SERP Word2Vector Embedding

Vector Embeddings Generator

mhamas/vector-embeddings-generator

Turn any text into semantic embedding vectors — perfect for search, similarity matching, clustering, and recommendations. Just feed your texts as JSON or a URL and get 768-dimensional vectors back. Powered by nomic-embed-text-v1.5 with 8K token context. No GPU needed.

Extracting detailed data from Google Search Engine Results Pages (SERPs) specific to search, including organic and paid listings, descriptions, URLs, and emphasized keywords. Ideal for digital marketers, SEO professionals, and market researchers. It will not scrap each site (easy and light run).

Scrape 969+ exhibitors from embedded world 2026. Get company names, emails, contact persons, booth locations, categories, and products. Fast API-based extraction with country filtering. Perfect for sales leads and event preparation.

Example Puppeteer Promise Pool

mtrunkat/puppeteer-promise-pool-example

Example how to use Puppeteer in parallel using 'es6-promise-pool' npm package.

Collect public search result titles, URLs, snippets, ranks, and domain positions by keyword.

John Lewis

mynewhome/john-lewis

John Lewis scraper

Extract structured business data from Google Maps, including names, addresses, phone numbers, ratings, reviews count, and categories. Useful for lead generation, competitor research, and local business analysis with exportable datasets.

Extract allowlisted fields from non-executable application/json script records using a simple dot path.

Extract articles, authors, tags and engagement metrics from Dev.to via official API. Perfect for technical content analytics.