Google Fast Search Scraper
Pricing
from $0.04 / 1,000 results
Google Fast Search Scraper
π₯ ~$0.05/1K results π₯ 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
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10
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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
| Parameter | Type | Default | Description |
|---|---|---|---|
| query | string | required | Google search query. Supports operators: "exact phrase", -exclude, site:example.com, filetype:pdf |
| maxResults | integer | 10 | Max results (1β100) |
| gl | string | β | Country code for geo-targeting (us, vn, jp) |
| hl | string | β | Interface language (en, vi, ja) |
| sort | string | β | Sort expression (see below) |
| searchType | string | web | web or image |
| knowledgeGraphLimit | integer | 5 | Max Knowledge Graph entities. 0 to disable |
| proxyConfiguration | object | Apify proxy | Proxy settings |
Sort options
The sort parameter accepts expressions that control result ordering.
Sort by date:
| Value | Description |
|---|---|
date | Newest first |
date:a | Oldest first |
Bias by date (promotes recent/old results without excluding undated pages):
| Value | Description |
|---|---|
date:d:s | Strong bias toward recent |
date:d:w | Weak bias toward recent |
date:a:s | Strong bias toward older |
Restrict to date range (format YYYYMMDD):
| Value | Description |
|---|---|
date:r:20250101:20250601 | JanβJun 2025 only |
date:r:20250101: | From Jan 2025 onward |
date:r::20250101 | Before Jan 2025 |
Sort by structured data (when pages have PageMaps):
| Value | Description |
|---|---|
review-rating:d | By rating, descending |
review-rating:d:s | Bias toward high ratings |
review-rating:d:s,review-date:d:w | High 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 ..."}}
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
glset - Not all queries return Knowledge Graph entities
sortuses Google's date format (YYYYMMDD), not ISO dates- No ads, People Also Ask, or AI overviews (use a SERP scraper for those)
