Google Search API

Ranked pages with titles, links and snippets.

What is this API?

Serqo’s Google Search API retrieves a Google web results page for a query and returns its results as structured JSON. Use the google engine with type: "web"; result positions and optional SERP features describe the page returned for that request.

Common use cases

Track organic result positions across queries, countries and languages.
Review snippets and SERP features such as related searches or answer boxes.
Pass normalized result data to an internal reporting or research workflow.

Request example

POST https://api.serqo.io/v1/search

Field	Value
engine	`google`
type	`web`

Request headers

Create an API key and store it on your server. Send the API key in the x-api-key header.

Header	Value	Description
Content-Type	`application/json`	JSON request body.
x-api-key	`YOUR_API_KEY`	API key used to authenticate the request.

bash

export SERP_API_KEY='YOUR_API_KEY'

curl https://api.serqo.io/v1/search \
  -H "x-api-key: $SERP_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "q": "open source observability tools",
  "engine": "google",
  "type": "web",
  "gl": "us",
  "hl": "en"
}'

Code examples

Use the same API key with a standard HTTP client. These examples require Node.js 22 or later, or Python 3.

JavaScript

const response = await fetch('https://api.serqo.io/v1/search', {
  method: 'POST',
  headers: {
    'x-api-key': process.env.SERP_API_KEY,
    'Content-Type': 'application/json',
  },
  body: JSON.stringify({ q: 'open source observability tools', engine: 'google', type: 'web' }),
});
const result = await response.json();
if (!response.ok) {
  console.error(response.status, result.requestId, result.error);
} else {
  console.log(result.data.results);
}

Python

import json
import os
from urllib.error import HTTPError
from urllib.request import Request, urlopen

request = Request(
    'https://api.serqo.io/v1/search',
    data=json.dumps({'q': 'open source observability tools', 'engine': 'google', 'type': 'web'}).encode(),
    headers={
        'x-api-key': os.environ['SERP_API_KEY'],
        'Content-Type': 'application/json',
    },
)
try:
    with urlopen(request) as response:
        result = json.load(response)
        print(result['data']['results'])
except HTTPError as error:
    result = json.load(error)
    print(error.code, result['requestId'], result['error'])

Parameters

The number of results returned per request depends on the search engine and may vary.

Field	Type	Required	Default	Description
q	string	Yes	—	Non-empty search query.
engine	string	No	google	Use google for this API.
type	string	No	web	Use web for this API.
gl	string	No	—	Two-letter lowercase country code, for example us.
hl	string	No	—	Interface language code, for example en.
start	integer	No	—	Offset from 0 to 1000000. Use nextStart from the response.
safe	off \| active	No	—	Explicit-content filter: off disables it, active enables it.
tbs	string	No	—	Google time filter, such as qdr:d, qdr:w or qdr:m.

Only q is required by the API, but keep engine and type as shown for this search. A dash means the API does not assign a default. Unknown parameters return 422 INVALID_PARAM.

Response

HTTP 200. A real API response, trimmed to the first three results for readability. Field availability and result groups vary by the returned page; values can be null.

