With over 300 million monthly visitors and job listings spanning 60+ countries, Indeed is one of the most valuable sources of workforce data on the web. It reflects real hiring activity across industries, regions, and roles — from entry-level to executive.
Our Indeed scraper helps you extract this information at scale. Whether you're tracking hiring trends, sourcing leads, or mapping company activity, we provide structured datasets that turn public job listings into usable business insights.
You don’t need to build a scraper or rely on unstable tools. Our Indeed data scraper works as a fully managed service — you tell us what you need, and we deliver it clean and ready to use.
We extract and format job data based on your goals: by industry, location, job title, salary range, or company. The result? High-quality datasets delivered in CSV, Excel, JSON, or any other format that fits your workflow.
Our Indeed scraper captures key job listing data directly from public search results and job pages. This includes job titles, employer names, locations, salary information (if available), job descriptions, posting dates, company ratings, and application links. We also collect structured metadata like job type (full-time, remote, contract), industry tags, and experience level indicators where shown.
These details are essential for workforce analytics, HR benchmarking, lead generation, and market intelligence across regions and sectors.
In addition to standard job data, we can extract extended profile details such as the number of reviews and ratings for each company, employer-provided benefits, hiring urgency labels (e.g. “Urgently Hiring”), and links to company career pages. We also monitor listing engagement metrics — such as “X people applied” where visible — and gather job category tags for further segmentation.
Our Indeed scraper can be configured to collect the data you need to analyse trends, track hiring activity over time, or monitor changes in job descriptions for competitive insights.
Indeed is one of the world’s largest job platforms, serving over 60 countries and available in more than two dozen languages. Founded in 2004 and acquired by Japan’s Recruit Holdings, it lists millions of job openings from employers of all sizes — from local businesses to Fortune 500 companies.
The platform supports both organic and sponsored job listings and includes filters by salary, location, job type, and more. Users can create resumes, apply directly, and read company reviews. While the site is primarily in English, many localized domains (like indeed.de, indeed.fr, indeed.co.in) support native content, currencies, and market-specific features.
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Developers
Customers
Pages extracted
Hours saved for our clients
Customized scraping setup for Indeed — faster and cheaper than building a solution from scratch.
Data limits (rows): up to 10%
Iterations: up to 3
Custom requirements: Yes
Data lifetime: up-to-date
Data quality checks: Yes
Delivery deadline: 1-2 working days
Output formats: CSV, JSON, XLSX
Delivery options: e-mail
Scraping Indeed lets you work with job data at scale. You can collect thousands of listings, filter by role, region, or company, and build datasets that support recruiting, analytics, or sales — all without manual research.
Whether you’re in HR tech, analytics, or sales prospecting, using a strategy to scrape Indeed helps you move faster, spot hiring trends early, and stay ahead of the curve.
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Amazon provides valuable information gathered in one place: products, reviews, ratings, exclusive offers, news, etc. So scraping data from Amazon will help solve the problems of the time-consuming process of extracting data from e-commerce.
The use of sentiment analysis tools in business benefits not only companies but also their customers by allowing them to improve products and services, identify the strengths and weaknesses of competitors' products, and create targeted advertising.
ScrapeIt is a custom data extraction service that acts as your Indeed scraper — no code, no tools, no maintenance. We handle the full process: collecting, filtering, formatting, and delivering data based on your goals.
Whether you’re targeting tech companies in New York or warehouse jobs across Europe, we help you extract the right information from Indeed and other platforms. Just tell us what matters — and we’ll export it into structured files ready for your workflows.
Yes. We can extract job data filtered by industry, role, region, company, or keyword — fully tailored to your needs.
Absolutely. Our extractor captures everything visible in listings — including job descriptions, company names, posting dates, and other relevant metadata.
We collect data in near real-time, depending on your request — so you'll always be working with the latest available job listings.
Yes. We can track job activity from specific employers and show changes in listings, hiring volume, or job descriptions over time.
Yes, we handle parsing for various industries — including eCommerce, real estate, automotive platforms, and company directories. Wherever structured data is needed, we can extract and deliver it.
1. Make a request
You tell us which website(s) to scrape, what data to capture, how often to repeat etc.
2. Analysis
An expert analyzes the specs and proposes a lowest cost solution that fits your budget.
3. Work in progress
We configure, deploy and maintain jobs in our cloud to extract data with highest quality. Then we sample the data and send it to you for review.
4. You check the sample
If you are satisfied with the quality of the dataset sample, we finish the data collection and send you the final result.
Scrapeit Sp. z o.o.
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