Data Reclaimer
Alternatives
0 PH launches analyzed!
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.
Alternatives
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).
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%)
LinkedIn Data Exporter
Free tool to scrape LinkedIn data for recruiters
1
Problem
Users manually collect and export LinkedIn profile data for recruitment, requiring time-consuming copy-pasting and data entry. manually collect and export LinkedIn profile data
Solution
A Chrome extension that lets users export LinkedIn profile data to CSV automatically, enabling one-click scraping of names, emails, phone numbers, experience, skills, etc.
Customers
Recruiters, HR teams, and founders sourcing candidates at scale, often needing bulk LinkedIn data extraction without manual effort.
Alternatives
View all LinkedIn Data Exporter alternatives →
Unique Features
Free, no login/payment required; Chrome extension for direct browser access; one-click CSV export with structured fields like email and skills.
User Comments
Saves hours on candidate sourcing
Easy to use with no setup
Free alternative to paid tools
Exports critical data fields instantly
No LinkedIn account required
Traction
Free Chrome extension listed on Product Hunt; specifics on users/revenue not disclosed in provided data.
Market Size
The global recruitment software market was valued at $2.8 billion in 2022, driven by demand for automated talent-sourcing tools.
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%.
Unipile LinkedIn API
Integrate LinkedIn into your App: Messaging, Outreach, Data
162
Problem
Developers and businesses struggle with integrating LinkedIn functionalities directly into their apps, facing issues such as managing outreach, messaging, and data enrichment. The integration of essential LinkedIn features like messaging, outreach, and data retrieval into third-party applications is complex and time-consuming.
Solution
Unipile LinkedIn API is a tool that allows developers to integrate LinkedIn functionalities into their applications. It enables features such as messaging, outreach, and data enrichment by allowing invitation requests, syncing inboxes, and automating data retrieval.
Customers
The primary users are software developers, businesses in sales and marketing, and tech firms looking to integrate LinkedIn functionalities into their products to enhance their social media presence and operational efficiency.
Alternatives
View all Unipile LinkedIn API alternatives →
Unique Features
The API offers integration across multiple core LinkedIn functionalities within one interface, including automated invitations, inbox syncing, and comprehensive data enrichment options which are not commonly found in similar APIs.
User Comments
Not applicable as there is no direct user feedback available.
Traction
Not applicable as there are no explicit details available regarding the version number, user count, or financial data.
Market Size
The global social media management market, closely linked to tools like the Unipile LinkedIn API, is expected to reach $41.6 billion by 2026.
LinkedIn Data API
Access LinkedIn data without worrying about blocks
6
Problem
Users face difficulties in accessing structured data from LinkedIn profiles, companies, and jobs due to restrictions and limitations imposed on data access.
These restrictions result in challenges for recruitment, sales, market research, and lead generation activities, limiting the effectiveness and efficiency of these processes.
Solution
API service offering structured data from LinkedIn profiles, companies, and jobs without account cookies requirement.
Users can access clean, well-documented API endpoints for recruitment, sales, market research, and lead generation purposes.
Customers
Recruiters, sales professionals, market researchers, lead generation specialists, HR professionals.
Specifically targeted at professionals requiring LinkedIn data for business purposes, like recruiters and sales teams.
Unique Features
Structured access to LinkedIn data without account cookies, well-documented API endpoints, cleanliness of data.
The solution offers streamlined and compliant access to LinkedIn data for recruitment, sales, and market research, enhancing efficiency and accuracy in data retrieval.
User Comments
Efficient data extraction from LinkedIn profiles and companies.
Valuable tool for recruitment and sales activities.
Clean API endpoints make integration easy for developers.
Saves time and effort in lead generation and market research.
Improved data quality compared to traditional methods.
Traction
Currently no specific data available on traction like MRR or number of users on ProductHunt.
The product seems to have garnered positive attention on ProductHunt based on user comments and interactions.
Market Size
Global recruitment and staffing market was valued at approximately $554 billion in 2020.
The market for recruitment and sales tools utilizing LinkedIn data is significant, indicating a large potential customer base for this product.
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.
MTN LINKEDIN ScraperX Api
The Future of LinkedIn Data: Real-Time, and 100% Accurate
6
Problem
Users rely on manual and inefficient methods to extract LinkedIn data, leading to time-consuming processes, inaccurate data, and GDPR compliance risks.
Solution
A LinkedIn data API tool enabling users to access 150+ endpoints for Sales Navigator, company insights, job postings, and AI-powered career/job trend predictions with GDPR compliance and verified email extraction.
Customers
Sales teams, recruiters, marketers, and data analysts seeking real-time LinkedIn data for lead generation, talent sourcing, and market research.
Unique Features
Real-time LinkedIn data scraping, AI-driven career predictions, GDPR compliance, and verified email delivery for lead generation.
User Comments
Simplifies LinkedIn data extraction
Accurate Sales Navigator integration
Essential for GDPR-compliant recruitment
AI job trend insights save time
Reliable email verification for leads
Traction
Product launched on ProductHunt with 150+ API endpoints, exact user/MRR data unavailable from provided info.
Market Size
The global web scraping market is valued at $3.5 billion (2023), driven by demand for competitive intelligence and lead generation tools.