JSON

{
  "success": true,
  "requestId": "req_3b994246-e7b2-4fbe-b932-0a49c9d5e3d6",
  "data": {
    "engine": "google",
    "type": "web",
    "query": {
      "q": "open source observability tools",
      "gl": "us",
      "hl": "en"
    },
    "searchInformation": {
      "totalResults": 123,
      "timeTakenMs": 160,
      "displayed": "About 123 results"
    },
    "results": [
      {
        "position": 1,
        "type": "organic",
        "title": "Open Source Data Observability Tools: When Free Isn't ...",
        "url": "https://montecarlo.ai/blog-data-observability-open-source-tools",
        "displayedUrl": "https://montecarlo.ai › blog-data-observability-open-sour...",
        "domain": "montecarlo.ai",
        "source": "montecarlo.ai",
        "date": "Mar 9, 2026",
        "snippet": "Mar 9, 2026 — With Monte Carlo , your data team can analyze data at-rest, deploy ML-powered anomaly detection to automatically detect incidents, integrate ... Read more",
        "snippetHighlightedWords": [
          "Monte Carlo"
        ],
        "thumbnail": null,
        "favicon": null,
        "duration": null,
        "price": null,
        "rating": null,
        "sitelinks": [
          {
            "title": "Read more",
            "url": "https://www.google.com/goto?url=CAESzQEB6zswFeMmT2D1ovQBWKHRQvogdGw8E8byJiqcx12dE5C6-IAgkF4Byiebi6nfopFZhuJuADXNGSIDxaO5Y_vrnEONjvyxO98TnCdw-Jkpg9NLwQFglBO11Hob5i1hDpAyUpfqG-CYrNTSLl9_CK8juhEUY8eYmgJycAPg7WIWW6-vkUKDFpRg5C7wqqErASYox6Eq7ly4owx7n15uDHevwENJTanA2-22oxzUh1XH1DnuoKMkEIWbInfB31Qcb0Km2Qxj_caQGjPX2jDX"
          }
        ],
        "extensions": {
          "googleRpos": "0"
        }
      },
      {
        "position": 2,
        "type": "organic",
        "title": "The 11 Best Observability Tools in 2026",
        "url": "https://www.dash0.com/comparisons/best-observability-tools",
        "displayedUrl": "https://www.dash0.com › Comparisons",
        "domain": "dash0.com",
        "source": "Dash0",
        "date": "Jan 6, 2026",
        "snippet": "Jan 6, 2026 — OpenObserve is an open-source observability platform designed for performance and efficiency. Written in Rust, it ships as a single binary ... Read more",
        "snippetHighlightedWords": [
          "OpenObserve"
        ],
        "thumbnail": null,
        "favicon": null,
        "duration": null,
        "price": null,
        "rating": null,
        "sitelinks": [
          {
            "title": "Read more",
            "url": "https://www.google.com/goto?url=CAES4gEB6zswFUKVgd3cbv5XUQzW5x89ABN30qEesbRfxFIGdxKP_rlpbeK57JpD4Npi2TzhLx7ayJs8S5Xwrm3whmAsfTK8tG-8972gGVV68a-p6lG26kClQG4IcMBmHx9wOz4XLYlmb7Z6wGCB6VJi0XBNVC857SpxyN_JWVx7Ht6PE-pxH6HPGS9XP-2XRdgjo5Mc9BYfKA7ZJtqnlgI4vmRg7HM0R4i2cPzjZFvvDlQXbp39gf4SMoEuPF3IGHfSo93QsxjnQuj5aBP79wEb_OtRAjvQ1eJ8QYgDuaj_E9JsEGa8"
