Best Web Scraping APIs

Web Scraping APIs Guide

Web scraping APIs are tools designed to help users extract data from websites without needing to manually browse or interact with the site. They work by automatically fetching the web page's HTML content and parsing it to retrieve specific pieces of information. These APIs often allow users to specify which data they want, such as headlines, prices, or product listings, and the API will return that data in a structured format like JSON or CSV. This makes the process of web scraping much faster, more efficient, and scalable compared to traditional methods.

These APIs are particularly useful for businesses and developers who need to collect large amounts of data from websites regularly. For example, companies might use web scraping APIs to monitor prices across competitors' websites, gather product reviews, or track social media mentions. With the ability to automate data extraction, businesses can stay up-to-date with real-time information that is crucial for decision-making. Additionally, these APIs usually come with features like IP rotation, CAPTCHA solving, and proxy management, which help bypass anti-scraping measures often implemented by websites.

Despite their usefulness, web scraping APIs can raise ethical and legal concerns. Some websites have terms of service that prohibit automated data extraction, and scraping data without permission can potentially lead to legal repercussions. As a result, it's important for users to understand and comply with the legalities of web scraping in their region or industry. Additionally, web scraping should be done responsibly to avoid overloading a website's server or disrupting its regular operations, which can lead to negative consequences for both the scraper and the website being scraped.

What Features Do Web Scraping APIs Provide?

• Data Extraction: Web scraping APIs allow users to extract specific data from websites by targeting elements such as text, images, tables, links, or any other content on a webpage. These APIs enable automated extraction of data without requiring manual effort.
• HTML Parsing: These APIs parse the HTML structure of web pages to identify and extract relevant content. They can parse complex HTML documents, including nested elements, ensuring that no important data is missed.
• Dynamic Content Handling: Many modern websites rely on JavaScript to load content dynamically. Web scraping APIs are often equipped with the ability to handle JavaScript rendering, allowing users to scrape content from websites that load data asynchronously (e.g., through AJAX calls or JavaScript frameworks).
• Proxy Management: Web scraping APIs often provide proxy rotation and management features to ensure that scraping operations are not blocked by the target website. By rotating IP addresses or using proxies, these APIs help avoid rate-limiting or bans imposed by websites.
• Captcha Solving: Some web scraping APIs offer built-in captcha-solving capabilities. Captchas are commonly used to prevent bots from scraping a website, but these APIs can bypass captchas by solving them automatically, allowing the scraping process to continue uninterrupted.
• Request Scheduling: APIs often come with features that allow users to schedule their web scraping tasks at specific times or intervals. This is particularly useful when you need to scrape data periodically (e.g., every hour or once a day).
• Data Storage and Export: Many scraping APIs offer built-in options to store and export scraped data in various formats, such as JSON, CSV, XML, or even direct database integration. This makes it easy to analyze the data later or feed it into another application.
• Data Normalization: APIs sometimes offer features that help clean and normalize the scraped data, ensuring consistency in structure and format. This includes tasks like removing duplicate data, standardizing units, and parsing dates into a uniform format.
• Error Handling and Logging: A good web scraping API will include robust error handling and logging features. If something goes wrong, these APIs can provide detailed logs to help troubleshoot the issue. They also often come with automatic retries for failed requests, which ensures continuous scraping.
• Rate Limiting: To avoid overwhelming websites with too many requests in a short time, web scraping APIs often include rate-limiting features. These features ensure that scraping occurs at a pace that is both efficient and compliant with the website’s terms of service.
• Advanced CSS Selectors: Web scraping APIs offer the ability to use advanced CSS selectors to pinpoint and extract specific elements from a webpage. This gives users the flexibility to scrape only the necessary data from complex web structures.
• Authentication and Cookies Management: Some websites require users to log in to access certain data. Web scraping APIs provide features that allow users to handle authentication via cookies, session tokens, or login forms to access restricted data.
• HTML Rendering and Screenshot Generation: Some APIs allow you to generate screenshots of the entire webpage or render the HTML into a visual representation. This is helpful for visual inspection of the scraped data or for archival purposes.
• Geolocation and Localization: Certain APIs allow geolocation-based scraping, meaning they can target websites as if they were located in a specific country or region. This is useful for scraping location-specific content, such as local pricing or regional offers.
• Scalability: Many web scraping APIs are designed to scale according to the user’s needs. Whether scraping a small number of pages or an entire website, these APIs can handle increased workloads without compromising performance.
• Browser Emulation: Web scraping APIs often include browser emulation capabilities, where they simulate a real user’s browsing session. This allows them to mimic human behavior (like clicking buttons, filling out forms, or scrolling) and retrieve data that might otherwise be hidden.
• API Integration: Many web scraping APIs come with easy-to-use RESTful API endpoints that allow seamless integration with other systems. Users can programmatically request data from the API, making it ideal for use in automated workflows or applications.
• User-Agent Customization: Web scraping APIs enable users to set custom user-agent headers, mimicking different browsers or devices. This can help bypass detection mechanisms that block bots or identify scraping attempts based on the user-agent.

