In an era of data-driven decision-making, data collection serves as the starting point of the data value chain, and its efficiency, quality, and compliance directly determine the effectiveness of subsequent data analysis and application. Currently, most data collection service providers support users in independently configuring rules to scrape public data, and offer full-chain services such as ready-made datasets, customized collection, and annotation.
This review focuses on 10 mainstream products—Dataify, Octoparse Collector, Houyi Collector, LocoySpider, Shenjianshou Cloud Crawler, Datatang, Yunce Data, Longmao Data, Jinglianwen Technology, and Biaobei Technology, providing a comprehensive breakdown across six core dimensions: core functions, operational threshold, performance, applicable scenarios, price and cost, and compliance, to help you precisely match your own needs and avoid selection pitfalls.
1、Dataify
Dataify provides a SERP search engine API. Relying on its self-developed intelligent unlocking system and data parsing technology, it can obtain the full search results of mainstream search engines in real time and in batches, covering all SERP result types such as organic rankings, paid ads, knowledge panels, and related Q&A, and supports collection in multiple scenarios including search, shopping, maps, and news. It can simulate the search environment of a target region to obtain local real data, enabling real-time public opinion monitoring, while also supporting flexible filtering by language, device type, and time range. A simple API call is all that is needed to return standard JSON structured data, making it easy to directly integrate with an enterprise's existing business systems.
Dataify also provides a Web Collection API, a General Scraping API, and a Video Data API. None of the above interfaces require complex technical development, and they support customized solutions to meet enterprises' individualized needs.
Dataify further provides enterprises and research institutions with massive ready-made datasets and customized services, including audio datasets, e-commerce datasets, social media datasets, and industry-specific professional datasets. The overall service offers high data quality, strong compliance, and saves time and effort, requiring no technical manpower investment from users, making it suitable for enterprises and research institutions that have high data quality requirements, no technical team, and large-scale data needs.
💪Advantages:High collection efficiency, with an average response time of <0.5s, support for 100+ concurrent requests, and enterprise-level availability of 99.9%; strong compliance, following international compliance standards such as HTTPS encrypted transmission and ISO 27001, with the entire data collection process secure and controllable; adopts a "pay only for success" model, with no charge for invalid requests, reducing enterprise costs; equipped with 7×24 technical support and fast response to customization needs.
💻Applicable scenarios:Enterprises with global business needs, AI large model R&D teams, and market research institutions, suitable for scenarios such as search engine data collection, SEO optimization monitoring, market insight, public opinion analysis, and competitor dynamics monitoring.
2, Octoparse Collector
With 10+ years of service experience in the big data field and cumulative service to 4.5M+ users, it requires no coding and can generate collection workflows through visual point-and-click operations. It has 300+ built-in collection templates for mainstream websites, covering multiple scenarios such as e-commerce, news, social media, and bidding and tendering, supports collection of all data types including text, images, documents, and tables, and also provides cloud collection services. Relying on 5,000 cloud servers, it can achieve efficient and stable 7×24 collection, collecting 1 billion+ pieces of data per day without errors or omissions. Collection results can be exported in multiple formats such as Excel and CSV, and can also be integrated with internal system APIs.
💪Advantages:Low barrier to entry; beginners with zero technical background can get started quickly; rich templates, no need to manually configure complex rules, saving time; supports both cloud and local collection modes, balancing efficiency and flexibility; adapts to most common web pages, with a high collection success rate and comprehensive after-sales tutorials and community support.
💻Use cases: Individual users without a programming background, small and micro e-commerce practitioners, and new media operators, suitable for small-scale data collection such as competitor price monitoring, industry news aggregation, social media content collection, etc.
3, Houyi Collector
Built by a former Google technical team, based on artificial intelligence technology, its core highlight is "intelligent recognition": simply enter a URL and it automatically recognizes data such as lists, tables, images, and prices as well as pagination buttons, with no need to configure complex rules, and collection can be completed with one click; supports visual click operations and can simulate human browsing behaviors such as text input, clicks, and page scrolling, adapting to complex collection scenarios; supports seamless switching across Windows, Mac, and Linux platforms, and collection tasks can be synchronized via a cloud account, so there is no need to worry about losing tasks; collection results can be exported to TXT, Excel, CSV, and other formats, and can also be directly synchronized to databases such as MySQL and MongoDB.
Advantages: Strong AI intelligent recognition capability, greatly lowering the operational barrier; full-platform support, adapting to different users' usage habits; no obvious feature cuts in the free version, unlimited exports, and high cost-effectiveness; tasks are synchronized in the cloud, making multi-terminal switching convenient, and collected data is stored locally with high security.
