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web-scraper-api · GitHub Topics · GitHub

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web-scraper-api

Here are 41 public repositories matching this topic...

Extract live scores, match results, and league standings directly from Google Search. A flexible sports data API for scraping Google sports results and integrating real-time sports insights into your applications.

  • Updated Apr 9, 2026

A collection of multiple free datasets across various domains. Each sample contains over 1,000 records, ideal for market analysis, machine learning, consumer insights, and more.

  • Updated Dec 8, 2024

A sample dataset of over 1000 Airbnb listings, extracted using the Bright Data API, ideal for competitor tracking, brand reputation, and market analysis.

  • Updated Feb 12, 2026

A free local API wrapper for Google AI Mode. Send prompts, manage chats and retrieve responses from your own machine using Express + Playwright, without paid scraping providers or third-party API intermediaries.

  • Updated May 17, 2026
  • HTML

A high-performance, professional web scraping engine designed to extract product data from any e-commerce platform with extreme speed and accuracy. Phase 1 Complete.

  • Updated Jan 12, 2026

A high-performance universal web scraper engineered for speed and precision. Extracts product data from any e-commerce platform with automated bypass and multi-format export. Phase 1 Complete.

  • Updated Jan 12, 2026

Code to deploy that scrapes Reddit data related to Hurricane Helene discussions and stores them in CSV format for analysis.

  • Updated Nov 23, 2024
  • Python

Learn to convert JSON to Python dictionaries and objects, use API responses, handle files, and explore limitations.

  • Updated Jan 16, 2025

Indeed scraper in Python and Node using the ScrapingBee API. Pull job title, company, and location from Indeed results, page through them, and get JSON without parsing HTML. Ready-made pip and npm packages included.

  • Updated Jul 29, 2026

Eine Sammlung mehrerer kostenloser Datensätze aus verschiedenen Bereichen. Jedes Sample enthält über 1.000 Datensätze und ist ideal für Marktanalysen, Machine Learning, Consumer Insights und mehr.

  • Updated Jan 27, 2026

Python, Beautiful Soup, pandas, Requests를 사용하여 HTML 테이블 データ를 추출, 정리, 내보내어 원활한 データ 분석을 수행합니다.

  • Updated Jan 15, 2026

Python、Beautiful Soup、pandas、およびRequestsを使用してHTMLテーブルデータを抽出、クリーンアップ、エクスポートし、シームレスなデータ分析を実現します。

  • Updated Dec 31, 2025

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