Types of Web Scraping APIs

• Static Web Scraping APIs: Designed for extracting data from websites with fixed content that doesn't change frequently. The structure of the data remains consistent over time.
• Dynamic Web Scraping APIs: These are used for websites that rely on JavaScript or AJAX to load content dynamically after the initial page load. These APIs can render JavaScript content or interact with the page as a browser would, allowing the extraction of data that isn't available in the static HTML.
• Headless Browser Scraping APIs: These APIs utilize a headless browser to load and interact with websites in the same way a user would, but without the graphical interface. A headless browser allows the extraction of content from complex, interactive websites.
• Cloud-based Scraping APIs: Hosted APIs that scale easily and don't require you to manage infrastructure. These services handle all aspects of web scraping, from data extraction to data storage.
• Data Extraction APIs: These are more specialized APIs that focus on pulling structured data from specific types of sources. They often target particular categories of websites, such as job boards, ecommerce sites, news outlets, or social media platforms.
• Real-time Web Scraping APIs: Focused on extracting data as it becomes available on the website, often within seconds or minutes of it being posted. These are used in scenarios where fresh, up-to-date data is critical, such as financial markets, sports scores, or live events.
• Anti-blocking and IP Rotation APIs: These specialized APIs are used to prevent websites from blocking your scraping requests. They rotate IP addresses automatically, making requests from different locations and devices to mimic human behavior.
• Scraping APIs with CAPTCHA Solving: These APIs include built-in features to handle CAPTCHA challenges, which are common on websites to prevent automated scraping. They employ various techniques to bypass or solve CAPTCHA challenges, such as image recognition, machine learning, or third-party services that solve CAPTCHAs.
• Proxy Management APIs: These APIs are specifically focused on managing proxies to mask your scraping activity. Proxy management can involve rotating between different IPs, selecting proxies based on geographic location, or managing different types of proxy (e.g., residential, datacenter).
• Scheduled Web Scraping APIs: Designed for users who need to scrape websites on a regular, scheduled basis. They provide the ability to automate scraping tasks at specific intervals (e.g., hourly, daily, weekly).
• Content Extraction and Transformation APIs: These APIs focus on transforming the scraped data into a format that’s easier to process and analyze. After extracting data, they can clean, normalize, or convert the raw content into structured formats, such as JSON, XML, CSV, or databases.
• Social Media Scraping APIs: Tailored for scraping content from social media platforms, such as posts, comments, likes, followers, and hashtags. These APIs often bypass some of the platform's rate limits and restrictions to gather publicly available data.

What Are the Advantages Provided by Web Scraping APIs?

