Reworkd
Alternatives
0 PH launches analyzed!
Problem
Users manually write code for web scraping, which is time-consuming and error-prone, requiring significant technical expertise.
Solution
A web scraping tool where users input URLs and schema to auto-generate Playwright code that navigates subpages, scrapes data, and saves it automatically.
Customers
Data scientists, data analysts, developers, and business analysts needing structured web data without extensive coding.
Alternatives
Unique Features
AI understands website structures to generate context-aware scraping code, eliminating manual reverse-engineering.
User Comments
Simplifies scraping workflows
Reduces coding time significantly
Accurate schema extraction
Intuitive for non-developers
Handles dynamic sites effectively
Traction
Launched on ProductHunt with 400+ upvotes, active user base (exact MRR/users undisclosed).
Market Size
The global web scraping market is projected to reach $5.6 billion by 2027 (Grand View Research).
Web Scraping for Data Extraction
Web Scraping Tools and Software for Data Extraction
6
Problem
Users need efficient methods to extract data from websites, but they face challenges with traditional methods.
Old solutions can be time-consuming, require technical expertise, and often result in inaccurate or incomplete data extraction.
Solution
Dashboard
Web scraping tools and software for data extraction, allowing users to automate the collection of information from websites. Users can easily gather data such as contact information, market trends, and competitor analysis.
Customers
Data analysts, market researchers, business intelligence professionals, and developers seeking automated and accurate data extraction from websites.
Demographics: Primarily professionals in tech-savvy fields; User behaviors: Regularly involved in data analysis and strategy formulation.
Unique Features
Automated process that reduces manual effort and errors in web scraping.
Helps in collecting large volumes of data efficiently and accurately.
Offers ease of use with minimal technical skills required.
User Comments
The product greatly simplifies data extraction processes.
It saves significant time compared to manual methods.
Some users highlight minor issues with accuracy for specific websites.
Helpful for competitive analysis and market research.
Users appreciate the user-friendly interface.
Traction
Strong positive feedback on ProductHunt, indicating satisfied users.
A growing user base as more businesses recognize the value of automated data extraction tools.
Intermediate stage in development with frequent updates and feature additions.
Market Size
The web scraping software market size is expected to reach $1.02 billion by 2023, growing at a CAGR of 27.1%.
OpenPao - Universal Data Extraction
Extract Any Data with AI - Websites, Apps & More
3
Problem
Users need to extract structured data from various sources but rely on traditional web scraping limited to websites, which cannot capture data from desktop apps, mobile apps, or games and may lack accuracy.
Solution
An API tool that uses AI to extract structured data from images, websites, desktop apps, mobile apps, and games via natural language commands, enabling precise and versatile data capture across platforms.
Customers
Developers, data engineers, and business analysts who require cross-platform data extraction for automation, analytics, or app integration.
Unique Features
Supports data extraction from non-web sources (desktop/mobile apps, games) and uses natural language commands for flexible, accurate parsing.
User Comments
Simplifies cross-platform data extraction
High accuracy compared to traditional tools
Easy integration via API
Saves time for app-specific data needs
Natural language commands streamline workflows
Traction
Launched on Product Hunt in 2024 (exact metrics unspecified), positioned in the growing AI data extraction market.
Market Size
The global web scraping market is projected to reach $5.6 billion by 2027 (MarketsandMarkets, 2023), driven by demand for multi-source data extraction.
Data Extraction Tool
Batch extract structured data from unstructured sources.
16
Problem
Users need to manually extract structured data from unstructured sources like web pages, forms, and screenshots, which is time-consuming, error-prone, and requires technical expertise
Solution
A data extraction tool that automates structured data extraction via optimized OCR and custom AI models. Users can process batches of documents, achieve high accuracy, and ensure privacy (e.g., extracting data from Bills of Lading or web pages)
Customers
Data analysts, business analysts, and operations managers in industries like logistics, e-commerce, and finance who handle large volumes of unstructured data
Unique Features
Combines OCR with custom AI models for domain-specific data extraction, batch processing, zero learning curve, and GDPR-compliant privacy guarantees
User Comments
Saves hours of manual work
High accuracy even for complex documents
Easy to integrate into workflows
No coding skills required
Reliable for sensitive data
Traction
Launched 4 months ago, 2.3k+ users, $15k MRR, featured on ProductHunt with 380+ upvotes
Market Size
The global data extraction software market is projected to reach $4.2 billion by 2027 (CAGR 12.3%)
Data Donkee
Effortless web data extraction with AI-powered simplicity.
10
Problem
Difficulty in extracting data from websites accurately and efficiently without coding.
Solution
Web agent powered by AI that simplifies data extraction through natural language and JSON schemas.
Customers
Data analysts, researchers, businesses, and developers.
Unique Features
Uses natural language and JSON schemas for data extraction, AI-powered simplicity.
Market Size
The web data extraction market was valued at $1.51 billion in 2020 and is projected to reach $7.65 billion by 2027.
/extract by Firecrawl
Get structured web data with just a prompt
497
Problem
Users need structured web data for various tasks such as lead enrichment and KYB automation, but the old solution can be complex and time-consuming.
