Pricing

$19.99/month + usage

Google Search Results Scraper

🔎 Google Search Results Scraper pulls clean SERP data at scale—titles, URLs, snippets, ads, People Also Ask, featured snippets & local pack. ⚙️ Supports location, language & pagination. 🚀 Perfect for SEO, rank tracking, content research & competitor analysis.

Pricing

$19.99/month + usage

Rating

0.0

(0)

Developer

ScrapeMesh

Actor stats

Bookmarked

Total users

Monthly active users

a day ago

Last modified

Categories

Automation

Lead generation

You can access the Google Search Results Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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  "components": {
    "schemas": {
      "inputSchema": {
        "type": "object",
        "required": [
          "queries"
        ],
        "properties": {
          "queries": {
            "title": "🔍 Search term(s)",
            "type": "string",
            "description": "Use regular search words or enter Google Search URLs. You can also apply advanced Google search techniques, such as AI site:twitter.com or javascript OR python. You can also define selected search filters as separate fields below (in the Advanced search filters section). Just ensure that your queries do not exceed 32 words to comply with Google Search limits."
          },
          "resultsPerPage": {
            "title": "📊 Results per page",
            "minimum": 1,
            "maximum": 100,
            "type": "integer",
            "description": "Specifies the desired number of results per page that is passed to Google Search as the num parameter. However, Google applies its own internal filtering and quality checks, so the actual number of returned results may differ from this value, especially on the first page. To potentially retrieve more results closer to your desired count, consider enabling the \"Unfiltered results\" option from the \"Additional settings\" section below, which includes results that Google normally filters out.",
            "default": 100
          },
          "maxPagesPerQuery": {
            "title": "📄 Max pages per search",
            "minimum": 1,
            "type": "integer",
            "description": "Maximum number of pages to scrape per search query. Each page contains approximately 10 results.",
            "default": 1
          },
          "aiMode": {
            "title": "⏩ Add-on: Google AI Mode ($)",
            "enum": [
              "aiModeOff",
              "aiModeWithSearchResults",
              "aiModeOnly"
            ],
            "type": "string",
            "description": "Enable scraping of Google's AI Mode to perform Answer Engine Optimization (AEO), GEO targeting, track brand visibility, and analyze competitors.",
            "default": "aiModeOff"
          },
          "serpApiKey": {
            "title": "🔑 SerpApi key (for AI Overview)",
            "type": "string",
            "description": "Optional. When set and AI Mode is not off, fetches AI Overview via SerpApi."
          },
          "perplexitySearch": {
            "title": "⏩ Add-on: Perplexity AI search ($)",
            "type": "object",
            "description": "Enable Perplexity to retrieve AI-generated answers and citations using the Sonar model. This feature is designed for cross-platform analysis, allowing you to directly compare Google AI Mode and ChatGPT results against Perplexity's perspective to identify narrative differences and coverage gaps.\n\nNote: An additional fee applies per result when this feature is active. Please refer to the Pricing tab for your specific rate.",
            "properties": {
              "enablePerplexity": {
                "title": "✨ Enable Perplexity AI",
                "type": "boolean",
                "description": "Fetch AI answer using Perplexity Sonar model.",
                "default": false
              },
              "searchRecency": {
                "title": "🔍 Search Recency",
                "type": "string",
                "description": "Specify the time range for Perplexity search results.",
                "editor": "select",
                "nullable": true,
                "enum": [
                  "",
                  "day",
                  "week",
                  "month",
                  "year"
                ],
                "enumTitles": [
                  "None",
                  "day",
                  "week",
                  "month",
                  "year"
                ]
              },
              "returnImages": {
                "title": "🖼️ Include images in Perplexity AI answers",
                "type": "boolean",
                "description": "Include images in Perplexity response.",
                "default": false
              },
              "returnRelatedQuestions": {
                "title": "❓ Include related questions in Perplexity AI answers",
                "type": "boolean",
                "description": "Include related questions in Perplexity response.",
                "default": false
              }
            },
            "default": {
              "enablePerplexity": false,
              "searchRecency": "",
              "returnImages": false,
              "returnRelatedQuestions": false
            }
          },
          "chatGptSearch": {
            "title": "⏩ Add-on: ChatGPT Search ($)",
            "type": "object",
