google-search-results-php VS sourcegraph

automatic-images-classifier-generator is a machine learning tool written in Python using SerpApi, Pytorch, FastAPI, and Couchbase to provide automated large dataset creation, automated training and testing of deep learning models with the ability to tweak algorithms, storing the structure and results of neural networks all in one place.

In previous weeks, we have created an object in the database, and stored machine learning training, testing, and dataset information within it. This week we will do the final step necessary to release the source code to the public, unit testing machine learning tool. The metrics in these tests will give an idea about which ml models can be created, and which ones cannot be. These unit tests should not be confused with testing machine learning models themselves. These tests are checking the scalability aspect of machine learning and not the individual ML Models. I will talk about the source code release next week in the conclusion part. In the meantime, you may Register to Claim Free Credits to get to know SerpApi ecosystem.

{ "results for image 1": { "knowledge_graph": { "title": "Stairs", "description": "Stairs are a structure designed to bridge a large vertical distance by dividing it into smaller vertical distances, called steps. Stairs may be straight, round, or may consist of two or more straight pieces connected at angles. Types of stairs include staircases, ladders, and escalators." }, "organic_results": [ { "position": 1, "title": "Stairs - Wikipedia", "link": "https://en.wikipedia.org/wiki/Stairs", "snippet": "Stairs are a structure designed to bridge a large vertical distance by dividing it into smaller vertical distances, called steps. Stairs may be straight, ..." }, ... other organic results { "position": 4, "title": "Foto HD de Claudio Schwarz - Unsplash", "link": "https://unsplash.com/es/fotos/ipcsI15th5I", "snippet": "Nuevo: Unsplash ahora está disponible en varios idiomas. Puedes volver a cambiar al inglés cuando quieras. Próximamente habrá más idiomas." } ], "inline_images": [ { "source": "https://www.flickr.com/photos/thepiratesgospel/6107309586/", "thumbnail": "https://serpapi.com/searches/62e907cb5b54ef5af08d6ff2/images/6886d2b2c5499da05d656e39563b001cc2a1b485150c7a5761ed1190edbccb0f.jpeg" }, ... other thumbnails { "source": "https://en-gb.facebook.com/qualitycarpetsdirect/posts/", "thumbnail": "https://serpapi.com/searches/62e907cb5b54ef5af08d6ff2/images/6886d2b2c5499da08e88e75176317a1c08b36d2c2800f2329de12d162eab24e9.jpeg" } ] }, ... other results "results for image 5": { "knowledge_graph": { "title": "Art", "description": "Art is a diverse range of human activity, and resulting product, that involves creative or imaginative talent expressive of technical proficiency, beauty, emotional power, or conceptual ideas." }, "organic_results": [ { "position": 1, "title": "Art.com | Wall Art: Framed Prints, Canvas Paintings, Posters ...", "link": "https://www.art.com/", "snippet": "Shop Art.com for the best selection of wall art and photo prints online! Low price guarantee, fast shipping & free returns, and custom framing options ..." }, { "position": 2, "title": "Art - Wikipedia", "link": "https://en.wikipedia.org/wiki/Art", "snippet": "Art is a diverse range of human activity, and resulting product, that involves creative or imaginative talent expressive of technical proficiency, beauty, ..." } ], "inline_images": [ { "source": "https://www.leireunzueta.com/journal/tag/summer", "thumbnail": "https://serpapi.com/searches/62e907d0e13508b8c60f4c3b/images/6c0c95a05f3c4aa45e83ffe98a6112df67130eb20d484feef2c133f72ab49a3f.jpeg" }, ... other thumbnails { "source": "https://unsplash.com/photos/onMwdrVfMuE", "thumbnail": "https://serpapi.com/searches/62e907d0e13508b8c60f4c3b/images/6c0c95a05f3c4aa4deae63325b5a810305c9d32f794fc72c1849753080f116fa.jpeg" } ] } }

We've built https://serpapi.com

We've invented the industry what you referring as "data type specific APIs"; APIs that abstract away all proxies issues, captcha solvings, various layouts support, even scrapping-related legal issues, and much more to a clean JSON response every single call. It was a lot of work but our success rate and response times are now rivaling non-scraping commercial APIs: https://serpapi.com/status

I think the next battle will be still legal despite all the wins in favor of scrapping public pages and common sense understanding this is the way to go. The EFF has been doing an amazing work in this world and we are proud to be a significant yearly contributor to the EFF.

