
    print(question, "<-", ", ".join(sorted(found_on)))
print("credits used:", batch["credits"]["used"])