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The web scraping software market size was valued at USD 703.56 million in 2024 and is likely to cross USD 3.52 billion by 2037, expanding at more than 13.2% CAGR during the forecast period i.e., between 2025-2037. North America industry is estimated to account for largest revenue share of 45% by 2037, due to growing concerns about data security in this region.
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The commercial centre is anticipated to arrive at USD 886.03 Million in 2025 and is required to develop to USD 4369.4 Million by 2035, recording a CAGR of 17.3% over the figure time frame.
Metric | Value |
---|---|
Market Size (2025E) | USD 886.03 Million |
Market Value (2035F) | USD 4369.4 Million |
CAGR (2025 to 2035) | 17.3% |
Country-wise Insights
Country | CAGR (2025 to 2035) |
---|---|
USA | 24.5% |
Country | CAGR (2025 to 2035) |
---|---|
UK | 23.8% |
Country | CAGR (2025 to 2035) |
---|---|
European Union (EU) | 24.0% |
Country | CAGR (2025 to 2035) |
---|---|
Japan | 24.3% |
Country | CAGR (2025 to 2035) |
---|---|
South Korea | 24.6% |
Competitive Outlook
Company Name | Estimated Market Share (%) |
---|---|
Bright Data (formerly Luminati) | 15-20% |
ScrapeHero | 12-16% |
Apify | 10-14% |
Oxylabs | 8-12% |
DataDome | 6-10% |
Other Companies (combined) | 35-45% |
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The Web Scraping Market is Segmented by Solution (Software, Services), Deployment Type (Cloud, On-Premise), End-User Industry (BFSI, Retail and E-Commerce, Real Estate, Manufacturing, Government, Healthcare, Advertising and Media, and More), Use Case (Data Scaping / ETL, Price and Competitive Monitoring, and More), and Geography.
PredictLeads Job Openings Data provides high-quality hiring insights sourced directly from company websites - not job boards. Using advanced web scraping technology, our dataset offers real-time access to job trends, salaries, and skills demand, making it a valuable resource for B2B sales, recruiting, investment analysis, and competitive intelligence.
Key Features:
✅232M+ Job Postings Tracked – Data sourced from 92 Million company websites worldwide. ✅7,1M+ Active Job Openings – Updated in real-time to reflect hiring demand. ✅Salary & Compensation Insights – Extract salary ranges, contract types, and job seniority levels. ✅Technology & Skill Tracking – Identify emerging tech trends and industry demands. ✅Company Data Enrichment – Link job postings to employer domains, firmographics, and growth signals. ✅Web Scraping Precision – Directly sourced from employer websites for unmatched accuracy.
Primary Attributes:
Job Metadata:
Salary Data (salary_data)
Occupational Data (onet_data) (object, nullable)
Additional Attributes:
📌 Trusted by enterprises, recruiters, and investors for high-precision job market insights.
PredictLeads Dataset: https://docs.predictleads.com/v3/guide/job_openings_dataset
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The web scraping tools market is experiencing robust growth, projected to reach $2831.7 million in 2025 and exhibiting a Compound Annual Growth Rate (CAGR) of 14.4% from 2025 to 2033. This expansion is fueled by the increasing reliance on data-driven decision-making across diverse sectors. The surge in e-commerce, coupled with the growing need for real-time market intelligence and competitive analysis in advertising and media, finance, and other industries, significantly contributes to this market's rapid growth. Cloud-based solutions are leading the segmental growth due to their scalability, accessibility, and cost-effectiveness compared to on-premises solutions. While the retail and e-commerce sectors currently dominate application-wise, the expanding use of web scraping in financial analysis and advertising campaign optimization is expected to drive significant future growth across these segments. Challenges remain, however, including legal and ethical considerations surrounding data scraping, as well as the ongoing need for tools that effectively navigate increasingly sophisticated website anti-scraping measures. The market is characterized by a diverse range of players, from established software companies to specialized API providers, reflecting the increasing demand and sophistication of web scraping technologies. The geographical distribution of this market shows strong presence in North America and Europe, fueled by early adoption and robust technological infrastructure. However, rapid growth is anticipated in the Asia-Pacific region, particularly in countries like China and India, driven by burgeoning e-commerce markets and increasing digitalization across various industries. The competitive landscape is dynamic, with companies continually innovating to improve data extraction capabilities, enhance data processing speed, and offer advanced features like proxy rotation and data cleaning to mitigate risks and maximize efficiency. The ongoing development of advanced techniques to bypass website restrictions, coupled with the expanding applications of web scraping in areas such as sentiment analysis and market research, will continue to propel the market's growth trajectory throughout the forecast period.