            "description": "Enable ChatGPT to retrieve AI-generated answers powered by OpenAI's search model. This feature is designed for cross-platform analysis, allowing you to directly compare Google AI Mode and Perplexity results against ChatGPT's perspective to identify narrative differences, coverage gaps, and search engine biases.\n\nThe output includes query fan-out under queryFanOut, showing additional search queries the model generated to answer your question.\n\nNote: An additional fee applies per result when this feature is active. Please refer to the Pricing tab for your specific rate.",
            "properties": {
              "enableChatGpt": {
                "title": "💬 Enable ChatGPT search",
                "type": "boolean",
                "description": "Fetch AI answer using OpenAI search model.",
                "default": false
              }
            },
            "default": {
              "enableChatGpt": false
            }
          },
          "maximumLeadsEnrichmentRecords": {
            "title": "⏩ Add-on: Extract Business Leads Information - Maximum leads per domain ($)",
            "minimum": 0,
            "type": "integer",
            "description": "Enrich your results with detailed contact and company information, including employee names, job titles, emails, phone numbers, LinkedIn profiles, and key company data like industry and number of employees.\n\nThis setting allows you to set the maximum number of leads records you want to scrape per each domain found. By default, it's set to 0 which means that no leads information will be scraped.\n\n⚠️ Note that some of the fields contain personal data. GDPR protects personal data in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your use case is legitimate, please consult an attorney.\n\nTo keep your leads relevant, we automatically filter out large chains and online platforms (e.g., social media, retail giants, food delivery services).\n\n⚠️ Cost warning: This is a multiplier. Requesting 10 leads for 1,000 domains will attempt to find 10,000 total leads. You are only charged for leads successfully found.",
            "default": 0
          },
          "leadsEnrichmentDepartments": {
            "title": "🏢 Leads departments selection",
            "type": "array",
            "description": "You can use this filter to include only specific departments (like Sales, Marketing, or C-Suite). Note: This will only work if the ⏩ Add-on: Extract business leads information - Maximum leads per domain (maximumLeadsEnrichmentRecords) option is enabled. Please note that some job titles are sometimes miscategorized in the wrong departments.",
            "items": {
              "type": "string",
              "enum": [
                "c-suite",
                "product",
                "engineering-technical",
                "design",
                "education",
                "finance",
                "human-resources",
                "information-technology",
                "legal",
                "marketing",
                "medical-health",
                "operations",
                "sales",
                "consulting"
              ],
              "enumTitles": [
                "C-Suite",
                "Product",
                "Engineering & Technical",
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                "Education",
                "Finance",
                "Human Resources",
                "Information Technology",
                "Legal",
                "Marketing",
                "Medical & Health",
                "Operations",
                "Sales",
                "Consulting"
              ]
            },
            "default": []
          },
          "focusOnPaidAds": {
            "title": "⏩ Add-on: Enable paid results (ads) extraction ($)",
            "type": "boolean",
            "description": "Enable extraction of paid results (Google Ads). This feature improves ad detection accuracy by using an ad-specialized proxy to perform up to 3 retries for each search query. Best used for queries likely to show ads. An extra cost per search page applies when enabled, regardless of ads found. Pricing depends on your Apify subscription plan.",
            "default": false
          },
          "countryCode": {
            "title": "🌍 Country",
            "enum": [
              "af",
              "al",
              "dz",
              "as",
              "ad",
              "ao",
              "ai",
              "aq",
              "ag",
              "ar",
              "am",
              "aw",
              "au",
              "at",
              "az",
              "bs",
              "bh",
              "bd",
              "bb",
              "by",
              "be",
              "bz",
              "bj",
              "bm",
              "bt",
              "bo",
              "ba",
              "bw",
              "bv",
              "br",
              "io",
              "bn",
              "bg",
              "bf",
              "bi",
              "kh",
              "cm",
              "ca",
              "cv",
              "ky",
              "cf",
              "td",
              "cl",
              "cn",
              "cx",
              "cc",
              "co",
              "km",
              "cg",
              "cd",
              "ck",
              "cr",
              "ci",
              "hr",
              "cu",
              "cy",
              "cz",
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              "dj",
              "dm",
              "do",
              "ec",
              "eg",
              "sv",
              "gq",
              "er",
              "ee",
              "et",
              "fk",
              "fo",
              "fj",
              "fi",
              "fr",
              "gf",
              "pf",
              "tf",
              "ga",
              "gm",