Use cases: Individual users and small teams with zero technical background, suitable for medium-scale data collection such as industry data aggregation, web content scraping, and simple competitor analysis, etc.
4, Locoy Collector
The product is positioned as Internet data scraping, processing, analysis, and mining software.
💪Core advantages and features:
- Strong collection capability: can collect comprehensive web pages, regardless of what language or encoding the website uses.
- Fast processing speed: the speed is 7 times that of ordinary collectors, thanks to top-tier system configuration and repeatedly optimized performance.
- High collection accuracy: emphasizes the precision of collection and publishing, "as accurate as copy/paste," ensuring that the core data users need is not missed.
🔗Product form and acquisition: Provides a free version (available upon application) and a commercial version. The current version is V10.29, the software size is 92.4MB, and running it requires installing the .NET 4.6 framework.
🧑🤝🧑Target users: Various types of users who need web data collection, processing, analysis, and mining. If further analysis of its applicability for specific scenarios (such as SEO, e-commerce, scientific research) is needed, more detailed information can be provided.
5. Shenjianyun Crawler
A cloud-based big data application development platform for developers, whose core positioning is "code-based customized collection." It supports online writing of JavaScript code to implement web data collection, automatically runs on cloud servers, requires no self-built servers, and supports distributed collection; it has leading anti-crawling technology, can directly access network resources, automatically recognize CAPTCHAs, and is fully automated without manual intervention; it provides a cloud collection marketplace where users with zero foundation can directly call ready-made collection programs uploaded by developers without writing code themselves; it supports data cleaning and data analysis functions, presents collection results in structured table form, can connect to various third-party systems, and also supports private deployment to meet enterprise data security needs.
💪Advantages: High flexibility and a high degree of customization, able to handle various complex collection scenarios; pure cloud-based operation, cross-system operation without pressure, can protect user information, and offers high security; a rich cloud-controlled marketplace, catering to both technical users and users with zero foundation; supports private deployment, adapting to enterprise-level data security requirements.
💻Applicable scenarios: Developers and technical teams with programming foundations, suitable for customized collection needs and large-scale data scraping, such as enterprise competitor dynamics monitoring, in-depth industry data mining, multi-platform data aggregation, etc.
6. Datatang
Founded in 2010, it is a globally renowned AI training data service enterprise, providing full-stack data services, including copyrighted finished datasets, customized data collection, data annotation, and industry solutions; it has 1,000+ copyrighted datasets, covering multimodal data such as speech (2 million hours), computer vision (800TB), and text, covering 100+ languages and dialects, and also has a PB-level large model dataset reserve; it supports customized data collection and annotation services for multiple industries such as intelligent driving, intelligent customer service, smart home, new retail, and healthcare, and has self-developed the "Shujiajia" annotation platform, which supports 2D, 3D, and 4D data annotation, with built-in algorithmic quality inspection and multi-level manual quality inspection processes to ensure data quality, while also passing international certifications such as ISO9001 and ISO27001 to ensure data security and compliance.
💪Advantages: Finished datasets are rich in resources, with clear copyrights, can be directly reused, and save collection time; data quality is high, and accuracy is guaranteed through human-machine collaborative quality inspection; industry solutions are well-developed and adapt to the needs of enterprises in multiple fields; strong compliance and a mature data security system, suitable for users with high requirements for data copyright and security.
💻Applicable scenarios: AI model developers, large enterprises, and scientific research institutions, suitable for scenarios requiring a large amount of ready-made training data and customized industry data collection and annotation, such as large model training, intelligent driving data reserves, medical data annotation, etc.
7, Yunce Data
Focuses on high-quality AI data services, providing customized collection of all types of text, image, audio, and video data, including special collection services such as sentence-reading data and minor-language data; minor-language collection covers multiple regions such as East Asia, Southeast Asia, and Europe; provides customized collection solutions for different industries, including scenarios such as intelligent driving, safe cities, smart home, finance, and new retail; has self-built annotation teams and bases, standardized process management, full-process control by project managers, data accuracy reaching 99%, a delivery team of a thousand people, fast delivery speed, and also has comprehensive data security protection measures, separation of annotation and review, and a well-developed risk control mechanism.
💪Advantages: Strong customized collection capability, adapting to complex scenarios across multiple industries; high data accuracy, with guaranteed annotation professionalism; high delivery efficiency, able to meet the rapid delivery needs of large-scale data; special services such as minor-language collection and sentence-reading data collection have outstanding competitiveness; strong compliance and data security.
💻Applicable scenarios: AI enterprises and large enterprises with high requirements for data precision, suitable for customized data collection and annotation needs in scenarios such as intelligent driving, financial OCR, smart home, and safe cities.