          }
        ],
        "extensions": {
          "googleRpos": "1"
        }
      },
      {
        "position": 3,
        "type": "organic",
        "title": "7 Best AI Observability Tools for Engineering Teams",
        "url": "https://blog.n8n.io/ai-observability-tools/",
        "displayedUrl": "https://blog.n8n.io › ai-observability-tools",
        "domain": "blog.n8n.io",
        "source": "n8n Blog",
        "date": "Aug 6, 2026",
        "snippet": "Aug 6, 2026 — Arize Phoenix is an open-source observability platform focused on debugging and improving AI applications. SigNoz and LangFuse are popular open ...",
        "snippetHighlightedWords": [
          "Arize Phoenix is an open-source observability platform"
        ],
        "thumbnail": null,
        "favicon": null,
        "duration": null,
        "price": null,
        "rating": null,
        "sitelinks": [],
        "extensions": {
          "googleRpos": "6"
        }
      }
    ],
    "features": {
      "relatedSearches": [
        {
          "query": "Open source observability tools free",
          "url": "https://www.google.com/search?safe=off&sca_esv=64345335af5ad8d5&hl=en&gl=us&sxsrf=APpeQnvM7CVcRGCpsL6a9rPwZHtxd5bapg:1792732918403&q=Open+source+observability+tools+free&sa=X&ved=2ahUKEwiH3pzGss-XAxWekokEHeK8LfQQ1QJ6BAg3EAE"
        },
        {
          "query": "Open source observability tools github",
          "url": "https://www.google.com/search?safe=off&sca_esv=64345335af5ad8d5&hl=en&gl=us&sxsrf=APpeQnvM7CVcRGCpsL6a9rPwZHtxd5bapg:1792732918403&q=Open+source+observability+tools+github&sa=X&ved=2ahUKEwiH3pzGss-XAxWekokEHeK8LfQQ1QJ6BAg9EAE"
        },
        {
          "query": "Best open source observability tools",
          "url": "https://www.google.com/search?safe=off&sca_esv=64345335af5ad8d5&hl=en&gl=us&sxsrf=APpeQnvM7CVcRGCpsL6a9rPwZHtxd5bapg:1792732918403&q=Best+open+source+observability+tools&sa=X&ved=2ahUKEwiH3pzGss-XAxWekokEHeK8LfQQ1QJ6BAg8EAE"
        },
        {
          "query": "Observability tools list",
          "url": "https://www.google.com/search?safe=off&sca_esv=64345335af5ad8d5&hl=en&gl=us&sxsrf=APpeQnvM7CVcRGCpsL6a9rPwZHtxd5bapg:1792732918403&q=Observability+tools+list&sa=X&ved=2ahUKEwiH3pzGss-XAxWekokEHeK8LfQQ1QJ6BAg7EAE"
        },
        {
          "query": "SigNoz",
          "url": "https://www.google.com/search?safe=off&sca_esv=64345335af5ad8d5&hl=en&gl=us&sxsrf=APpeQnvM7CVcRGCpsL6a9rPwZHtxd5bapg:1792732918403&q=SigNoz&sa=X&ved=2ahUKEwiH3pzGss-XAxWekokEHeK8LfQQ1QJ6BAg6EAE"