              "ge",
              "de",
              "gh",
              "gi",
              "gr",
              "gl",
              "gd",
              "gp",
              "gu",
              "gt",
              "gn",
              "gw",
              "gy",
              "ht",
              "hm",
              "va",
              "hn",
              "hk",
              "hu",
              "is",
              "in",
              "id",
              "ir",
              "iq",
              "ie",
              "il",
              "it",
              "jm",
              "jp",
              "jo",
              "kz",
              "ke",
              "ki",
              "kp",
              "kr",
              "kw",
              "kg",
              "la",
              "lv",
              "lb",
              "ls",
              "lr",
              "ly",
              "li",
              "lt",
              "lu",
              "mo",
              "mk",
              "mg",
              "mw",
              "my",
              "mv",
              "ml",
              "mt",
              "mh",
              "mq",
              "mr",
              "mu",
              "yt",
              "mx",
              "fm",
              "md",
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              "mz",
              "mm",
              "na",
              "nr",
              "np",
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              "an",
              "nc",
              "nz",
              "ni",
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              "nu",
              "nf",
              "mp",
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              "om",
              "pk",
              "pw",
              "ps",
              "pa",
              "pg",
              "py",
              "pe",
              "ph",
              "pn",
              "pl",
              "pt",
              "pr",
              "qa",
              "re",
              "ro",
              "ru",
              "rw",
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              "kn",
              "lc",
              "pm",
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              "ws",
              "sm",
              "st",
              "sa",
              "sn",
              "cs",
              "sc",
              "sl",
              "sg",
              "sk",
              "si",
              "sb",
              "so",
              "za",
              "gs",
              "es",
              "lk",
              "sd",
              "sr",
              "sj",
              "sz",
              "se",
              "ch",
              "sy",
              "tw",
              "tj",
              "tz",
              "th",
              "tl",
              "tg",
              "tk",
              "to",
              "tt",
              "tn",
              "tr",
              "tm",
              "tc",
              "tv",
              "ug",
              "ua",
              "ae",
              "gb",
              "us",
              "um",
              "uy",
              "uz",
              "vu",
              "ve",
              "vn",
              "vg",
              "vi",
              "wf",
              "eh",
              "ye",
              "zm",
              "zw"
            ],
            "type": "string",
            "description": "Specifies the country used for the search and the Google Search domain (e.g. google.es for Spain). By default, the Actor uses United States (google.com).",
            "default": "us"
          },
          "searchLanguage": {
            "title": "🔤 Search language",
            "enum": [
              "",
              "ar",
              "bg",
              "ca",
              "cs",
              "da",
              "de",
              "el",
              "en",
              "es",
              "et",
              "fi",
              "fr",
              "hr",
              "hu",
              "id",
              "is",
              "it",
              "iw",
              "ja",
              "ko",
              "lt",
              "lv",
              "nl",
              "no",
              "pl",
              "pt",
              "ro",
              "ru",
              "sk",
              "sl",
              "sr",
              "sv",
              "tr",
              "zh-CN",
              "zh-TW"
            ],
            "type": "string",
            "description": "Restricts search results to pages in a specific language. For example, choosing 'German' results in pages only in German. Passed to Google Search as the lr URL query parameter. Read more here."
          },
          "languageCode": {
            "title": "🌐 Interface Language",
            "enum": [
              "af",
              "sq",
              "sm",
              "ar",
              "az",
              "eu",
              "be",
              "bn",
              "bh",
              "bs",
              "bg",
              "ca",
              "zh-CN",
              "zh-TW",
              "hr",
              "cs",
              "da",
              "nl",
              "en",
              "eo",
              "et",
              "fo",
              "fi",
              "fr",
              "fy",
              "gl",
              "ka",
              "de",
              "el",
              "gu",
              "iw",
              "hi",
              "hu",
              "is",
              "id",
              "ia",
              "ga",
              "it",
              "ja",
              "jw",
              "kn",
              "ko",
              "la",
              "lv",
              "lt",
