Best tools for web scraping

Inngest replaces traditional queues with durable step functions, enabling reliable multi-step workflows on serverless, servers, or the edge.

htmlparser2 is the fastest Node.js HTML and XML parser, offering a streaming, event-driven API with a forgiving approach to malformed markup.

dlt is a lightweight, open-source Python library for loading data from any source into well-structured datasets with automatic schema inference.

MechanicalSoup is a Python library for automating website interaction, handling cookies, redirects, forms, and links without a browser.

Huey is a lightweight Python task queue with a clean API supporting Redis, SQLite, or in-memory storage for background job processing.

Apache Hudi is an open data lakehouse platform that enables efficient record-level upserts, incremental processing, and ACID transactions on data lakes.

LLM Scraper is a TypeScript library that extracts structured data from any webpage using LLMs with Zod schemas, Playwright, and streaming support.

Rod is a Go library for web automation and scraping that drives browsers via the DevTools Protocol with a simple, chainable API.

Amazon DynamoDB is a fully managed, serverless NoSQL database with single-digit millisecond performance for high-throughput scraping workloads.

Apache Iceberg is a high-performance open table format enabling multi-engine analytics with schema evolution, time travel, and hidden partitioning.

LanceDB is a serverless vector database built in Rust that runs embedded or in the cloud with native DataFrame integration for AI workloads.

Mage AI is a data engineering platform that lets you build, deploy, and run scalable data pipelines with AI assistance across Python, SQL, and R.

Scrapling is an adaptive Python scraping framework that learns from website changes, handling everything from single requests to full-scale crawls.

Apache Cassandra is a distributed NoSQL database that handles massive amounts of scraped data with high availability and linear scalability.

WebdriverIO is an all-in-one Node.js automation framework for web and mobile testing with smart selectors, component testing, and extensive plugins.

TestCafe is a free, open-source end-to-end testing framework that works across browsers without WebDriver, with intuitive syntax and built-in waiting.

RQ is a lightweight Python library for queueing jobs and processing them in the background with Redis-backed workers.

Great Expectations helps data teams validate, document, and monitor data quality across pipelines with automated testing and observability.

StarRocks is an open-source analytical database that delivers sub-second query latency for complex joins and aggregations at enterprise scale.

Manticore Search is a fast, open-source search database that delivers 2.8x faster performance than Elasticsearch for full-text and analytical queries.

OpenSearch is an Apache 2.0-licensed search and analytics suite that lets you ingest, search, visualize, and analyze scraped data at scale.

KeyDB is a multithreaded Redis-compatible database delivering over 1M ops/sec per node for high-throughput caching and queuing.

Chromedp is a fast, dependency-free Go package for driving browsers via the Chrome DevTools Protocol for web scraping, testing, and automation.

Apache Druid is a real-time OLAP database that delivers sub-second queries on streaming and batch data for analytics at scale.

Memcached is a free, high-performance distributed memory caching system that speeds up dynamic applications by caching scraped data in RAM.

Dagster is a data orchestration platform that helps teams build, schedule, and monitor reliable data pipelines with integrated lineage and observability.

GoQuery brings jQuery-like syntax to Go for parsing and manipulating HTML documents, making web scraping in Go intuitive and efficient.

Apache Doris is a real-time analytical database with MySQL-compatible syntax for high-concurrency queries over large scraped datasets.

Weaviate is an AI-native vector database with built-in ML models for hybrid search, RAG, and semantic retrieval over scraped content.

Windmill is an open-source platform for building workflows, internal tools, and data pipelines with full code flexibility and a visual flow builder.

QuestDB is an open-source time-series database delivering ultra-low latency ingestion and queries for scraping metrics and monitoring data.

Temporal is a durable execution platform that makes distributed applications fault-tolerant by automatically capturing state and recovering from failures.

Luigi is a Python package by Spotify for building complex pipelines of batch jobs with dependency resolution, workflow management, and Hadoop support.

PostgreSQL with JSONB combines relational SQL power with flexible JSON document storage for scraped data that needs both structure and flexibility.

Skyvern automates browser-based workflows using LLMs and computer vision, replacing brittle scripts with AI that adapts to any webpage automatically.

RustFS is a high-performance distributed object storage system built in Rust with S3 compatibility and multi-cloud support.