search-engines
grub-2.0
| search-engines | grub-2.0 | |
|---|---|---|
| 2 | 4 | |
| 15 | 19 | |
| - | - | |
| 0.0 | 0.0 | |
| 9 months ago | over 1 year ago | |
| Markdown | Python | |
| - | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
search-engines
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I want to dive into how to make search engines
I'm in a similar bandwagon. I just started collecting search engines and analyzing them. I've listed some of them at https://github.com/Tintedfireglass/search-engines and what they le it is easy to look at search algorithms, queries and User interfaces I still don't understand how to create one
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Ask HN: Any resonably good alternate search engines?
I had the same problem so started this project, currently it just lists 70search engines, planning to review them after summer https://github.com/Tintedfireglass/search-engines
grub-2.0
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I want to dive into how to make search engines
Not finished, but the Selenium based crawler works pretty well to combat most blocks: https://github.com/kordless/grub-2.0
For IP blocks, try this: https://github.com/kordless/mitta-screenshot
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Ask HN: Decent, open source search engine?
I started https://mitta.us as this, but am pivoting to prompt management for GPT-3. I've Open Sourced the code for the crawler here: https://github.com/kordless/grub-2.0. The entire system uses Google Vision for extracting text. I dislike fiddling with the DOM...
If you are interested in using Solr for this, I can provide instructions to you. I'm kordless at the gmails ... com.
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How to Scrape and Extract Hyperlink Networks with BeautifulSoup and NetworkX
Depending on the use case you might try imaging the page, then send the image to an ML model for full text before indexing. If you need links extracted, Selenium also supports parsing the assembled DOM: https://github.com/kordless/grub-2.0/tree/main/aperture
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Mastering Web Scraping in Python: Crawling from Scratch
I’ve found imaging the page and doing OCR on the image is quite good for text extraction. Many pages on the Internet render with JavaScript, which means BS may not see the text in the DOM.
Here is the code to do some of that: https://github.com/kordless/grub-2.0
What are some alternatives?
go-sstables - Go library for protobuf compatible sstables, a skiplist, a recordio format and other database building blocks like a write-ahead log. Ships now with an embedded key-value store.
ChromeController - Comprehensive wrapper and execution manager for the Chrome browser using the Chrome Debugging Protocol.
now - 🧞 No-code tool for creating a neural search solution in minutes
skyscraper - Structural scraping for the rest of us.
MeiliSearch - A lightning-fast search API that fits effortlessly into your apps, websites, and workflow
mitta-screenshot - Mitta's Chrome extension for saving the current view of a website.
phalanx - Phalanx is a cloud-native distributed search engine that provides endpoints through gRPC and traditional RESTful API.
rod - A Devtools driver for web automation and scraping
markov - Materials for book: "Markov Chains for programmers"