Data Extraction

Data extraction is the process of retrieving specific data from various sources, such as databases, documents, and websites, and transforming it into a usable format for analysis or other business purposes. As startups increasingly rely on data-driven decision-making to drive growth and innovation, effective data extraction is crucial for unlocking insights and staying competitive in today's fast-paced business landscape.

Data Extraction

Related Stories

Webhound (yc S23) – Research Agent That Builds Datasets From the Web

LLM-Deflate: Extracting Llms Into Datasets

Extend (yc W23) – Turn Your Messiest Documents Into Data

Extrai – an Open-Source Tool to Fight LLM Randomness in Data Extraction

Serpapi Mcp Server

Docuglean – Extract Structured Data From Pdfs/images Using AI

Parallel Extract API

Discover JSON

Qleric – Extract Contract Terms and Redact Pii in Seconds

Scraping the Scraper Marketplace: Analyzing 7,525 Apify Actors

Challenges You Will Face When Parsing Pdfs with Python

A Chrome Extension to Export Structured Data From Any Website Using AI

PDF Hell: Why Is Extracting Data Still a Nightmare? (2024)

Misleading Pdf: Visual Content Differs From Extracted Text

Youtube Transcript Getter – Get Youtube Transcripts at Scale

I Built a Pipeline to Extract UK Visa Timelines From Reddit Comments

Turn Any Webpage Into Structured Data via LLM Codegen

Extradocai – Transform Your Documents Into Structured Data

Unplotter – Extract Data From Vector PDF Plots

Ytvidhub –bulk Youtube Subtitle Downloader for Research and Data Prep