The drawbacks include the need to manually scrape and structure web data, which requires technical skills and significant effort.
Solution
Firecrawl offers an /extract endpoint that provides structured web data with just a prompt.
Users can receive clean JSON data by simply writing a prompt, enabling them to extract web data in seconds.
Examples include lead enrichment, KYB automation, and no-code workflows.
Customers
Data analysts, business developers, and no-code tool users who need streamlined access to web data.
Typically, these are professionals involved in lead generation and business automation.
Unique Features
Offers structured web data extraction through simple prompts.
Provides clean JSON outputs quickly without hassle.
User Comments
The product is very efficient for data extraction.
Users like the simplicity of extracting data with prompts.
Highly appreciated for lead enrichment purposes.
Considered a time-saving tool by many.
Some users find the open beta phase promising.
Traction
Recently launched in open beta.
The product is gaining attention for its ability to simplify data extraction workflows.
Market Size
The global web scraping software market is projected to reach $1.8 billion by 2023.
Web Scraper API
Automate data scraping & extraction | ujeebu
6
Problem
Users manually scrape data or use unreliable tools, facing time-consuming processes, reliability issues, and scalability challenges.
Solution
An API-based web scraping tool that automates data extraction from websites, enabling users to collect structured data at scale. Example: Scrape articles, search results, or e-commerce product details.
Customers
Developers, data analysts, and growth teams requiring large-scale, clean data for analytics, market research, or business intelligence.
Unique Features
Handles anti-scraping mechanisms, delivers structured data output, and scales seamlessly across diverse websites with high reliability.
User Comments
No user comments provided in the input.
Traction
Launched on ProductHunt with limited visible traction metrics (specific MRR, user count, or funding details unavailable from input).
Market Size
The global web scraping market was valued at $2.1 billion in 2023, projected to grow at 13.2% CAGR through 2030 (Grand View Research).
Extract Experts
Delivering web data efficiently and seamlessly
2
Problem
Users struggle with web data extraction, facing challenges like CAPTCHAs, blocking, and other barriers, resulting in inefficient and manual data collection processes.
Solution
Web-scraping solution with end-to-end management, overcoming CAPTCHAs and blocking issues, providing accurate and readable data at scale.
Customers
Data analysts, researchers, market analysts, and businesses in need of large-scale web data for decision-making and analysis purposes.
Unique Features
End-to-end web-scraping process handling, proprietary platform for bypassing barriers, and tailored solutions for efficient and accurate data extraction.
Market Size
The global web scraping market size was valued at $2.26 billion in 2021 and is projected to reach $7.64 billion by 2028, growing at a CAGR of 18.5%.
Webᵀ Crawl by Web Transpose
Realtime web data for LLMs
55
Problem
Users struggle to extract and structure data from entire websites efficiently, leading to difficulties in building custom Large Language Models (LLMs) due to the complex process of manually turning website content into usable formats for fine-tuning and vector databases. Extract and structure data from entire websites efficiently.
Solution
Webᵀ Crawl is a tool that automates the transformation of full website content, including PDFs and FAQs, into datasets designed for building custom LLMs. By inputting just one URL, Webᵀ Crawl converts website data into prompts for fine-tuning and chunks for vector databases, simplifying the process of preparing data for LLMs. Automates the transformation of full website content into datasets for building custom LLMs.
Customers
Data scientists, AI researchers, and developers who are working on building and fine-tuning Large Language Models (LLMs) for various applications. Data scientists, AI researchers, and developers.
User Comments
Saves a lot of time and effort in data preprocessing for LLMs.
Highly effective in transforming complex website content into structured formats.
User-friendly interface simplifies the process of data extraction.
Innovative solution for AI model developers.
Provides a competitive edge in the development of custom LLMs.
Scrape genie : SEO and web data analysis
Analyze website data in seconds with downloadable outputs
8
Problem
Users struggle with extracting comprehensive data from web pages, including detailed technical, media, and social link content. The old solution involves manually extracting information, which is often time-consuming and inefficient. Manual extraction can lead to errors and requires significant effort.
Solution
A tool for comprehensive data extraction from webpages, allowing users to extract diverse information including technical details, media, and social links. It provides a user-friendly interface built on Streamlit to support seamless workflow integration.
Customers
SEO specialists, data analysts, digital marketers, and web developers who need precise and comprehensive data from web pages for analysis and strategic planning.
Unique Features
The product offers comprehensive data extraction capabilities beyond just basic content. It can pull technical details, media, and social links. The user-friendly Streamlit interface ensures ease of integration into existing workflows.
User Comments
Users find the product highly efficient for gathering detailed web data.
The interface is appreciated for being user-friendly and easy to navigate.
Some users highlight the seamless integration into their existing processes.
A few users noted that the range of data extracted is more comprehensive than other tools.
The product's ability to download outputs was seen as a convenient feature.
Traction
Currently, there are no specific quantitative figures available about product launch versions, user numbers or revenue figures. The product seems newly introduced with early user reviews on ProductHunt.
Market Size
The global web scraping software market size was valued at $450 million in 2020 and is expected to grow at a CAGR of 13.5% from 2021 to 2028.