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The Web Scraping Software Market is estimated to be valued at USD 501.9 million in 2025 and is projected to reach USD 2030.4 million by 2035, registering a compound annual growth rate (CAGR) of 15.0% over the forecast period.
Metric | Value |
---|---|
Web Scraping Software Market Estimated Value in (2025 E) | USD 501.9 million |
Web Scraping Software Market Forecast Value in (2035 F) | USD 2030.4 million |
Forecast CAGR (2025 to 2035) | 15.0% |
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Web Scraper Software Market size was valued at USD 568.2 Million in 2024 and is projected to reach USD 1628.6 Million by 2032, growing at a CAGR of 14.1% from 2026 to 2032.Growing Demand for Data Driven Decision Making: The bedrock of the Web Scraper Software Market's growth is the escalating global demand for data driven decision making. Companies across industries, from startups to multinational corporations, are increasingly relying on vast volumes of meticulously collected and analyzed data to sculpt their strategic blueprints, optimize pricing models, enhance customer experiences, identify lucrative market entry points, and refine product development cycles.Expansion of E commerce and Digital Services: The relentless expansion of e commerce and digital services stands as a formidable catalyst for the Web Scraper Software Market. In a fiercely competitive online retail environment, granular competitive intelligence, dynamic price monitoring, accurate inventory tracking.
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Web Scraping Services Market is segmented By Type (Browser Extension, Installable Software, and Cloud Based) and Application (Data Aggregation, Customer Insight, and Others)
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The global web scraping tools market is projected to reach a value of USD 9713 million by 2033, expanding at a CAGR of 14.6% from 2025 to 2033. The surging demand for data-driven insights in various industries, such as retail and e-commerce, advertising and media, and finance, is primarily fueling market growth. Moreover, the increasing adoption of cloud-based web scraping tools and the emergence of advanced artificial intelligence (AI) and machine learning (ML) technologies are further driving market expansion. Key drivers of market growth include the increasing need for data extraction and analysis for business intelligence, the growing adoption of cloud-based solutions, the rising demand for web scraping services in e-commerce and other industries, and the growing popularity of AI and ML technologies. Restraints to market growth include the potential for data privacy and security concerns, the lack of skilled web scraping professionals, and the increasing complexity of web pages. The market is segmented into various types, including cloud-based and on-premises, and applications, including retail and e-commerce, advertising and media, finance, and others. Prominent players in the market include Octoparse, Scrapy, Watir, Apache Nutch, Bright Data, Apify, Zenscrape API, Scrape Owl, Dexi Intelligent, and GSA Proxy Scraper.
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Global Web Scraping Services market size 2025 was XX Million. Web Scraping Services Industry compound annual growth rate (CAGR) will be XX% from 2025 till 2033.
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By [source]
This dataset collects job offers from web scraping which are filtered according to specific keywords, locations and times. This data gives users rich and precise search capabilities to uncover the best working solution for them. With the information collected, users can explore options that match with their personal situation, skillset and preferences in terms of location and schedule. The columns provide detailed information around job titles, employer names, locations, time frames as well as other necessary parameters so you can make a smart choice for your next career opportunity
For more datasets, click here.
- 🚨 Your notebook can be here! 🚨!
This dataset is a great resource for those looking to find an optimal work solution based on keywords, location and time parameters. With this information, users can quickly and easily search through job offers that best fit their needs. Here are some tips on how to use this dataset to its fullest potential:
Start by identifying what type of job offer you want to find. The keyword column will help you narrow down your search by allowing you to search for job postings that contain the word or phrase you are looking for.
Next, consider where the job is located – the Location column tells you where in the world each posting is from so make sure it’s somewhere that suits your needs!
Finally, consider when the position is available – look at the Time frame column which gives an indication of when each posting was made as well as if it’s a full-time/ part-time role or even if it’s a casual/temporary position from day one so make sure it meets your requirements first before applying!
Additionally, if details such as hours per week or further schedule information are important criteria then there is also info provided under Horari and Temps Oferta columns too! Now that all three criteria have been ticked off - key words, location and time frame - then take a look at Empresa (Company Name) and Nom_Oferta (Post Name) columns too in order to get an idea of who will be employing you should you land the gig!
