Indeed Jobs Data Extractor
Indeed Jobs Data Extractor
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Extract company names, job titles, posting URLs, locations, and job types from any Indeed job listing page. Save time collecting structured job data for analysis or outreach.
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Extract Job Listings from Indeed FastUse Thunderbit to collect job data from Indeed in just a few clicks—no manual copy-paste required.
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Extract Job Listings from Indeed Fast
Thunderbit lets you extract structured job information from Indeed, including company names, job titles, locations, and more. Just provide the job listing URL and get a clean table ready for export—no coding or setup needed.
With support for subpage scraping, Thunderbit can visit each job posting for deeper details. Export your results to Google Sheets, Airtable, or Notion for easy analysis and team collaboration.
How to Extract Job 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 ExtensionNavigate to the Indeed job listing page you want to extract data from. Open the Thunderbit Chrome Extension and select the 'Indeed Jobs Data Extractor' tool. Paste the URL of the Indeed job listing page into the provided field.
STEP 3Click the Extract Job Data ButtonClick the 'Extract Job Data' button. Thunderbit will process the page and extract company name, job title, job posting URL, job location, and job type into a table. You can then export the results to Excel, Google Sheets, Airtable, Notion, or download them as a CSV or JSON file.
Learn how to extract job listings from Indeed in seconds
Extract Job Data from Indeed
The Indeed Jobs Data Extractor allows you to pull structured job information directly from any Indeed job listing page. By simply entering the URL, you can collect company names, job titles, posting URLs, locations, and job types in a single table. This tool is ideal for recruiters, HR professionals, and job market researchers who need to gather and organize job data without manual copy-pasting.
Automate Job Market Research
With this tool, you can automate the process of collecting job postings for analysis or reporting. Instead of spending hours browsing and recording job details, the extractor compiles all relevant information for you. This increases accuracy and ensures you never miss key data points, making it easier to track hiring trends, monitor competitors, or build comprehensive job databases.
Export and Organize Job Data Effortlessly
Once the job data is extracted, you can export it to Excel, Google Sheets, Airtable, or Notion. The output is formatted in a clean table, ready for further analysis or integration into your workflow. This makes it simple to create reports, share findings with your team, or import the data into your recruitment or HR systems for immediate use.
Support Recruitment and Lead Generation
Use the extracted job data to identify hiring companies, discover new business opportunities, or build targeted outreach lists. Sales and recruitment teams can leverage this information to connect with potential clients or candidates. By having up-to-date job market data at your fingertips, you can make informed decisions and respond quickly to new opportunities.
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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.
Frequently Asked Questions
Extract Data using AI
Easily transfer data to Google Sheets, Airtable, or Notion
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