        },
        {
          "query": "Top 10 observability tools",
          "url": "https://www.google.com/search?safe=off&sca_esv=64345335af5ad8d5&hl=en&gl=us&sxsrf=APpeQnvM7CVcRGCpsL6a9rPwZHtxd5bapg:1792732918403&q=Top+10+observability+tools&sa=X&ved=2ahUKEwiH3pzGss-XAxWekokEHeK8LfQQ1QJ6BAg5EAE"
        },
        {
          "query": "OpenObserve",
          "url": "https://www.google.com/search?safe=off&sca_esv=64345335af5ad8d5&hl=en&gl=us&sxsrf=APpeQnvM7CVcRGCpsL6a9rPwZHtxd5bapg:1792732918403&q=OpenObserve&sa=X&ved=2ahUKEwiH3pzGss-XAxWekokEHeK8LfQQ1QJ6BAg4EAE"
        },
        {
          "query": "Elastic Observability",
          "url": "https://www.google.com/search?safe=off&sca_esv=64345335af5ad8d5&hl=en&gl=us&sxsrf=APpeQnvM7CVcRGCpsL6a9rPwZHtxd5bapg:1792732918403&q=Elastic+Observability&sa=X&ved=2ahUKEwiH3pzGss-XAxWekokEHeK8LfQQ1QJ6BAg2EAE"
        },
        {
          "query": "2",
          "url": "https://www.google.com/search?q=open+source+observability+tools&safe=off&sca_esv=64345335af5ad8d5&hl=en&gl=us&sxsrf=APpeQnvM7CVcRGCpsL6a9rPwZHtxd5bapg:1792732918403&ei=9u7aaoeLGJ6lptQP4vm2oQ8&start=10&sa=N&sstk=AS6-VmIfDu1Dr98WUp_qT0VP_EC7x8XKg8A8SOXvYt7fsobqGQn_eqhHNWV8YgjrilITKrMvvSZC8nYZPNAYZ9FGyee2UkKPzSPImw&ved=2ahUKEwiH3pzGss-XAxWekokEHeK8LfQQ8tMDegQIMRAE"
        },
        {
          "query": "3",
          "url": "https://www.google.com/search?q=open+source+observability+tools&safe=off&sca_esv=64345335af5ad8d5&hl=en&gl=us&sxsrf=APpeQnvM7CVcRGCpsL6a9rPwZHtxd5bapg:1792732918403&ei=9u7aaoeLGJ6lptQP4vm2oQ8&start=20&sa=N&sstk=AS6-VmIfDu1Dr98WUp_qT0VP_EC7x8XKg8A8SOXvYt7fsobqGQn_eqhHNWV8YgjrilITKrMvvSZC8nYZPNAYZ9FGyee2UkKPzSPImw&ved=2ahUKEwiH3pzGss-XAxWekokEHeK8LfQQ8tMDegQIMRAG"
        },
        {
          "query": "4",
          "url": "https://www.google.com/search?q=open+source+observability+tools&safe=off&sca_esv=64345335af5ad8d5&hl=en&gl=us&sxsrf=APpeQnvM7CVcRGCpsL6a9rPwZHtxd5bapg:1792732918403&ei=9u7aaoeLGJ6lptQP4vm2oQ8&start=30&sa=N&sstk=AS6-VmIfDu1Dr98WUp_qT0VP_EC7x8XKg8A8SOXvYt7fsobqGQn_eqhHNWV8YgjrilITKrMvvSZC8nYZPNAYZ9FGyee2UkKPzSPImw&ved=2ahUKEwiH3pzGss-XAxWekokEHeK8LfQQ8tMDegQIMRAI"
        },
        {
          "query": "5",
          "url": "https://www.google.com/search?q=open+source+observability+tools&safe=off&sca_esv=64345335af5ad8d5&hl=en&gl=us&sxsrf=APpeQnvM7CVcRGCpsL6a9rPwZHtxd5bapg:1792732918403&ei=9u7aaoeLGJ6lptQP4vm2oQ8&start=40&sa=N&sstk=AS6-VmIfDu1Dr98WUp_qT0VP_EC7x8XKg8A8SOXvYt7fsobqGQn_eqhHNWV8YgjrilITKrMvvSZC8nYZPNAYZ9FGyee2UkKPzSPImw&ved=2ahUKEwiH3pzGss-XAxWekokEHeK8LfQQ8tMDegQIMRAK"
        },
        {
          "query": "6",
