Shottr is a tiny (2.3mb dmg) native app optimized for Apple Silicon. It takes only 17ms to grab a screenshot, and ~165ms to show it to you.
Make your screenshots stand out with gradients backgrounds, shadows and rounded corners.
Take a screenshot of a long web page or capture conversation in a chat. Any app, any window.
Hide parts of your screen behind pixelated curtain, or remove sensitive information as if it was never there. Text mode hides text without corrupting anything else.
Came by a text that won’t select? Press a hotkey and select an area — Shottr will parse the text and copy it to the clipboard. OCR feature also reads QR codes.
Take multiple screenshots and put them on the same canvas using the Add Capture button on the toolbar.
Make your screenshots bigger or smaller, right in the app (click on the image size in the upper right corner).
Pin images as floating always-on top borderless windows. Convenient for keeping references, or as a temporary screenshots storage.
Add text, freehand drawings, highlights, spotlights and other visual effects to your drawings.
Paste images on top of your screenshots. Make overlays semi-transparent to highlight the differences, or generate two-frame before/after animations.
Press ↑ or ↓ key and move your mouse to measure vertical size, ← or → for horizontal size. Click to imprint the measurement on the screenshot.
Select a dedicated folder to save screenshots on ⌘ s. Great for purchase receipts, reminders, archive items, random images, etc.
Think of Shottr as your digital magnifying glass. If you need to have a closer look at something, take a screenshot and zoom in.
Take a screenshot, zoom in, move your mouse over the pixel and press the TAB key to copy color under the cursor.
(Check the Feature Request Form for the other popular requests)
Don't worry, I'm too lazy for spam
Ensure your crawler updates its TLS fingerprints (JA3 fingerprints) and HTTP/2 settings. Yandex analyzes network-level signatures, not just your User-Agent string. Python Blueprint: Resilient Nighttime Scraper Setup
Heavy automated requests can cause database locks; handling them at night minimizes active disruption.
This indicates high-volume, localized Turkish-market querying ( sonuç bulundu ). Parsing queries with millions of matches requires handling Yandex's deep pagination limits, as search engines rarely let bots or humans click past page 100 (approx. 1,000 results) without advanced parameters. Step 1: Overcoming Yandex’s Deep Pagination Limits crawling night 102 fu10 yandex 3 milyon sonuc bulundu better
: Developers use specific, unique strings (like "night 102 fu10") to test if their crawlers can find and retrieve data from search engine result pages (SERPs) without being blocked.
The number likely refers to crawl depth or max pages to fetch per domain . A depth of 102 means the crawler will follow links 102 hops away from the seed URL. On a large site, depth 102 could theoretically discover millions of URLs. Ensure your crawler updates its TLS fingerprints (JA3
To understand why this search produces "3 million results," we must break down the components:
Crawling Night appears to be a concept that originated from the depths of the internet, specifically from the darker corners of the web. It's a term that has been associated with various online communities and forums, where users share and discuss their experiences with this mysterious phenomenon. Step 1: Overcoming Yandex’s Deep Pagination Limits :
In the vast and ever-expanding universe of the internet, searching for specific, niche content can feel like looking for a needle in a digital haystack. Sometimes, a search query surfaces with incredible volume, hinting at a hidden trend, a niche community, or a specific, high-interest topic. The search term (meaning "3 million results found better" in Turkish) represents one of those moments—a confluence of specific parameters leading to a vast repository of data on Yandex.
Never request pages at perfectly uniform intervals. Introduce random human-like delays (e.g., between 1.5 to 4.2 seconds) to bypass automated pattern recognition algorithms.
Obtaining 3 million raw results is only half the battle. Raw scrape data is notoriously noisy, filled with duplicate links, scraper traps, and irrelevant pages. Metric / Challenge Raw Scraped Data Optimized ("Better") Data Pipeline Includes sitelinks, ads, and sub-pages. Extracts clean, unique root domains or target paths. Server Load High risk of IP bans due to aggressive speeds. Throttled, randomized delays mimicking human rhythm. Storage Overhead Massive, repetitive HTML files. Extracted text/URLs stored cleanly in normalized databases. Implementing De-duplication Strategies
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