This week, we will explore the combined capabilities of SerpApi’s powerful Google Images Results Scraper API on top of FastAPI’s fast to build web framework. We will start by creating a simple image database creator with sync method, and build up from there.

Originally published at https://serpapi.com on May 4, 2022.

If you test the search here https://serpapi.com/ you have a JSON output to the right, does this contains everything you need? If so then you can get this with a fairly easy script. But as this is a business question it looks like something for this site.

SerpApi | https://serpapi.com | Senior Web Engineer | Based in Austin, TX but everyone is remote | Full-time | ONSITE or FULLY REMOTE (We're a remote first company) | $150k 1099 for US or local avg + 20% for outside the US

SerpApi is the leading API to scrape and parse search engine results. We deeply support Google, Google Maps, Google Images, Bing, Baidu, and a lot more.

Our current stack is Ruby, Rails, MongoDB, and React.JS. We are looking for a senior web designer, a senior Front End Engineer, and a Senior Backend Engineer. For the senior web designer position, we're looking for someone to give us a strong visual direction and experience in CSS, JS, or React are definitely plusses but not required.

We have an awesome work environment: We are a remote first company. We do continuous integration, continuous deployments, code reviews, code pairings, profit sharing, and most of communication is async via GitHub. We value super strongly transparency, do open books, have a public roadmap, and contribute to the EFF.

Apply at: https://serpapi.com/team

By the way, if you're looking for a programmatic data extraction solution from Google (PlayStore, Maps, Images, YouTube..), Yahoo!, Naver, Bing and so on, have a try SerpApi 👀

{ "position": 1, "title": "Coffee - Wikipedia", "link": "https://en.wikipedia.org/wiki/Coffee", "displayed_link": "https://en.wikipedia.org › wiki › Coffee", "thumbnail": "https://serpapi.com/searches/62436d12e7d08a5a74994e0f/images/ed8bda76b255c4dc4634911fb134de5319e08af7e374d3ea998b50f738d9f3d2.jpeg", "snippet": "Coffee is a brewed drink prepared from roasted coffee beans, the seeds of berries from certain flowering plants in the Coffea genus. From the coffee fruit, ...", ... }

Sourcegraph | REMOTE | Full-Time | Machine Learning Engineer, Developer Advocate, Enterprise Product Manager, Technical Advisor | https://sourcegraph.com

Sourcegraph is a code AI platform that makes it easy to read, write, and fix code–even in big, complex codebases.

We are building Cody, an AI coding assistant that uses code search and code intelligence to help devs quickly understand what's happening in code and generate new code that matches the best practices in your codebase. Cody supports AI-enabled autocompletion, fixing bugs, refactoring, test generation, code explanation, and answering high-level questions. You can read Steve Yegge's post on why Cody's code context engine differentiates it from the fast-moving field of AI dev tools: https://about.sourcegraph.com/blog/cheating-is-all-you-need.

Apply here: https://grnh.se/0572f98b4us

That's pretty much what https://sourcegraph.com/ are selling, is it not?

Despite their shitty rug-pull <https://github.com/sourcegraph/sourcegraph/pull/53345>, I do really like Sourcegraph and one doesn't (currently?!) need to be logged in to use it: https://sourcegraph.com/search and they have a handy rewrite pattern such that one can just plug the repo path into the URL for quick searching e.g. https://sourcegraph.com/github.com/JetBrains/intellij-commun...

- https://sourcegraph.com is pivoting and building a copilot application (named Cody). This is pretty good, since sourcegraph is great at understanding your code

While a readable Dockerfile can work as documentation, there are a few caveats:

* the application needs to be designed to work outside containers (so, no hardcoded URLs, ports, or paths). Also, not directly related to containers, but it's nice if it can be easily compiled in most environments and not just on the base image.

* I still need a way to notify me of updates; if the Dockerfile just wgets a binary, this doesn't help me.

* The Dockerfiles need to be easy to find. Sourcegraph's don't seem to be referenced from the documentation, I had to look through their Github repos to find https://github.com/sourcegraph/sourcegraph/tree/main/docker-... (though most are bazel scripts instead of Dockerfiles, but serve the same purpose)

We use Sourcegraph, which is a tool that searches through code in repositories. We leverage this tool in order to understand the adoption curve of our components across all of Reddit. We have a dashboard for each of the platforms to compare the inclusion of RPL components over legacy components. These insights are helpful for us to make informed decisions on how we continue to drive RPL adoption. We love seeing the green line go up and the red line go down!

SourceGraph: https://github.com/sourcegraph/sourcegraph/pulls?q=is%3Apr+a...