8, Longmao Data
Founded in 2014, it focuses on AI data services, providing full-chain services including data collection and data annotation. It owns the "Longmao Crowdsourcing" platform, which can complete data sample tasks on the order of over one million per day and can carry out the collection of over ten million samples per day. It supports customized collection of multiple data types such as text, images, speech, and video, and can complete data filtering, classification, and other work in different scenarios according to customer needs. It has a professional reserve of vertical-domain talent, covering fields such as medical imaging, multilingual, and news editing. It also has annotation bases in Chongqing, Wuhan, Changsha, and other places, and can provide multiple types of data annotation services such as images, video, point clouds, and multimodal, suitable for complex scenarios such as large model training and autonomous driving.
💪Advantages: Large scale of collection and annotation, able to meet large-scale data needs; the crowdsourcing model is flexible, with high delivery efficiency; rich reserve of vertical-domain talent, able to adapt to professional scenarios such as healthcare and multilingual; has served over a thousand customers, with rich industry experience and support for distinctive services such as autonomous driving data simulation.
💻Applicable scenarios: AI enterprises and medium-sized enterprises, suitable for scenarios such as large-scale data collection and annotation, vertical-industry data services, and large model training data reserves, such as autonomous driving data collection, medical imaging annotation, and multilingual data collection.
9, Jinglianwen Technology
Founded in 2012, it is a leading domestic AI basic data service provider, offering one-stop services for data collection, data annotation, finished data sets, and industry solutions. Its self-developed "Jinglianwen Data Annotation Platform" supports refined annotation of multimodal data such as images, video, speech, text, and point clouds, and has built-in AI pre-annotation and algorithmic quality inspection, which can greatly improve annotation efficiency. It has tens of millions of copyrighted data sets, covering vertical fields such as faces, license plates, gestures, voice wake-up words, and medical imaging. It supports customized data collection for scenarios such as intelligent driving, security, new retail, finance, and healthcare, with collection environments covering complex conditions such as indoor and outdoor, different lighting, and multiple angles. The company has passed certifications such as ISO9001 and ISO27001, and has a complete data compliance and security assurance system.
💪Advantages:Rich finished data sets with clear copyrights, which can be directly used for model training and save time costs; the self-developed annotation platform supports semi-automated annotation, with strict quality control and annotation accuracy of over 99%; strong customized collection capabilities, able to simulate various real scenarios and meet complex AI training needs; high compliance, with mature data desensitization and privacy protection mechanisms, suitable for customers with strict data security requirements.
💻Applicable scenarios:AI algorithm teams, autonomous driving enterprises, smart healthcare institutions, and customers in the security and retail industries, suitable for scenarios requiring large amounts of ready-made data sets or customized collection and annotation, such as autonomous driving perception training, medical imaging analysis, and face recognition model optimization.
10. Biaobei Technology
Founded in 2016, it focuses on intelligent speech and AI data services. Its core business covers speech data collection, speech data annotation, TTS (text-to-speech) customization, voice cloning, multilingual corpus construction, and more. It has over 100,000 hours of copyrighted speech datasets, covering Mandarin, dialects (such as Sichuan dialect and Cantonese), minority languages (Japanese, Korean, English, etc.), and children's voices, suitable for speech recognition (ASR) and speech synthesis (TTS) training. It supports speech collection in complex scenarios such as high-noise environments, far-field, and multi-microphone arrays, and provides fine-grained services such as audio-text proofreading, prosody annotation, and emotion annotation. Its self-developed "Biaobei Annotation Platform" supports collaborative annotation of multiple types such as text, speech, and images, with built-in intelligent pre-recognition and quality inspection processes. At the same time, it provides customized speech data solutions for scenarios such as intelligent customer service, in-vehicle voice, and educational robots.
💪Advantages: Strong professionalism in speech data; finished datasets cover multiple languages, multiple voice types, and multiple scenarios, and can be directly used for commercial model training; collection and annotation capabilities fit real application scenarios (such as in-vehicle and home noise), with high data quality; supports voice cloning and personalized TTS customization to meet differentiated needs; delivery cycles are controllable, with professional recording studios and annotation bases, standardized processes, and data security and compliance.
💻Applicable scenarios:Speech AI companies, smart hardware manufacturers, in-vehicle voice teams, and large-model multimodal research teams. It is suitable for scenarios such as speech recognition model training, speech synthesis product development, and supplementation of dialect and minority-language speech data.
When choosing, it is necessary to combine your own technical capabilities, data scale, and compliance requirements: use free tools for temporary small-scale needs; APIs are recommended for structured public data; choose professional service providers with copyright and quality assurance for AI model training. Only precise matching can unlock the value of data.