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APIs & datasets for the platforms that matter | Happy Endpoint
Access web-scraping APIs and bulk datasets for real estate, travel, and retail sectors with free samples.
@happyendpointhq · X
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60 projects
Access web-scraping APIs and bulk datasets for real estate, travel, and retail sectors with free samples.
@happyendpointhq · X
Scrape SERPs and AI model responses via API with sources and citations.
rbatista19 · HN
Generous free tier for SERP and AI web scraping
Web scraping API that extracts structured data from websites for AI agents.
mohitprateek · HN
Anakin – API for your AI agents to access the most difficult websites
ScrapingDaddy helps developers and businesses extract public website data at scale with a reliable API, JavaScript rendering, geo-targeting, and simple integration.
@tadyav · X
ScraperQ is a Chrome extension that generates stable selectors with AI and auto-repairs them when websites change. No-code setup, reusable templates, and Google Sheets export.
@saifulaiub · X
AI Powered No Code Data Scraper tools which can work even if sites has been changed entirely. Useful for Marketers, Ecommerce Business, Real State business, Data Enginering, Leads Collectors etc. Website:
Extract web content as clean Markdown, JSON, or text for AI and RAG pipelines.
Sparkfetch · GitHub
sparkfetch 🔥 Turn any URL into clean, structured, LLM-ready content. The open-source web fetching & extraction API.
Convert fragmented business data into trusted AI answers with full source traceability.
sluice_data · Product Hunt
SluiceData Turn scattered data into trusted, AI-ready answers
Build data dashboards from multiple datasources with automated transforms and modeling.
u/Lopsided_Working2023 · Reddit
I built a product that's like Lovable, but for data apps Hi all, I started a personal project just out of curiosity. The goal was to build an app that: Ingests from datasources to our platform Transforms Models Creates dashboards or other data products Refreshes the whole thing on picked schedule From a single, or a few, user prompts. The idea arose because I've noticed that agents are making LEAPS of progress at data engineering and analytics in a short time
Self-hosted hybrid RAG on a €116/month cluster — Postgres, BM25, vectors, a reranker, and a public benchmark score for every claim.
victor_edka · HN
HRAG – Hybrid RAG on €116/month of Hetzner, officially benchmarked
Query spreadsheets and datasets with natural language questions to instantly generate answers and reports.
u/maybeImakemoney · Reddit
I built the thing. Now I am not sure the base use case is one people will pay for. Founder here. This started as a side learning project to see whether an LLM could answer questions about Excel data, back when they could not do it well. I built the first version on n8n, with workflows that ingested files, generated metadata with an LLM, and answered questions against the converted data plus that metadata. Then I started using it for my own analysis and report generation, saw that the time sav
Analyze and visualize geospatial data, calculate distances, and process bulk CSV files with online GIS mapping tools.
@JanasSebastian · X
@Dusyantkmr https://t.co/efrXkyxkfq AI powered data cleaning and analysis. Chat based analysis. It is for students, researchers, data managers...just anyone with quantitative surve
@MutieRogers · X
AI powered data cleaning and analysis. Chat based analysis. It is for students, researchers, data managers...just anyone with quantitative survey data in Excel or any other format.