All these pieces of data put together should give any motivated individual all they need in order to seek out an optimal work solution - keep hunting good luck!
- Machine learning can be used to groups job offers in order to facilitate the identification of similarities and differences between them. This could allow users to specifically target their search for a work solution.
- The data can be used to compare job offerings across different areas or types of jobs, enabling users to make better informed decisions in terms of their career options and goals.
- It may also provide an insight into the local job market, enabling companies and employers to identify where there is potential for new opportunities or possible trends that simply may have previously gone unnoticed
If you use this dataset in your research, please credit the original authors. Data Source
License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.
File: web_scraping_information_offers.csv | Column name | Description | |:-----------------|:------------------------------------| | Nom_Oferta | Name of the job offer. (String) | | Empresa | Company offering the job. (String) | | Ubicació | Location of the job offer. (String) | | Temps_Oferta | Time of the job offer. (String) | | Horari | Schedule of the job offer. (String) |
If you use this dataset in your research, please credit the original authors. If you use this dataset in your research, please credit .
Our web data scraping/web crawling service helps you turn the web data into actionable insights in the most efficient and affordable manner possible. We ensure that our web scraping process is scalable, secured, and allows us to deploy client projects through a rapid turnaround time. From requirement gathering from clients, analyzing feasibility and data mining to structured reporting, we follow a standard procedure that helps us deliver the best quality service outcome and support for our client's projects.
B2B EMAIL DATABASES - being one of the best data extraction companies has a team of best-in-class and super experienced web scraping, professionals. They dedicatedly work to satisfy your needs in a quick turnaround time. That’s why, you are able to be certain that you will get precious quality website data scraping, data processing, and web data scraper applications when you outsource your business to us. Our experienced and talented experts concentrate more on the high quality, accuracy, and security of the data. We also agree to furnish for a variety of web data scraping projects of any type or nature.
Why Choose Us For Web Scraping? Being the 1 web scraping agency, we always believe in providing high-quality services to our clients. Our solutions come with the integration of advanced technology and scalability that work perfectly for complex data scraping and data extraction tasks. Our scraping tools have extraordinary features and flexibility which helps for almost every type of web scraping. We are one of the leading web scraping services providers in the world. B2B Email Databases extract hundreds of thousands of data every month based on the clients’ needs..
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The global web scraping tools market size was valued at approximately USD 1.2 billion in 2023 and is projected to reach around USD 3.8 billion by 2032, growing at a compound annual growth rate (CAGR) of 14.5% during the forecast period. The growing demand for web scraping tools is primarily driven by the increasing need for data extraction and analysis across various industries. These tools have become essential in gathering competitive intelligence, monitoring prices, conducting market research, and generating leads, which are critical activities for businesses looking to maintain a competitive edge in a data-driven world.
One of the primary growth factors for the web scraping tools market is the exponential increase in data generation on the internet. With the proliferation of e-commerce, social media, and other online platforms, businesses need to collect vast amounts of data to analyze consumer behavior, market trends, and competitor strategies. Web scraping tools enable automated data extraction from various online sources, providing businesses with valuable insights that can inform decision-making and strategic planning. Moreover, advancements in machine learning and artificial intelligence have enhanced the capabilities of these tools, making them more efficient and accurate in extracting relevant data.
Another significant growth driver is the rising adoption of web scraping tools by small and medium enterprises (SMEs). These enterprises often lack the resources to conduct extensive market research or data analysis in-house. Web scraping tools offer a cost-effective solution for SMEs to gather critical business intelligence without substantial investment in manual data collection. Furthermore, the availability of cloud-based web scraping solutions has made these tools more accessible to SMEs, enabling them to leverage scalable and flexible data extraction capabilities without the need for significant infrastructure or technical expertise.
The increasing application of web scraping tools across various industry verticals is also contributing to market growth. Industries such as retail and e-commerce, banking, financial services, and insurance (BFSI), healthcare, media and entertainment, and information technology and telecommunications are leveraging these tools for various purposes. For instance, in the retail sector, web scraping tools are used for price monitoring and competitive analysis, while in the BFSI sector, they assist in fraud detection and risk management. The growing demand for these applications is expected to drive the adoption of web scraping tools across different industries.