• Automation of Data Extraction: Web scraping APIs allow the automatic extraction of data from websites without the need for manual intervention. This means that the data collection process can be scheduled and performed continuously without requiring human input. It significantly saves time and effort, allowing businesses to focus on analysis and decision-making rather than spending time manually gathering data.
• Access to Real-Time Data: With web scraping APIs, it’s possible to extract data in real-time from multiple websites. This provides businesses with up-to-date information that is crucial for decisions such as market analysis, price tracking, and competitor analysis. Real-time data can help companies adjust quickly to trends and opportunities.
• Scalability: Web scraping APIs are often designed to handle large volumes of data extraction requests. They can scrape data from multiple pages or websites simultaneously, scaling up or down as needed. For companies or individuals who need to gather data from thousands of web pages, the scalability of these APIs ensures that they can handle high workloads efficiently and without performance degradation.
• Data Structuring and Normalization: Web scraping APIs often include built-in functionality to clean, structure, and normalize raw data into a usable format like JSON or CSV. This eliminates the need for additional processing and ensures the data is ready for analysis or storage. It also helps in transforming unstructured web data into structured formats that are easier to work with.
• High Precision and Accuracy: Modern web scraping APIs use sophisticated algorithms and data parsing techniques to extract the exact information required from web pages. This ensures that the data scraped is highly accurate and precise, reducing the likelihood of errors. With advanced APIs, even complex web structures and dynamic content can be accurately processed.
• Bypassing Restrictions and Captchas: Some advanced web scraping APIs include features to bypass website restrictions like CAPTCHAs, IP blocking, and rate limiting. This enables uninterrupted data extraction even from websites that implement anti-scraping measures, making it easier to scrape data from a wide variety of websites, including those with high-security measures.
• Customizability: Many web scraping APIs offer custom scraping options, allowing users to define the specific data they want to extract, as well as the frequency and scheduling of the scraping process. Customization ensures that the scraping process is tailored to the specific needs of the user or business. Whether scraping only certain elements of a page or running the scraper at specific times, this flexibility is invaluable for optimizing the workflow.
• Avoiding Legal and Ethical Risks: Reputable web scraping APIs often follow best practices to ensure that data scraping is done in compliance with a website’s terms of service and relevant legal regulations. By using APIs that operate within legal and ethical boundaries, businesses reduce the risk of potential legal issues or being banned from websites for violating terms of service.
• Integration with Other Tools: Web scraping APIs often come with features that allow easy integration with other software, databases, and tools. This allows businesses to automatically feed scraped data into dashboards, databases, or analytics tools for real-time processing, analysis, and decision-making. Seamless integration reduces the time spent on manual data handling.
• Cost-Effectiveness: Using web scraping APIs can be much more cost-effective compared to building custom scraping solutions or hiring manual labor to gather data. With a subscription model or pay-as-you-go pricing, businesses can pay for exactly what they need, and avoid large upfront development costs associated with building their own scraping infrastructure.
• Consistency and Reliability: Well-designed scraping APIs are built with reliability in mind, often featuring redundant systems and monitoring to ensure consistent operation. This means that businesses can depend on web scraping APIs to run continuously and deliver consistent results without worrying about downtime or failure, even with fluctuating website conditions.
• Handling Complex Web Structures: Modern web scraping APIs are capable of handling websites with complex structures, including those with JavaScript rendering, dynamic content loading, and AJAX requests. This allows users to extract data from a wide variety of modern websites that may not be easily accessible through traditional scraping methods. It also ensures that even dynamic content that loads after the page initially loads is captured.
• Multi-language Support: Some web scraping APIs provide multi-language support, which is important when scraping data from international websites. This feature is beneficial for businesses that need to collect global data and can handle websites in different languages and character sets, helping them maintain a global scope in their data collection efforts.
• Detailed Documentation and Support: Most reputable web scraping APIs come with comprehensive documentation, guides, and customer support. This makes it easier for users, whether experienced or beginners, to understand and use the API effectively. In case of issues, customer support ensures that any challenges encountered can be addressed quickly and effectively.
• Prevention of IP Blocking: Web scraping APIs often use techniques like IP rotation, proxy management, and CAPTCHA solving to ensure that scraping requests are not blocked by websites. This allows users to scrape data continuously without worrying about their IP being blocked, ensuring a smooth and uninterrupted scraping experience.

Who Uses Web Scraping APIs?