          "url": "https://www.google.com/search?q=open+source+observability+tools&safe=off&sca_esv=64345335af5ad8d5&hl=en&gl=us&sxsrf=APpeQnvM7CVcRGCpsL6a9rPwZHtxd5bapg:1792732918403&ei=9u7aaoeLGJ6lptQP4vm2oQ8&start=50&sa=N&sstk=AS6-VmIfDu1Dr98WUp_qT0VP_EC7x8XKg8A8SOXvYt7fsobqGQn_eqhHNWV8YgjrilITKrMvvSZC8nYZPNAYZ9FGyee2UkKPzSPImw&ved=2ahUKEwiH3pzGss-XAxWekokEHeK8LfQQ8tMDegQIMRAM"
        },
        {
          "query": "7",
          "url": "https://www.google.com/search?q=open+source+observability+tools&safe=off&sca_esv=64345335af5ad8d5&hl=en&gl=us&sxsrf=APpeQnvM7CVcRGCpsL6a9rPwZHtxd5bapg:1792732918403&ei=9u7aaoeLGJ6lptQP4vm2oQ8&start=60&sa=N&sstk=AS6-VmIfDu1Dr98WUp_qT0VP_EC7x8XKg8A8SOXvYt7fsobqGQn_eqhHNWV8YgjrilITKrMvvSZC8nYZPNAYZ9FGyee2UkKPzSPImw&ved=2ahUKEwiH3pzGss-XAxWekokEHeK8LfQQ8tMDegQIMRAO"
        },
        {
          "query": "8",
          "url": "https://www.google.com/search?q=open+source+observability+tools&safe=off&sca_esv=64345335af5ad8d5&hl=en&gl=us&sxsrf=APpeQnvM7CVcRGCpsL6a9rPwZHtxd5bapg:1792732918403&ei=9u7aaoeLGJ6lptQP4vm2oQ8&start=70&sa=N&sstk=AS6-VmIfDu1Dr98WUp_qT0VP_EC7x8XKg8A8SOXvYt7fsobqGQn_eqhHNWV8YgjrilITKrMvvSZC8nYZPNAYZ9FGyee2UkKPzSPImw&ved=2ahUKEwiH3pzGss-XAxWekokEHeK8LfQQ8tMDegQIMRAQ"
        },
        {
          "query": "9",
          "url": "https://www.google.com/search?q=open+source+observability+tools&safe=off&sca_esv=64345335af5ad8d5&hl=en&gl=us&sxsrf=APpeQnvM7CVcRGCpsL6a9rPwZHtxd5bapg:1792732918403&ei=9u7aaoeLGJ6lptQP4vm2oQ8&start=80&sa=N&sstk=AS6-VmIfDu1Dr98WUp_qT0VP_EC7x8XKg8A8SOXvYt7fsobqGQn_eqhHNWV8YgjrilITKrMvvSZC8nYZPNAYZ9FGyee2UkKPzSPImw&ved=2ahUKEwiH3pzGss-XAxWekokEHeK8LfQQ8tMDegQIMRAS"
        }
      ],
      "aiOverview": {
        "available": true,
        "text": "Open source observability tools are organized around the three core pillars of telemetry: metrics , logs , and traces . Medium · Dotan Horovits (@horovits) +1 Frameworks & Instrumentation OpenTelemetry : The vendor-neutral CNCF framework for collecting metrics, logs, and traces using a unified set of APIs, SDKs, and the OpenTelemetry Collector. OpenTelemetry +1 Metrics Tools Prometheus : A CNCF-graduated time-series database and alerting system built for pull-based metric scraping. Chronosphere +1 VictoriaMetrics : A high-performance, cost-effective, Prometheus-compatible time-series database. Netdata Thanos / Mimir : Scalable, long-term metric storage layers designed to extend Prometheus clusters",
        "sources": []
      }
    },
    "pagination": {
      "page": 1,
      "start": 0,
      "hasNext": true,
      "nextStart": 10
    },
    "meta": {
      "elapsedMs": 6316
    }
  },
  "meta": {
    "cache": "miss"
  }
}