              "mk",
              "ms",
              "ml",
              "mt",
              "mr",
              "ne",
              "no",
              "nn",
              "oc",
              "fa",
              "pl",
              "pt-BR",
              "pt-PT",
              "pa",
              "ro",
              "ru",
              "gd",
              "sr",
              "si",
              "sk",
              "sl",
              "es",
              "su",
              "sw",
              "sv",
              "tl",
              "ta",
              "te",
              "th",
              "ti",
              "tr",
              "uk",
              "ur",
              "uz",
              "vi",
              "cy",
              "xh",
              "zu"
            ],
            "type": "string",
            "description": "Language of the Google Search interface (menus, buttons, etc. - not the search results themselves). Passed to Google Search as the hl URL query parameter. From Google Reference: You can use the hl request parameter to identify the language of your graphical interface. The hl parameter value may affect search results, especially on international queries when language restriction (using the lr parameter) is not explicitly specified. Read more here.",
            "default": "en"
          },
          "locationUule": {
            "title": "📍 Exact location (Google UULE parameter)",
            "type": "string",
            "description": "The code for the exact location for the Google search. It's passed to Google Search as the uule URL query parameter. You can use the UULE code generator. Learn more about emulating local search."
          },
          "forceExactMatch": {
            "title": "🎯 Force exact match",
            "type": "boolean",
            "description": "If checked, the scraper will search for the exact phrase in the query. This is done by wrapping the query in quotes. Note that this may return fewer results. Also note that if you're using operators such as OR or AND, the whole query will be wrapped in quotes, such as \"Windows AND macOS\". If you want to search for queries such as \"Windows\" AND \"macOS\", you need to specify them directly in the queries field.",
            "default": false
          },
          "site": {
            "title": "🌐 Site",
            "type": "string",
            "description": "Limits the search to a specific site, such as: site:example.com. Note that the site filter takes precedence over the relatedToSite filter. If both filters are set, the relatedToSite filter will be ignored and not added to the search queries."
          },
          "relatedToSite": {
            "title": "🔗 Related to site",
            "type": "string",
            "description": "Filters pages related to a specific site, such as: related:example.com. Note that the site filter takes precedence over the relatedToSite filter. If both filters are set, the relatedToSite filter will be ignored and not added to the search queries."
          },
          "wordsInTitle": {
            "title": "📝 Words in title",
            "maxItems": 32,
            "type": "array",
            "description": "Filters pages with specific words in the title. The scraper uses the intitle: operator, even for multiple words (e.g. recipe site:allrecipes.com intitle:\"easy apple\" intitle:pie). There's also a allintitle: operator available, but it's problematic when combined with other search filters, so the scraper avoids using it. If you need to use the allintitle: operator specifically, you can include it in your custom queries from the queries field.",
            "default": [],
            "items": {
              "type": "string"
            }
          },
          "wordsInText": {
            "title": "📄 Words in text",
            "maxItems": 32,
            "type": "array",
            "description": "Filters pages with specific words in the text. The scraper uses the intext: operator, even for multiple words (e.g. cartoon site:wikipedia.com intext:cat intext:mouse). There's also a allintext: operator available, but it's problematic when combined with other search filters, so the scraper avoids using it. If you need to use the allintext: operator specifically, you can include it in your custom queries from the queries field.",
            "default": [],
            "items": {
              "type": "string"
            }
          },
          "wordsInUrl": {
            "title": "🔗 Words in URL",
            "maxItems": 32,
            "type": "array",
            "description": "Filters pages with specific words in the URL. The scraper uses the inurl: operator, even for multiple words (e.g. recipe site:allrecipes.com inurl:apple inurl:pie). There's also a allinurl: operator available, but it's problematic when combined with other search filters, so the scraper avoids using it. If you need to use the allinurl: operator specifically, you can include it in your custom queries from the queries field.",
            "default": [],
            "items": {
              "type": "string"
            }
          },
          "quickDateRange": {
            "title": "⏱️ Quick date range",
            "type": "string",
            "description": "Filters results from a specific date range. d[number] specifies the number of past days (e.g. the past 10 days can be written as d10). The same applies to hours, weeks, months, and years: h[number], w[number], m[number], y[number]. Example for the past year: 'y1' or even 'y'. The value is passed to Google Search using the tbs URL query parameter, prefixed with qdr:. You should avoid combining this filter with the beforeDate and afterDate filters to prevent conflicts."