• Data Analysts and Researchers: Data analysts and researchers use web scraping APIs to collect large datasets from websites for further analysis. They typically focus on gathering information like market trends, competitors’ pricing data, or sentiment analysis from social media platforms. These users often require high accuracy and reliability in the data they scrape, as it forms the foundation for their research or decision-making.
• eCommerce Businesses: eCommerce companies leverage web scraping APIs to monitor product prices, availability, and descriptions across different online stores. This helps them stay competitive by adjusting their own pricing and inventory strategies based on real-time market conditions. They also scrape product reviews to gather insights on customer sentiment and feedback.
• Digital Marketing Professionals: Digital marketers rely on web scraping APIs to monitor competitor activities, track keywords, or scrape content from social media platforms and forums for sentiment analysis. They use this data to optimize SEO strategies, create better-targeted ad campaigns, and enhance brand visibility.
• Financial Analysts and Traders: Web scraping is essential for financial analysts and traders who need real-time financial data from multiple sources like stock exchanges, financial news websites, and economic indicators. They scrape this information to feed into models that predict market movements or to identify investment opportunities by monitoring trends, news, and company reports.
• SEO Specialists: SEO specialists use web scraping APIs to track competitors’ rankings, extract backlinks, or scrape page content and meta tags from various websites. This helps them optimize their own site by understanding competitor strategies, identifying keyword opportunities, and improving their site’s content based on competitor performance.
• Lead Generation and Sales Teams: Sales teams and businesses focused on lead generation often scrape websites, social media platforms, and business directories to gather contact details such as email addresses, phone numbers, and company information. These datasets help them create targeted outreach strategies for potential clients or partners.
• Journalists and Media Organizations: Journalists use web scraping to collect news, articles, or public records from various sources on the internet. By scraping relevant information, they can track breaking news, monitor public statements, and analyze trends or opinions from a range of online platforms quickly. They may also use it to gather data from public government or legal databases for investigative reporting.
• Social Media Analysts and Influencers: Social media analysts and influencers scrape data from platforms like Twitter, Instagram, or YouTube to track engagement, hashtags, mentions, and overall trends. This helps them evaluate the performance of campaigns, understand audience sentiment, and fine-tune their social media strategies for better reach and engagement.
• Web Developers and Programmers: Developers often use web scraping APIs to gather test data for websites or applications they are building. They may also scrape data from various sources to feed into applications that provide additional functionality to users. In addition, developers may use web scraping APIs for automation tasks, such as data migration or data aggregation.
• Government and Public Policy Analysts: Government agencies and policy analysts use web scraping to gather publicly available data for research purposes. This can include information from regulatory filings, news reports, or public databases that help inform policy decisions or to track compliance with rules and regulations.
• Travel and Hospitality Companies: Companies in the travel industry, including airlines, hotels, and booking platforms, use web scraping APIs to track prices, reviews, and services across different competitors. By gathering this data, they can offer better deals, adjust pricing models, and track the sentiment of travelers to improve customer experience.
• Real Estate Agencies: Real estate professionals use web scraping APIs to monitor property listings, rental prices, and real estate market trends across multiple online platforms. This information helps them identify potential investment opportunities, analyze market conditions, and price properties effectively for buyers and sellers.
• Recruitment Agencies and HR Professionals: Recruitment agencies use web scraping to extract resumes, job postings, and candidate profiles from online job boards and professional networking sites like LinkedIn. This enables them to source candidates efficiently, match job requirements with candidate qualifications, and stay up-to-date with industry hiring trends.
• Content Aggregators and News Sites: Content aggregators and news platforms often use web scraping APIs to gather content from various sources and compile it into a single feed. This is useful for aggregating news articles, blog posts, videos, or other types of media that are relevant to a particular niche or topic. The scraped data helps them provide diverse and up-to-date content for their users.
• Academic Institutions and Libraries: Universities, libraries, and academic institutions utilize web scraping APIs to gather data from online research papers, academic journals, or government databases. They scrape this information to improve access to scholarly resources, monitor new publications, or collect metadata for indexing purposes.
• Nonprofit Organizations and Advocacy Groups: Nonprofits and advocacy groups use web scraping to track donations, identify funding opportunities, or monitor changes in public opinion related to their cause. They might also scrape legislative websites to keep tabs on policy developments or collect contact information for potential donors or partners.
• Technology Companies and SaaS Providers: Tech companies, especially those in the Software-as-a-Service (SaaS) industry, use web scraping to aggregate data that supports their platform's functionalities. For instance, SaaS providers in fields like business intelligence, customer relationship management, and analytics may scrape data from different online sources to fuel their tools and offer better insights to clients.
• Legal Professionals: Lawyers and legal researchers use web scraping APIs to gather case law, public records, legislation, and legal precedents. This helps them stay informed of legal developments, assist in case preparation, or analyze trends in litigation and judgments.
• Compliance Officer: Compliance officers scrape data from websites to track whether organizations or individuals are adhering to laws and regulations, especially regarding financial services, data privacy, or corporate governance. They may also use web scraping to monitor changes in legislation and regulations that could impact their industry.

How Much Do Web Scraping APIs Cost?