Response fields

Field	Type	Description
data.query	object	Search query passed to the engine.
data.searchInformation	object	Reported result count and search timing, when provided.
success	boolean	Whether the request succeeded. True in this example.
requestId	string	Request identifier to include when troubleshooting.
data.type	string	Search type used for this response.
data.engine	string	Engine that returned the results.
data.results	array	Main result list. Check feature groups as well when present.
data.features	object	Additional result groups; groups not returned by the engine may be absent.
data.pagination	object	Current offset and next-page availability.
data.meta.elapsedMs	number	Search duration in milliseconds, not a performance guarantee.
meta.cache	string \| null	hit, miss, or null if cache status is unknown.

Result fields

Read entries from data.results. Additional groups, when present, are in data.features.

Field	Type	Description
data.results[].domain	string \| null	Destination domain, when available.
data.results[].favicon	string \| null	Site icon when provided.
data.results[].sitelinks	array	Additional links nested under the result.
data.results[].sitelinks[].title	string	Sitelink label.
data.results[].sitelinks[].url	string \| null	Sitelink destination.
data.results[].extensions	object	Other result-specific properties.
data.results[].snippetHighlightedWords	string[], optional	Highlighted terms in the snippet, when provided.
data.results[].position	integer	Rank on this results page, starting at 1.
data.results[].type	string	Result category: organic, news, image, video, shopping, local, forum, book, patent or ad. This can differ from the request type.
data.results[].title	string \| null	Title shown in the result.
data.results[].url	string \| null	Destination URL when resolved; it may be null.
data.results[].displayedUrl	string \| null	URL or domain displayed by the engine; not always a clickable link.
data.results[].source	string \| null	Source name or displayed domain.
data.results[].date	string \| null	Date text when extracted; not necessarily an ISO timestamp.
data.results[].snippet	string \| null	Result summary.
data.results[].thumbnail	string \| null	Thumbnail URL or inline data URL, when provided.
data.results[].duration	string \| null	Video duration text when provided.
data.results[].price	string \| null	Price text when provided.
data.results[].rating	number \| null	Rating when provided.

Additional Google web results

Google may return related questions, related searches and knowledge panels. These groups are optional and are not included in the abbreviated example above.

Field	Type	Description
data.features.peopleAlsoAsk	array	Follow-up questions, answers and source links when provided.
data.features.peopleAlsoAsk[].question	string	Suggested question.
data.features.peopleAlsoAsk[].answer	string \| null	Answer excerpt.
data.features.peopleAlsoAsk[].sources	array	Source entries with title and url.
data.features.relatedSearches	array	Related search queries.
data.features.relatedSearches[].query	string	Suggested query.
data.features.relatedSearches[].url	string \| null	Link to the related search when provided.
data.features.knowledgePanel	object, optional	Knowledge panel with title, subtitle, description, attributes, sources and thumbnail.
data.features.answerBox	object, optional	Answer box with title, snippet, url, source and date.
data.features.aiOverview	object, optional	Google AI Overview with extracted text and available source links, when present.

Pagination

Check data.pagination.hasNext; stop when it is false.
Use data.pagination.nextStart as start. Keep the other search parameters unchanged.
Send the next request. Each page is a separate search request.

Field	Type	Description
data.pagination.nextUrl	string \| null	Search-engine URL for the next page, when available; use nextStart with this API.
data.pagination.requestedPage	integer	Page requested; may differ from the returned page if the engine does not provide it.
data.pagination.page	integer	Current page number.
data.pagination.start	integer	Current result offset.
data.pagination.hasNext	boolean	Whether another page is available.
data.pagination.nextStart	integer \| null	Offset for the next request, or null when unavailable.

Errors

JSON

{
  "success": false,
  "requestId": "req_example",
  "error": {
    "code": "INVALID_PARAM",
    "message": "Unknown parameter \"page\"",
    "retryable": false
  }
}

Field	Type	Description
error.code	string	Machine-readable error code.
error.message	string	Reason the request failed.
error.retryable	boolean	Whether retrying is recommended.
error.retryAfterMs	number, optional	Minimum wait before retrying, in milliseconds.

HTTP status	Meaning	What to do
400	Invalid request or unsupported search type.	Check the query and engine/type combination.
401	Missing, invalid or revoked API key.	Check the authentication header and API key.
402	Insufficient credits.	Check your credit balance.
403	Permission or plan restriction.	Check account access and plan limits.
422	Invalid parameter.	Correct the parameter identified by error.message.
429	Request rate or queue limit.	Follow the retry rules below.
5xx	Server or search service failure.	Keep the requestId; retry only if allowed.

Retry rules

Retry only when error.retryable is true.
If error.retryAfterMs is present, wait at least that many milliseconds.

Pricing and limits

Successful searches use credits at the applicable rate.
Failed searches and timeouts are not charged.
Cache hits are free at the default rate. Before searching, your available balance must cover the full request cost.

See plan pricing and rate-limit and credit details.

Frequently asked questions

How do I request another page of Google results?

Check data.pagination.hasNext, then send data.pagination.nextStart as start with the same query and market settings. Each page is a separate search request.

How are Google Search API requests charged?

Successful searches use the applicable credit rate for the engine, type and country. Failed searches and timeouts release the reservation; cache hits are free at the default rate. See Pricing and limits below for the current rules.