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Google Fast Search Scraper

Pricing

from $0.04 / 1,000 results

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Google Fast Search Scraper

Google Fast Search Scraper

πŸ”₯ ~$0.05/1K results πŸ”₯ Search Google and get structured results including web pages, images, and Knowledge Graph entities. Returns titles, URLs, snippets, and full metadata. Supports geo-targeting, language, date filtering, sorting, and auto-pagination up to 100 results.

Pricing

from $0.04 / 1,000 results

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Developer

Kai

Kai

Maintained by Community

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18

Total users

10

Monthly active users

3 days ago

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Google Search Scraper

Get Google search results as structured JSON. Web results, image results, and Knowledge Graph entities with auto-pagination up to 100 results.

Unlike SERP scrapers that load Google in a browser and parse HTML, this queries Google's API directly. No browser, no CAPTCHAs, no breakage when Google redesigns their page. The trade-off: you get organic results, images, and Knowledge Graph only β€” no ads, People Also Ask, or AI overviews.

Quick start

{
"query": "web scraping best practices"
}

Default: 10 results. Set maxResults up to 100:

{
"query": "web scraping best practices",
"maxResults": 50
}

Image search:

{
"query": "Tokyo Tower",
"searchType": "image",
"maxResults": 30
}

Geo-targeted (search as if from Japan, in Japanese):

{
"query": "best restaurants",
"gl": "jp",
"hl": "ja"
}

Sort by date or restrict to a date range:

{
"query": "climate change policy",
"sort": "date:r:20250101:20250601"
}

Input

ParameterTypeDefaultDescription
querystringrequiredGoogle search query. Supports operators: "exact phrase", -exclude, site:example.com, filetype:pdf
maxResultsinteger10Max results (1–100)
glstringβ€”Country code for geo-targeting (us, vn, jp)
hlstringβ€”Interface language (en, vi, ja)
sortstringβ€”Sort expression (see below)
searchTypestringwebweb or image
knowledgeGraphLimitinteger5Max Knowledge Graph entities. 0 to disable
proxyConfigurationobjectApify proxyProxy settings

Sort options

The sort parameter accepts expressions that control result ordering.

Sort by date:

ValueDescription
dateNewest first
date:aOldest first

Bias by date (promotes recent/old results without excluding undated pages):

ValueDescription
date:d:sStrong bias toward recent
date:d:wWeak bias toward recent
date:a:sStrong bias toward older

Restrict to date range (format YYYYMMDD):

ValueDescription
date:r:20250101:20250601Jan–Jun 2025 only
date:r:20250101:From Jan 2025 onward
date:r::20250101Before Jan 2025

Sort by structured data (when pages have PageMaps):

ValueDescription
review-rating:dBy rating, descending
review-rating:d:sBias toward high ratings
review-rating:d:s,review-date:d:wHigh rating + recent
review-rating,review-rating:r:3.0:By rating, minimum 3.0

Output

Each search result is one row in the dataset.

Web search:

{
"title": "My ultimate guide to web scraping : r/datascience - Reddit",
"link": "https://www.reddit.com/r/datascience/comments/a116l5/my_ultimate_guide_to_web_scraping/",
"displayLink": "www.reddit.com",
"snippet": "Nov 28, 2018 ... Excellent tutorial. I particularly like saving the html files in case something goes wrong with the scraping. This is also a good idea ...",
"pagemap": {
"metatags": [
{
"og:image": "https://share.redd.it/preview/post/a116l5",
"og:type": "website",
"og:site_name": "Reddit",
"og:title": "r/datascience on Reddit: My ultimate guide to web scraping",
"og:description": "Posted by u/brendanmartin - 197 votes and 26 comments"
}
]
},
"html": {
"title": "My ultimate guide to <b>web scraping</b> : r/datascience - Reddit",
"snippet": "Nov 28, 2018 <b>...</b> Excellent tutorial. I particularly like saving the html files in case something goes wrong with the <b>scraping</b>. This is also a <b>good</b> idea&nbsp;..."
}
}

Image search adds image, mime, and fileFormat:

{
"title": "Tokyo Tower - Wikipedia",
"link": "https://upload.wikimedia.org/wikipedia/commons/thumb/5/58/Tokyo_Tower_2023.jpg/960px-Tokyo_Tower_2023.jpg",
"displayLink": "en.wikipedia.org",
"snippet": "Tokyo Tower - Wikipedia",
"mime": "image/jpeg",
"fileFormat": "image/jpeg",
"image": {
"contextLink": "https://en.wikipedia.org/wiki/Tokyo_Tower",
"height": 1280,
"width": 960,
"byteSize": 381361,
"thumbnailLink": "https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcTmKU8xLi6M5YTijS2AVf-81zQJrZZXE4sK7MxOXBnwzgXoPUn5cbZ22no&s",
"thumbnailHeight": 150,
"thumbnailWidth": 113
},
"html": {
"title": "<b>Tokyo Tower</b> - Wikipedia",
"snippet": "<b>Tokyo Tower</b> - Wikipedia"
}
}

The html fields contain the same title/snippet with bold tags around matching keywords.

Key-value store

SEARCH_INFO stores search metadata on the first page:

{
"searchInformation": {
"searchTime": 0.680919,
"formattedSearchTime": "0.68",
"totalResults": "17800000",
"formattedTotalResults": "17,800,000"
},
"spelling": null,
"promotions": null,
"context": { "title": "..." },
"queries": {
"request": [
{
"title": "Google Custom Search - web scraping best practices",
"totalResults": "17800000",
"searchTerms": "web scraping best practices",
"count": 10,
"startIndex": 1
}
],
"nextPage": [
{
"totalResults": "17800000",
"searchTerms": "web scraping best practices",
"count": 10,
"startIndex": 11
}
]
},
"searchParameters": {
"query": "web scraping best practices",
"gl": null,
"hl": null,
"sort": null,
"searchType": "web"
}
}

KNOWLEDGE_GRAPH stores entities matching your query:

{
"@type": "ItemList",
"itemListElement": [
{
"resultScore": 6953.152832,
"@type": "EntitySearchResult",
"result": {
"url": "http://www.tokyotower.co.jp/english/",
"name": "Tokyo Tower",
"description": "Tower in Minato, Japan",
"@type": ["Place", "Thing", "CivicStructure", "TouristAttraction", "Organization"],
"@id": "kg:/m/0132_x",
"detailedDescription": {
"url": "https://en.wikipedia.org/wiki/Tokyo_Tower",
"articleBody": "Tokyo Tower, a.k.a. Japan Radio Tower is a communications and observation tower in the district of Shiba-koen in Minato, Tokyo, Japan, completed in 1958. At 332.9 metres, it was the tallest tower in Japan until the construction of Tokyo Skytree in 2012."
}
}
}
]
}

Limitations

  • 100 results max per query, 10 per page
  • Results may vary by proxy region even with gl set
  • Not all queries return Knowledge Graph entities
  • sort uses Google's date format (YYYYMMDD), not ISO dates
  • No ads, People Also Ask, or AI overviews (use a SERP scraper for those)