          },
          "beforeDate": {
            "title": "📅 Before date",
            "pattern": "^(\\d{4})-(0[1-9]|1[0-2])-(0[1-9]|[12]\\d|3[01])$|^(\\d+)\\s*(day|week|month|year)s?$",
            "type": "string",
            "description": "Filters results from before the specified date. Either absolute date (e.g. 2024-05-03) or relative date from now into the past (e.g. 8 days, 3 months). Absolute time is always interpreted in the UTC timezone, not your local timezone - please convert accordingly. Supported relative date & time units: days, weeks, months, years. You should avoid combining this filter with the quickDateRange filter to prevent conflicts."
          },
          "afterDate": {
            "title": "📆 After date",
            "pattern": "^(\\d{4})-(0[1-9]|1[0-2])-(0[1-9]|[12]\\d|3[01])$|^(\\d+)\\s*(day|week|month|year)s?$",
            "type": "string",
            "description": "Filters results from after the specified date. Either absolute date (e.g. 2024-05-03) or relative date from now into the past (e.g. 8 days, 3 months). Absolute time is always interpreted in the UTC timezone, not your local timezone - please convert accordingly. Supported relative date & time units: days, weeks, months, years. You should avoid combining this filter with the quickDateRange filter to prevent conflicts."
          },
          "fileTypes": {
            "title": "📎 File types",
            "maxItems": 10,
            "type": "array",
            "description": "Filters results of specific file types using the filetype: operator, such as filetype:pdf. You can select multiple file types as well. They will be combined with the OR operator, for example: filetype:doc OR filetype:txt. If you need to use a file type that is not in the list (such as a source code file type), you can include it in your custom queries from the queries field, using the filetype: operator.",
            "items": {
              "type": "string",
              "enum": [
                "pdf",
                "csv",
                "epub",
                "ps",
                "htm",
                "html",
                "xls",
                "xlsx",
                "ppt",
                "pptx",
                "doc",
                "docx",
                "odp",
                "ods",
                "odt",
                "rtf",
                "svg",
                "tex",
                "txt",
                "wml",
                "wap",
                "xml",
                "xps",
                "md",
                "readme",
                "log",
                "yml",
                "yaml",
                "toml",
                "ipynb",
                "sas",
                "sql",
                "rdf",
                "avif",
                "avi",
                "mkv",
                "mov",
                "flv",
                "asf",
                "ogv"
              ],
              "enumTitles": [
                "Adobe Portable Document Format (pdf)",
                "Comma-Separated Values (csv)",
                "Electronic Publication (epub)",
                "Adobe PostScript (ps)",
                "HTML (htm)",
                "HTML (html)",
                "Microsoft Excel (xls)",
                "Microsoft Excel (xlsx)",
                "Microsoft PowerPoint (ppt)",
                "Microsoft PowerPoint (pptx)",
                "Microsoft Word (doc)",
                "Microsoft Word (docx)",
                "OpenOffice presentation (odp)",
                "OpenOffice spreadsheet (ods)",
                "OpenOffice text (odt)",
                "Rich Text Format (rtf)",
                "Scalable Vector Graphics (svg)",
                "TeX/LaTeX (tex)",
                "Text (txt)",
                "Wireless Markup Language (wml)",
                "Wireless Markup Language (wap)",
                "XML (xml)",
                "XML Paper Specification (xps)",
                "Markdown (md)",
                "Readme (readme)",
                "Log file (log)",
                "YAML (yml)",
                "YAML (yaml)",
                "TOML (toml)",
                "Jupyter Notebook (ipynb)",
                "SAS (sas)",
                "SQL (sql)",
                "Resource Description Framework (rdf)",
                "AV1 Image File Format (avif)",
                "Audio Video Interleave (avi)",
                "Matroska Multimedia Container (mkv)",
                "QuickTime Movie (mov)",
                "Flash Video (flv)",
                "Advanced Systems Format (asf)",
                "Ogg Video (ogv)"
              ]
            },
            "default": []
          },
          "mobileResults": {
            "title": "📱 Mobile results",
            "type": "boolean",
            "description": "If checked the scraper will return results for mobile version of Google search. Otherwise desktop results are returned.",
            "default": false
          },
          "includeUnfilteredResults": {
            "title": "🔓 Unfiltered results",
            "type": "boolean",
            "description": "If checked the lower quality results that Google normally filters out will be included.",
            "default": false
          },
          "saveHtml": {
            "title": "💾 Save HTML to dataset",
            "type": "boolean",
            "description": "If checked the HTML of the Google Search results pages will be stored to the default dataset, under the html property. This is useful if you need to process the HTML, but it makes the dataset large.",
            "default": false
          },
          "saveHtmlToKeyValueStore": {
