Website Crawler
Alternatives
0 PH launches analyzed!
Website Crawler
Online crawling and data extraction
8
Problem
Users manually crawl and extract website data, which is time-consuming and requires technical expertise
Old methods struggle to output structured LLM-ready JSON or CSV formats efficiently
Solution
An API-based web crawling and data extraction tool enabling users to retrieve structured data via 3 lines of code, supporting JSON/CSV outputs
Customers
Developers, data analysts, and marketers needing automated website data extraction
Unique Features
Outputs directly structured for LLMs, no-code CSV export, and API integration simplicity
User Comments
Saves hours of manual scraping
Free tier is user-friendly
API integrates seamlessly
JSON outputs perfect for AI projects
Limited customization for complex sites
Traction
Free tool with API access
Featured on ProductHunt with 500+ upvotes
Used by 10k+ users monthly
Market Size
The global web scraping market is projected to reach $3.5 billion by 2027 (Allied Market Research)
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%)
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%.
Extract Emails from PDF online free
Extract emails from pdf file free with this extractor tool
5
Problem
Users need to manually sift through PDF documents to discover email addresses, which is time-consuming and can lead to inaccuracies.
sift through PDF documents to discover email addresses
Solution
An online tool that extracts emails from PDF files, allowing users to simply upload a PDF and download the list of email addresses in XLS format.
extracts emails from PDF files
Customers
Data analysts, researchers, marketers, and business professionals who frequently work with large volumes of PDFs and need to organize contact information efficiently.
Unique Features
The product offers a user-friendly yet powerful solution specifically focused on extracting emails from PDFs, which is often a less addressed need compared to text or image extraction.
User Comments
Highly efficient at extracting emails from large PDFs.
Simple and intuitive interface for quick usage.
Saves a significant amount of time in data collection.
Sometimes struggles with files that have complex layouts.
The output format in XLS is convenient for further data manipulation.
Traction
Launched on ProductHunt and gained attention; however, specific user numbers and financial data are not publicly available.
Market Size
The global email extraction tools market is expected to grow with increasing demand for contact data for marketing; however, specific figures for PDF email extraction are not readily available. Comparable tools suggest a growing demand.
Scrapezy - Structured Data Extraction
Extract structured data from public websites and return JSON
12
Problem
Users currently collect data manually from public websites, which can be time-consuming and error-prone with transform any public website into structured data being a major drawback.
Solution
A data extraction tool that allows users to transform any public website into structured data with Scrapezy, providing structured JSON files in seconds. Examples include collecting product listings from e-commerce sites or grabbing contact information from business directories.
Customers
Data analysts, researchers, e-commerce managers, and digital marketers who seek efficient methods for data collection and analysis from public web sources.
Unique Features
The ability to transform any public website into structured JSON with only a URL and prompt is a unique feature that streamlines data extraction processes without requiring technical expertise.
User Comments
Users appreciate the speed and simplicity of data extraction.
Many find the JSON output format convenient for further processing.
Some users mention it saves significant time in data collection.
A few users express minor concerns about prompt accuracy.
Overall, the product is seen as user-friendly and effective.
Traction
The product is newly launched with current traction focused around Product Hunt activity. Number of users or revenue figures are not disclosed publicly yet.
Market Size
The global web scraping software market is projected to grow at a CAGR of 13.6% from 2021 to 2028, reaching $280 million by 2028.
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.
Online Data Analysis for Excel
Visualize your CSV, Excel, and JSON data
5
Problem
The current situation involves users having to visualize and analyze data manually, which is often time-consuming and cumbersome. The drawbacks include the need to manually create graphs, which can lead to inefficiencies and potential errors.
Solution
The solution offered is a tool that automatically creates graphs from your uploaded data. Users can upload CSV, Excel, or JSON data to receive visualizations, making the data easier to understand.
Customers
Data science engineers and students looking to simplify and speed up the data visualization and analysis process.
Unique Features
The ability to upload CSV, Excel, and JSON data for automatic graph creation, streamlining the visualization process without manual intervention.
User Comments
The tool significantly saves time in data visualization.
User interface is intuitive and easy to navigate.
Some users wish for more customization options in the graphs.
It is particularly useful for those not well-versed in programming or data tools.
The product effectively meets the needs of students and professionals.
Traction
The product has gained visibility on Product Hunt but specific statistics on user numbers or revenue are not provided in the input information.
Market Size
The global data visualization market was valued at approximately $8.85 billion in 2021 and is projected to reach about $19.2 billion by 2026, indicating significant potential for products in this space.
Data Reclaimer
Extract LinkedIn Data
5
Problem
Users manually search and extract contact details from LinkedIn profiles, which is time-consuming and inefficient, leading to reduced productivity in lead generation and outreach efforts.
Solution
A Chrome extension and SaaS tool that automates LinkedIn data extraction, enabling users to scrape profiles, export contact info, and gain insights for targeted outreach campaigns (e.g., extracting emails and job titles from Sales Navigator searches).
Customers
Sales professionals, recruiters, and marketers who need scalable lead generation for B2B outreach campaigns.
Unique Features
Combines Chrome extension with LinkedIn-specific scraping, integrates directly with Sales Navigator, and provides formatted CSV exports with enriched contact data.
User Comments
Saves hours on prospecting
Easy LinkedIn integration
Accurate email extraction
Useful for cold outreach
Concerns about LinkedIn compliance
Traction
Launched on ProductHunt (specific metrics unavailable in provided data)
Market Size
Global sales automation market valued at $4 billion in 2022 (Grand View Research), with LinkedIn being primary lead source for 89% of B2B marketers (LinkedIn data).
PDF Extract AI
AI-powered PDF data extraction solution
3
Problem
Users manually extract data from PDFs or use basic tools, leading to time-consuming processes, high error rates, and inability to handle complex layouts.
Solution
A web-based AI tool for automated PDF data extraction, enabling users to convert unstructured PDF data into structured formats (e.g., tables, JSON) with high accuracy using machine learning.
Customers
Data analysts, researchers, legal professionals, accountants, and enterprises requiring bulk PDF processing.
Alternatives
View all PDF Extract AI alternatives →
Unique Features
Combines FastAPI for backend efficiency, React for intuitive UI, and ML models specialized in parsing tables, invoices, and multi-column layouts.
User Comments
Saves hours on data entry
Handles scanned PDFs effectively
Accurate table extraction
Easy API integration
Affordable pricing
Traction
Launched on ProductHunt with 180+ upvotes (as of demo date)
Open-source GitHub repository (sreejagatab/PDF-Extract-AI-demo)
Market Size
The global intelligent document processing market is projected to reach $5.6 billion by 2027 (MarketsandMarkets, 2023).