The cost of web scraping APIs varies significantly depending on factors such as the volume of data needed, the frequency of requests, and the specific features offered by the service. Typically, providers offer tiered pricing structures, where lower tiers are more affordable and intended for small-scale use, while higher tiers are designed for businesses or individuals with larger, more complex data scraping needs. Basic plans may start with free access or low monthly fees, which allow for limited requests or data extraction. As the demand for data increases, prices tend to rise based on the number of requests or the amount of data processed.

Additionally, the pricing for web scraping APIs often includes features like proxy management, CAPTCHA bypass, and access to different data formats, which can impact the overall cost. Premium plans may also offer dedicated support and higher request limits, making them more suitable for businesses requiring consistent, large-scale data extraction. Custom solutions may be available for specific use cases, with costs tailored to the unique needs of the project. Thus, while some basic options are affordable, advanced or high-demand usage can quickly lead to significant expenses depending on the nature of the scraping task.

What Do Web Scraping APIs Integrate With?

Software that can integrate with web scraping APIs generally includes programming languages and development environments designed for handling HTTP requests, processing data, and managing workflows. Commonly, languages such as Python, JavaScript, Ruby, and PHP are used in web scraping projects due to their extensive libraries and frameworks designed to interact with APIs. For example, Python has libraries like Requests and BeautifulSoup for handling HTTP requests and parsing HTML, while JavaScript uses tools such as Axios or Fetch for making requests and extracting data from web pages.

Additionally, there are web automation and testing tools that can integrate with scraping APIs, such as Selenium, which enables interaction with dynamic content on websites that require browser simulation. Platforms like Node.js also support web scraping through JavaScript-based APIs, offering non-blocking and efficient handling of multiple requests. Content management systems (CMS) and ecommerce platforms like WordPress and Shopify can also be integrated with web scraping APIs to extract data for product listings, market analysis, or content aggregation.

Data analytics tools such as Tableau or Power BI can use APIs to gather raw data from websites, transforming it into structured insights. CRM (Customer Relationship Management) systems like Salesforce might integrate with web scraping APIs to pull in competitive intelligence or data from social media platforms. These types of software can help streamline workflows and enhance data-driven decision-making, all while leveraging the power of web scraping to collect relevant and real-time information.