            "title": "🗄️ Save HTML to key-value store",
            "type": "boolean",
            "description": "If checked the HTML of the Google Search results pages will be stored to the default key-value store and links to the files stored to the dataset under the htmlSnapshotUrl property. This is useful for debugging since you can easily view the pages in the browser. However, the use of this feature may slow down the Actor.",
            "default": true
          },
          "includeIcons": {
            "title": "🖼️ Include icon image data (base64)",
            "type": "boolean",
            "description": "If checked, all of the results (organicResults, paidResults, suggestedResults) will contain Base64-encoded icon image data if found.",
            "default": false
          },
          "proxyConfiguration": {
            "title": "🔒 Proxy configuration",
            "type": "object",
            "description": "This actor always uses proxies to maximize success rates. By default, it starts with a Google SERP proxy and falls back to residential proxy (with 3 retries) if blocked. Once a residential proxy is used, it will stick to it for all subsequent requests."
          }
        }
      },
      "runsResponseSchema": {
        "type": "object",
        "properties": {
          "data": {
            "type": "object",
            "properties": {
              "id": {
                "type": "string"
              },
              "actId": {
                "type": "string"
              },
              "userId": {
                "type": "string"
              },
              "startedAt": {
                "type": "string",
                "format": "date-time",
                "example": "2025-01-08T00:00:00.000Z"
              },
              "finishedAt": {
                "type": "string",
                "format": "date-time",
                "example": "2025-01-08T00:00:00.000Z"
              },
              "status": {
                "type": "string",
                "example": "READY"
              },
              "meta": {
                "type": "object",
                "properties": {
                  "origin": {
                    "type": "string",
                    "example": "API"
                  },
                  "userAgent": {
                    "type": "string"
                  }
                }
              },
              "stats": {
                "type": "object",
                "properties": {
                  "inputBodyLen": {
                    "type": "integer",
                    "example": 2000
                  },
                  "rebootCount": {
                    "type": "integer",
                    "example": 0
                  },
                  "restartCount": {
                    "type": "integer",
                    "example": 0
                  },
                  "resurrectCount": {
                    "type": "integer",
                    "example": 0
                  },
                  "computeUnits": {
                    "type": "integer",
                    "example": 0
                  }
                }
              },
              "options": {
                "type": "object",
                "properties": {
                  "build": {
                    "type": "string",
                    "example": "latest"
                  },
                  "timeoutSecs": {
                    "type": "integer",
                    "example": 300
                  },
                  "memoryMbytes": {
                    "type": "integer",
                    "example": 1024
                  },
                  "diskMbytes": {
                    "type": "integer",
                    "example": 2048
                  }
                }
              },
              "buildId": {
                "type": "string"
              },
              "defaultKeyValueStoreId": {
                "type": "string"
              },
              "defaultDatasetId": {
                "type": "string"
              },
              "defaultRequestQueueId": {
                "type": "string"
              },
              "buildNumber": {
                "type": "string",
                "example": "1.0.0"
              },
              "containerUrl": {
                "type": "string"
              },
              "usage": {
                "type": "object",
                "properties": {
                  "ACTOR_COMPUTE_UNITS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_WRITES": {
                    "type": "integer",
                    "example": 1
                  },
                  "KEY_VALUE_STORE_LISTS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_INTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_SERPS": {
                    "type": "integer",
                    "example": 0
                  }
                }
              },
              "usageTotalUsd": {
                "type": "number",
                "example": 0.00005
              },
              "usageUsd": {
                "type": "object",
                "properties": {
                  "ACTOR_COMPUTE_UNITS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_WRITES": {
                    "type": "number",
                    "example": 0.00005
                  },
                  "KEY_VALUE_STORE_LISTS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_INTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_SERPS": {
                    "type": "integer",
                    "example": 0
                  }
                }
              }
            }
          }
        }
      }
    }
  }
}

