Resume scraper
By
Turn resume files into structured rows for faster screening. Extract contact info, skills, experience, and education. Export a clean table for search and analysis.
Upload Resume Files
Paste Resume Text
Scrape hundreds of webpages in one click with the Thunderbit Chrome Extension. Prefer to hand this job to AI? Use the Thunderbit API or Thunderbit MCP. Want us to run it for you? Use our Web Scraping Service.
Extract Candidate Data from ResumesUse Thunderbit to scrape and extract structured data fast, with AI that formats and categorizes results for review. Export to Google Sheets, Airtable, or Notion in minutes.
Install fromChrome Web Store
Extract Candidate Data from Resumes
Thunderbit helps you collect and structure information quickly by scraping data from websites and subpages, plus PDFs, docs, and images. Extract key fields into a consistent table, then summarize, categorize, and format the results for faster review.
Export structured data to Google Sheets, Airtable, or Notion for collaboration and tracking. Use AI Suggest Fields to define columns in a click, then scrape at scale with pagination and subpage enrichment when your sources span multiple pages.
How to Extract Resume Data Using Thunderbit
STEP 1Download and InstallDownload and install the Thunderbit Chrome Extension from the Thunderbit Chrome Extension Download Page. Once installed, log in or create a free account to get started.
STEP 2Open ExtensionOpen the Thunderbit Chrome Extension, then open the Resume Scraper. Choose one input method: (1) In the "Upload Resume File(s)" tab, drag and drop one or many PDF or DOCX resumes into the "resume_files" uploader, or (2) In the "Paste Resume Text" tab, paste the full resume into "resume_text" and optionally add a "source_file_name" identifier. If you want the full resume content included in the output table, set "include_resume_text" to "yes"; otherwise leave it as "no".
STEP 3Click the Extract resume data ButtonClick the "Extract resume data" button to generate a structured table from each resume. Thunderbit will extract fields such as Full Name, Email, Phone, Location, LinkedIn URL, Portfolio URL, Skills (Normalized), Work Experience, Education, Certifications, Projects, and Source File Name, and it can also include Resume Text if you enabled that option. After the table is created, export the results to Excel, Google Sheets, Airtable, or Notion, or download as CSV or JSON for use in your screening and analysis workflow.
Learn how to extract structured candidate data from resumes
Extract key resume fields into a structured table
Resume Scraper turns unstructured resumes into a consistent table you can sort, filter, and review. Upload PDF or DOCX files, or paste resume text, and Thunderbit identifies core screening fields such as full name, email, phone, location, LinkedIn, portfolio links, skills, work experience, education, certifications, and projects. It is built for recruiters, HR teams, and hiring managers who need faster, more consistent intake.
Normalize skills and standardize experience for search and screening
Resumes vary in format, wording, and section order, which makes manual comparison slow and inconsistent. Resume Scraper extracts skills as a normalized list and captures work experience in a consistent structure, including company, title, dates, and highlights. This helps talent teams run cleaner keyword searches, compare candidates side by side, and reduce time spent reformatting resumes for internal reviews.
Batch process resumes for high-volume hiring workflows
When you are hiring at scale, Resume Scraper supports batch uploads so you can process many resumes in one run and get a single table back. Each row includes the source file name to keep candidates traceable, and you can optionally include the full resume text for auditing, downstream parsing, or internal search. This is useful for recruiting ops, staffing agencies, and teams managing multiple roles at once.
Export structured outputs to your preferred system for analysis
After extraction, you can export the table to Excel, Google Sheets, Airtable, or Notion, or download it as CSV or JSON. This makes it easy to build shortlists, create screening dashboards, share candidate pipelines with stakeholders, and run basic analysis on skills coverage, seniority, or education. The standardized columns also support cleaner handoffs into ATS or CRM processes.
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What users say about Thunderbit
Taryn W.Growth Strategist@Thunderbit changed how I run competitor research. I click 'AI Suggest Fields,' and it builds a clean table across paginated results—no coding, no CSS. Huge time-saver when analyzing product data from long-tail marketplaces.
Miles T.Sales Development ConsultantI use Thunderbit to grab emails and phone numbers from directories. It extracts clean contact info in one click, and exporting to Sheets or Notion takes seconds. No extra setup, no coding—just usable data ready to work with.
Rhea C.E-commerce AnalystThunderbit helps me monitor SKU data across multiple pages. I scrape the listings, then use Subpage Scraping to pull full product specs, pricing, reviews, and stock. The AI organizes everything into columns I define.
Cassian B.Real Estate AdvisorThunderbit's Scheduled Scraper makes real estate tracking easier. I describe the interval in plain English, and it automatically pulls updated listings, prices, and links without touching the setup again. Simple and very practical.
Dorian B.Content & SEO SpecialistI use Thunderbit's Field AI Prompts to clean and tag scraped blog content. It extracts titles, authors, and even suggests categories. Works great across dynamic sites and subpages—perfect for building structured SEO datasets.
Lina K.Marketplace Operations LeadWe track SKUs from niche stores using Thunderbit. Cloud Scraping handles 50 pages at a time, and for login-required sites, we switch to browser mode. It’s fast, flexible, and doesn’t need ongoing maintenance or manual edits.
Jorge F.Inbound Sales ManagerThunderbit’s AI Autofill is a lifesaver. After scraping contact info, I use it to fill lead forms directly in my browser. I just select the tab, and it fills everything using the scraped row. No manual input needed.
Alina D.Freelance ResearcherI rely on Thunderbit for extracting data from PDFs, image-based sites, and infinite scroll pages. It handles messy formats with AI and delivers ready-to-export tables I can send to Google Sheets or Airtable in seconds.
Taryn W.Growth Strategist@Thunderbit changed how I run competitor research. I click 'AI Suggest Fields,' and it builds a clean table across paginated results—no coding, no CSS. Huge time-saver when analyzing product data from long-tail marketplaces.
Miles T.Sales Development ConsultantI use Thunderbit to grab emails and phone numbers from directories. It extracts clean contact info in one click, and exporting to Sheets or Notion takes seconds. No extra setup, no coding—just usable data ready to work with.
Rhea C.E-commerce AnalystThunderbit helps me monitor SKU data across multiple pages. I scrape the listings, then use Subpage Scraping to pull full product specs, pricing, reviews, and stock. The AI organizes everything into columns I define.
Cassian B.Real Estate AdvisorThunderbit's Scheduled Scraper makes real estate tracking easier. I describe the interval in plain English, and it automatically pulls updated listings, prices, and links without touching the setup again. Simple and very practical.
Dorian B.Content & SEO SpecialistI use Thunderbit's Field AI Prompts to clean and tag scraped blog content. It extracts titles, authors, and even suggests categories. Works great across dynamic sites and subpages—perfect for building structured SEO datasets.
Lina K.Marketplace Operations LeadWe track SKUs from niche stores using Thunderbit. Cloud Scraping handles 50 pages at a time, and for login-required sites, we switch to browser mode. It’s fast, flexible, and doesn’t need ongoing maintenance or manual edits.
Jorge F.Inbound Sales ManagerThunderbit’s AI Autofill is a lifesaver. After scraping contact info, I use it to fill lead forms directly in my browser. I just select the tab, and it fills everything using the scraped row. No manual input needed.
Alina D.Freelance ResearcherI rely on Thunderbit for extracting data from PDFs, image-based sites, and infinite scroll pages. It handles messy formats with AI and delivers ready-to-export tables I can send to Google Sheets or Airtable in seconds.
