Reworkd

Reworkd is an end-to-end web scraping platform for extracting web data at scale with LLMs, automated code generation, and ongoing data collection.

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Overview

Reworkd is an end-to-end web scraping platform that helps teams extract web data at scale. The product uses LLMs to parse, understand, and interact with web pages, then turns that into extraction code and automated pipelines.

It is aimed at users who need to collect and maintain data from many websites without managing the full scraping stack themselves. The site emphasizes less manual engineering work, fewer maintenance tasks, and support for ongoing extraction jobs across changing pages.

Features

End-to-end extraction pipeline

Reworkd scans websites, generates code, runs extractors, validates outputs, and returns data through a single workflow.

AI-assisted scraper generation

The product uses AI agents to understand pages and generate extraction logic for the data you need.

Web-page complexity handling

It is designed to handle challenges like pagination, infinite scroll, dynamic content, retries, and rate limiting.

Self-healing scrapers

Reworkd can detect changes in web content and repair extraction failures automatically when pages change.

Extraction analytics

The platform includes an interactive analytics dashboard for monitoring what is being extracted and how jobs are behaving.

Managed operational features

The pricing page lists API access, captcha solving, scheduled jobs, and a fully managed solution across plans.

Use Cases

Build website scrapers
Use Reworkd to build scrapers for public websites when you need structured output from pages that include subpages, changing layouts, or multiple content types.
Maintain ongoing extraction jobs
Use the platform to keep data pipelines running when target pages change often and manual extractor maintenance becomes expensive.
Populate data products and pipelines
Use it to collect large volumes of rows for downstream products, model training, or enrichment workflows that depend on current web data.
Offload scraping operations
Use the managed scraping stack to reduce the operational burden of proxies, captchas, retries, and browser infrastructure.

Pros and Cons

Pros

Combines page understanding, code generation, execution, validation, and output in one workflow.
Supports difficult scraping patterns such as pagination, infinite scroll, dynamic content, and rate limits.
Offers self-healing behavior when web pages change or extraction breaks.
Includes analytics and operational features such as scheduled jobs, captcha solving, and managed service options.
Pricing information is publicly listed, including a free Hobby tier and a custom Enterprise option.

Cons

The source material does not document supported integrations or workflow connectors beyond API access.
Advanced limits, deployment options, and operational constraints are not fully specified in the available pages.

FAQ

What does Reworkd do?

Reworkd is built to extract web data at scale by scanning pages, generating extraction code, running extractors, and validating results from one system.

How does Reworkd approach web scraping?

The source describes Reworkd as using LLMs to parse, understand, and interact with web pages so users can scrape data at scale.

Does Reworkd have pricing plans?

The pricing page shows Hobby, Pro, and Enterprise plans. Hobby starts at $0 per month, Pro starts at $99 per month, and Enterprise uses custom pricing.

Who is Reworkd for?

The documentation says Reworkd uses LLMs for scraping and that customers use it to extract large volumes of rows for data products, model training, and pipeline enrichment.

Quick Facts

Category: Web Scraping
Platform: Cloud service
Primary users: Teams extracting web data at scale
Source domain: reworkd.ai
Pricing model: Free tier, paid tier, and custom enterprise pricing
Documentation: Mintlify-hosted docs