Data Extraction Software plays a pivotal role in the web scraping ecosystem, providing the backbone for efficient data collection processes. These software solutions are designed to handle vast amounts of data from diverse online sources, ensuring that businesses can access the information they need for strategic decision-making. With the increasing complexity of data available on the internet, Data Extraction Software has evolved to include advanced features such as machine learning algorithms and artificial intelligence capabilities. These enhancements allow for more precise and accurate data extraction, enabling businesses to gain deeper insights into market trends and consumer behavior. As industries continue to rely on data-driven strategies, the demand for robust Data Extraction Software is expected to grow, further fueling the expansion of the web scraping tools market.
From a regional perspective, North America holds the largest market share for web scraping tools, driven by the high adoption of advanced technologies and a strong presence of key market players. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period, attributed to the rapid digital transformation and increasing internet penetration in countries like China and India. The growing number of start-ups and SMEs in the region is also contributing to the rising demand for web scraping tools. Europe and Latin America are also experiencing steady growth, driven by the increasing focus on data-driven decision-making and business intelligence.
The web scraping tools market can be segmented by type into browser extensions, standalone software, cloud-based so
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Global Web Scraper Software Market size was $346.7 million in 2023 and is grow to $1,229.20 million by 2032 a CAGR of 15.10% between 2024 and 2032.
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Global Web Scraping Software Market was valued at USD 816.93 million in 2023 and is anticipated to project robust growth in the forecast period with a CAGR of 14.77% through 2029.
Pages | 186 |
Market Size | 2023: USD 816.93 Million |
Forecast Market Size | 2029: USD 1883.85 Million |
CAGR | 2024-2029: 14.77% |
Fastest Growing Segment | On-Premises |
Largest Market | North America |
Key Players | 1. Octopus Data Inc. 2. Web Spiders Group 3. Mozenda, Inc. 4. Zyte Group Limited 5. Ficstar Software Inc 6. QL2 Software, LLC 7. Diggernaut, LLC 8. UiPath Inc. 9. Diffbot Technologies Corp. 10. Hashwave Technologies Inc |
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The global web scraping software and platform market reached a valuation of USD XXX million in 2022 and is estimated to expand at a CAGR of XX% during the forecast period of 2023-2030. The rising need for data-driven decision-making, the proliferation of e-commerce, and the growing adoption of big data analytics are key factors fueling market growth. Furthermore, advancements in artificial intelligence (AI) and machine learning (ML) are enabling the development of more efficient and accurate web scraping tools. Segmentation-wise, the enterprise segment is expected to hold a dominant share of the market due to the increasing adoption of data-driven strategies by businesses to gain insights into customer behavior, market trends, and competitive landscapes. Geographically, North America is projected to remain the largest market due to the presence of leading tech companies and mature data analytics infrastructure. Asia-Pacific is anticipated to exhibit the fastest growth rate owing to the rapidly expanding e-commerce sector and government initiatives promoting digitalization. Key players in the market include Apify, Webz.io, Sequentum, Fminer, ParseHub, Scrapestack, import.io, Scrape Owl, Outwit, Bright Data, Agenty, Dexi smart, Data Streamer, Scrapingbee, Scrapy, Scraper API, Octopus Data, Prowebscraper, Mozenda, Diffbot, ScrapeHero, Data Scraper, and Visual Web Ripper.
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The global web scraping services market size is expected to reach $2.5 billion by 2023 and is projected to grow at a CAGR of 25.5% from 2024 to 2032, reaching an estimated $23.8 billion by 2032. The significant growth of the web scraping services market can be attributed to the increasing demand for automated data collection and processing across various industries. Businesses are increasingly leveraging web scraping services to gather valuable insights, optimize operations, and enhance decision-making processes, driving the market forward.
Several factors are contributing to the robust growth of the web scraping services market. One primary driver is the exponential increase in the volume of data generated online. As the internet becomes more data-rich, businesses seek efficient ways to extract and utilize this information, making web scraping services indispensable. Additionally, the growing adoption of big data analytics and artificial intelligence technologies necessitates extensive data collection, further propelling the demand for web scraping solutions. Companies are looking to gain a competitive edge by utilizing these technologies to analyze customer behavior, market trends, and competitor activities.
Another key growth factor is the expanding application of web scraping services across diverse industries. For instance, in the retail and e-commerce sector, companies use web scraping to monitor competitor pricing, product availability, and customer reviews, enabling them to adjust their strategies accordingly. In the finance sector, web scraping is utilized to gather financial data, news, and market sentiment analysis, aiding in better investment decisions. The healthcare industry leverages web scraping to collect data on medical research, patient feedback, and drug pricing, driving advancements in medical research and patient care.
