SShortSingh.
Back to feed

Developer Launches Single-API Tool for Luxury Watch Market Pricing on Chrono24

0
·3 views

A developer has built a tool called chrono24-watch-analyzer, hosted on Apify, that delivers structured market pricing data for luxury watches in a single API call. The tool scrapes Chrono24 listings and returns key statistics including median price, percentiles, market depth, and certified seller share, while automatically filtering out promoted ads, accessories, duplicates, and defective listings. It supports up to 25 watch models per batch run and six regional Chrono24 domains, with pricing set at $0.02 per analysis. The tool only charges users when valid data is returned, distinguishing between genuine zero-result queries and site-level blocks by retrying with different proxies. All prices are labeled as live asking prices rather than confirmed sale prices, a distinction the developer emphasizes to avoid misleading market valuations.

Read the full story at DEV Community

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

Log in to join the discussion and vote.

Log in

Related stories

0
ProgrammingDEV Community ·

Test Your AI API Key With One Request Before Building Anything Else

Developers integrating AI APIs are advised to validate a new project-scoped key with a single basic request before touching any SDK or framework. The approach involves setting only the base URL, key, and model ID, then sending a minimal cURL request to confirm the integration actually works. Checking the request log for model, status, latency, token usage, and cost at this early stage can expose common failures such as wrong headers, stale keys, or incorrect endpoints. AI gateway platform TackleKey has updated its onboarding flow to guide new users through this single-request verification step before any payment decision. The advice applies broadly to anyone evaluating OpenAI-compatible gateways: start with one observable request rather than comparing models upfront.

0
ProgrammingDEV Community ·

Why Scale-to-Zero Fails Authentication Systems That Need Always-One Uptime

A software team evaluated migrating their authentication infrastructure to Azure Container Apps with scale-to-zero pricing but ultimately rejected the move. The core issue is that scale-to-zero runtimes only understand two states — zero instances when idle and N instances under load — but the team's auth backend requires exactly one instance running continuously. Beneath the stateless public endpoints, their system runs a singleton coordination layer that holds a cluster leadership lease and executes critical background jobs; having zero or duplicate executors causes silent failures or duplicate side effects. Forcing a minimum replica count of one on a serverless platform means fighting the runtime's core behavior at every scaling event, redeployment, or restart. Beyond architecture, the human cost is also clear: a cold-start delay on an auth service directly impacts users trying to log in, making the tradeoff unacceptable regardless of potential cost savings.

0
ProgrammingDEV Community ·

How an Incident Commander Role Cuts P1 Resolution Time by Over Half

The Incident Commander (IC) is a dedicated coordination role during engineering incidents, responsible for assigning tasks, managing communication, and making key decisions rather than debugging the issue directly. Without an IC, teams often duplicate effort, miss coordination, and leave stakeholders uninformed, resulting in average P1 resolution times of around 67 minutes. With an IC in place, that figure drops to roughly 28 minutes, according to metrics cited in the article. The IC follows a structured loop, posting regular updates, running a decision framework, and using pre-written templates for internal, status-page, and executive communications. Organizations can build IC capability through a phased training program spanning five or more weeks, supported by a rotating on-call pool of at least six trained engineers.

0
ProgrammingHacker News ·

Op-ed calls for transparency in Canada's AI strategy over Palantir contracts

A commentary published in The Line argues that Canada's artificial intelligence strategy should not involve undisclosed contracts with data analytics firm Palantir. The author, Al Vigier, raises concerns about government secrecy surrounding the use of Palantir's technology in public sector AI initiatives. The piece contends that Canadians deserve full transparency about how their data and public funds are being used in AI-related government deals. Vigier suggests that hidden arrangements with private firms like Palantir undermine public trust and democratic accountability in shaping national AI policy.