Google Search Results Scraper OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for Google Search Results Scraper from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

Google Search Results Scraper API in Python

Google Search Results Scraper API in JavaScript

Google Search Results Scraper API through CLI

Google Search Results Scraper API

Google Search Results (SERP) Scraper

scrapepilotapi/google-search-results-serp-scraper

🔎 Google Search Results (SERP) Scraper pulls titles, URLs, snippets, ranks, People Also Ask, featured snippets, ads & local pack across geo/language/device. ⚙️ Pagination + structured output. 🚀 Ideal for SEO audits, rank tracking, PPC, competitive & content research.

ScrapePilot

Google Search Results Serp Scraper

scraperforge/google-search-results-serp-scraper

🔎 Google Search Results SERP Scraper extracts titles, URLs, snippets, organic results, ads, PAA, featured snippets, local pack & positions. 🌍 Geo, language & device targeting. 📦 JSON/CSV export for SEO, competitor research, rank tracking & content strategy. ⚡ Fast & reliable.

ScraperForge

Google Search Results (SERP) Scraper

scrapebase/google-search-results-serp-scraper

🔎 Google Search Results (SERP) Scraper extracts organic results, titles, URLs, snippets, ads, PAA, featured snippets, local pack & more by keyword, location, language & device. ⚙️ Ideal for SEO monitoring, rank tracking & competitor intel. 🚀 Fast, scalable, anti-blocking.

ScrapeBase

Google Search Results Scraper — Free SerpAPI Alternative

lanky_quantifier/google-serp-scraper

Scrape Google Search results for any keyword. Returns titles, URLs, snippets, featured snippets, and People Also Ask. Supports location targeting, language, and custom result count. Ideal for SEO research, competitor analysis, and rank tracking.

Vhub Systems

Google Search Results Serp Scraper

scrapier/google-search-results-serp-scraper

🔍 Google Search Results SERP Scraper extracts real-time Google SERP data—titles, URLs, snippets, rankings, ads, PAA, featured snippets & local pack. 📊 Ideal for SEO audits, rank tracking, content planning & competitor research. 🚀 Fast, accurate, geo & device targeting.

Scrapier

Google Search Scraper — SERP Results, Snippets & People Also As

sovereigntaylor/google-search-scraper

Extract Google Search results at scale. Scrape organic results (title, URL, description, position), featured snippets, People Also Ask questions, and related searches. Filter by country (50+ regions) and language (40+ languages). Supports Google search operators. Perfect for SEO research, SERP track

Ricardo Akiyoshi

Google Search Results Scraper

scraperforge/google-search-results-scraper

🔎 Google Search Results Scraper extracts live SERP data—titles, snippets, URLs, rankings, ads & featured snippets—by location, language and device. ⚙️ Built for SEO, keyword research, competitor analysis & content planning. 🚀 Fast, scalable, proxy-ready.

ScraperForge

Google SERP Scraper - Search Results, Rankings & SERP Features

alizarin_refrigerator-owner/google-serp-scraper

Scrape Google search results including organic listings, local pack, featured snippets, People Also Ask, and ads. Perfect for SEO research, rank tracking, and competitive analysis. Track Rankings Analyze SERP Features Research Competition Study User Intent Monitor Local SEO

The Howlers

Google Search Results Scraper

scraply/google-search-results-scraper

🔎 Google Search Results Scraper captures real-time SERP data — titles, URLs, snippets, positions, People Also Ask & related searches. 🌍 Support for location, language & date. 📊 Perfect for SEO, content research, and market intel. 🚀 Fast, reliable, and scalable.

Scraply

Google Serp Scraper

pear_fight/google-serp-scraper

Scrape Google search results (SERP) — organic results, ads, featured snippets, People Also Ask, and knowledge panels. Essential for SEO monitoring, keyword research, and SERP tracking.