The increasing preference for cloud-based solutions is also fueling the growth of the web scraping services market. Cloud-based web scraping services offer scalable and cost-effective solutions, allowing businesses of all sizes to access and process large datasets without the need for significant infrastructure investment. This trend is particularly beneficial for small and medium enterprises (SMEs) that may have limited resources. Furthermore, the integration of web scraping services with advanced analytics and machine learning algorithms enhances the value derived from the collected data, making these services more attractive to businesses.
In the realm of data collection, the concept of Yard Scrapers has emerged as a novel approach to efficiently manage and organize large datasets. Yard Scrapers are specialized tools designed to sift through extensive volumes of data, much like their web scraping counterparts, but with a focus on structured environments such as databases or data warehouses. These tools are particularly beneficial for industries that require meticulous data management, ensuring that the data is not only collected but also categorized and stored in an accessible manner. By employing Yard Scrapers, businesses can streamline their data handling processes, reducing the time and resources needed to manage large datasets, and ultimately enhancing their ability to make informed decisions based on comprehensive data insights.
Regionally, North America holds the largest market share in the web scraping services market, driven by the presence of numerous tech-savvy businesses and advanced IT infrastructure. The Asia Pacific region is expected to witness the highest growth rate during the forecast period, attributed to the rapid digital transformation and increasing adoption of data-driven decision-making processes in emerging economies such as China and India. Europe is also a significant market, with growing awareness of the benefits of web scraping services among businesses.
Web scraping services can be categorized into several types, including data extraction, data integration, data analysis, and others. Data extraction services involve the automated collection of data from various web sources, such as websites, social media platforms, and online databases. This type of service is highly sought after by businesses looking to gather large volumes of data quickly and efficiently. Data extraction is crucial for applications such as competitive analysis, market research, and lead generation. The demand for data extraction services is expected to grow s
Discover the ultimate web scraping tool of 2024 for unlocking valuable insights. Effortlessly extract web data for ecommerce, real estate, and beyond. Harness the power of web scraping to drive informed decision-making and gain a competitive edge.
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The web screen scraping tools market, valued at $2831.7 million in 2025, is projected to experience robust growth, driven by the escalating demand for real-time data across diverse sectors. The market's Compound Annual Growth Rate (CAGR) of 4.6% from 2025 to 2033 indicates a steady expansion, fueled primarily by the increasing adoption of data-driven decision-making in e-commerce, investment analysis, and the burgeoning cryptocurrency industry. The "Pay-to-Use" segment currently dominates, reflecting businesses' preference for reliable, feature-rich solutions. However, the "Free-to-Use" segment shows promising growth potential, particularly among smaller businesses and individual developers seeking cost-effective data extraction solutions. Geographic growth is expected to be broad, with North America and Europe maintaining significant market share, while the Asia-Pacific region presents considerable untapped potential due to increasing digitalization and e-commerce adoption. Competitive pressures amongst established players like Import.io, Scrapinghub, and Apify are driving innovation and improvements in ease-of-use, data accuracy, and scalability. The market faces challenges related to legal and ethical concerns surrounding data scraping, as well as the ongoing evolution of website structures that can render scraping tools ineffective, necessitating constant updates and adaptations. The sustained growth trajectory of the web screen scraping tools market is anticipated to continue due to several factors. Firstly, the increasing complexity of data management across various sectors necessitates efficient data acquisition tools. Secondly, the expansion of e-commerce and the growth of the global digital economy fuels demand for accurate, up-to-date product information and market intelligence. Thirdly, the rise of big data analytics and the associated need for large datasets will continue to propel the adoption of web screen scraping solutions. The evolving regulatory landscape regarding data scraping will necessitate solutions that emphasize ethical and compliant data acquisition practices. This will drive innovation within the industry towards more responsible and robust web scraping tools that cater to the needs of businesses while respecting data privacy and copyright regulations. This will also favor the development of specialized tools optimized for specific sectors such as finance and e-commerce, rather than universal solutions.
Website Contacts Scraper API scrapes B2B contact data from company websites in real-time - emails, phone numbers, and social profile links (LinkedIn, Facebook, Instagram, Twitter, YouTube, and more) via a fast and reliable API.
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The web scraping software market size was valued at USD 703.56 million in 2024 and is likely to cross USD 3.52 billion by 2037, expanding at more than 13.2% CAGR during the forecast period i.e., between 2025-2037. North America industry is estimated to account for largest revenue share of 45% by 2037, due to growing concerns about data security in this region.