Trends Related to Web Scraping APIs

• Increased Automation and Efficiency: Web scraping APIs are becoming more automated, allowing businesses to collect large volumes of data quickly and efficiently. APIs are often designed to run without much human intervention, minimizing the need for manual scraping, and maximizing data collection and processing speed.
• Integration with Data Science and AI: As artificial intelligence and machine learning technologies grow, web scraping APIs are increasingly integrated with data science workflows. This allows for smarter scraping techniques, such as identifying patterns, extracting specific data types more accurately, and automating data cleaning processes to fit into larger analytical pipelines.
• Growth in Cloud-Based Solutions: Cloud-based scraping services are becoming more popular, offering flexibility, scalability, and the ability to scale scraping tasks without the need to maintain physical infrastructure. These platforms also provide the benefit of managing large-scale scraping operations with high uptime.
• Emphasis on Ethical and Legal Concerns: As web scraping becomes more common, there has been a growing focus on legal and ethical practices. APIs are now designed with considerations for respecting website terms of service, limiting request frequency, and minimizing the impact on website performance. Legal risks are being managed by offering users features to throttle requests and ensure compliance with regulations like GDPR.
• Enhanced Anti-Scraping Measures: Websites are increasingly adopting advanced anti-scraping technologies, such as CAPTCHA, rate-limiting, and IP blocking, making it harder to scrape data. In response, web scraping APIs are evolving to handle these challenges, with features like CAPTCHA-solving, rotating proxies, and advanced algorithms to bypass anti-scraping mechanisms.
• Focus on Real-Time Data: Real-time web scraping has gained importance in industries that require up-to-the-minute data, such as finance, ecommerce, and social media monitoring. Web scraping APIs are increasingly being used to pull real-time data from various sources, such as competitor pricing, stock market updates, or news articles, to ensure businesses can act quickly on new information.
• Customization and Flexibility: APIs are now more customizable, offering greater flexibility in scraping specific data points. Users can fine-tune their scraping queries to target specific parts of a webpage, whether it's extracting product prices, social media mentions, or job postings. This customization improves the efficiency and relevance of the data collected.
• Advancements in Proxy Networks: To avoid IP blocking and blacklisting, web scraping APIs are increasingly using proxy networks. These networks allow the scraping process to distribute requests across multiple IP addresses, simulating traffic from different locations to avoid detection. This trend ensures smoother scraping experiences, especially for large-scale operations.
• Scraping Dynamic Content: With the rise of dynamic websites that load content through JavaScript (like SPAs), scraping has become more complicated. Modern APIs have adapted to scrape JavaScript-rendered content, enabling users to access data that would otherwise be hidden behind complex scripts. This involves rendering the page through headless browsers or similar tools.
• Expansion in Niche Applications: Web scraping APIs are becoming more tailored to niche applications. From monitoring job listings and real estate prices to collecting data on academic papers or cryptocurrency trends, APIs are now being developed to meet the specific needs of various industries, making scraping more valuable and industry-focused.
• Integration with Other Data Sources: Web scraping APIs are increasingly integrated with other data sources, including databases, cloud storage, and data visualization tools. This enables seamless data extraction, storage, and processing workflows, allowing businesses to streamline operations and gain actionable insights quickly.
• Low-Code and No-Code Tools: With the rise of low-code and no-code platforms, more people are able to engage in web scraping without requiring deep technical knowledge. Web scraping APIs are being integrated into these platforms, making it easier for non-developers to set up and run scraping tasks through simple graphical user interfaces.
• Increased Use of Web Scraping for Competitive Intelligence: Many businesses use web scraping to gather competitive intelligence, such as monitoring competitors' product offerings, prices, and marketing strategies. APIs are being tailored for this purpose, enabling businesses to automatically collect and analyze data to stay ahead of the competition.
• Subscription-Based Business Models: The business model for web scraping APIs has shifted toward subscription services, with varying pricing tiers based on the number of requests, features, and scalability. This makes it easier for businesses of all sizes to access web scraping technology according to their specific needs and budget.
• Data Privacy and Compliance Features: As data privacy concerns grow, web scraping APIs are including features to ensure compliance with data privacy laws. This includes offering tools to manage how scraped data is stored, anonymizing data, and providing users with transparent ways to access and manage their data according to regulations like GDPR and CCPA.
• Support for Multi-Language Scraping: Web scraping APIs are becoming more versatile by offering multi-language support, enabling businesses to scrape websites in different languages. This is particularly useful for global organizations looking to expand their data collection capabilities across different regions and markets.
• Improved Error Handling and Monitoring: As web scraping becomes more complex, modern APIs are incorporating advanced error handling and monitoring tools. These tools notify users when scraping tasks fail, allowing for quicker adjustments, troubleshooting, and more consistent data collection results.
• Focus on High-Quality Data: There's a shift from scraping massive amounts of data to scraping high-quality, structured data that can be easily processed and analyzed. Web scraping APIs now focus on delivering data in standardized formats like JSON or CSV, making it easier to integrate with other systems and applications for downstream processing.

How To Select the Best Web Scraping API

When selecting the right web scraping APIs, you first need to evaluate the nature of the websites you plan to scrape. Consider whether the API can handle the specific type of content you're interested in, such as dynamic JavaScript-rendered data or static HTML content. Make sure the API supports the technology stack used by the websites you are targeting, such as AJAX, JSON, or XML. Next, think about the frequency of your scraping needs. Some APIs are designed for large-scale, high-frequency scraping, while others are better suited for occasional tasks. Scalability should be a key factor—ensure the API can grow with your needs if you anticipate increasing data extraction volumes.

Another important aspect is the ease of integration. Look for APIs that offer clear documentation and have libraries or SDKs that support popular programming languages, so you don't face a steep learning curve. Also, take into account the level of support the API provider offers, as well as its community. If you're dealing with complex scraping challenges, having access to responsive support and an active user community can be invaluable.

Security and compliance are critical. Be sure the API provider adheres to relevant data privacy laws, such as GDPR, especially if you're handling personal or sensitive data. Consider the API’s rate-limiting features to avoid overloading the target websites and to ensure that you're scraping ethically.

Lastly, cost is always a consideration. Some APIs offer free plans with limited features, while others have paid tiers based on usage. Balance the API’s cost with its value, keeping in mind your current and future needs. Be sure to review pricing models, especially if you expect your usage to scale.

Make use of the comparison tools above to organize and sort all of the web scraping APIs products available.