apiscrapy
4.71
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apiscrapy automates web scraping, creating data APIs for various purposes with zero coding needed.
What is apiscrapy?
apiscrapy is an AI-driven web scraping and workflow automation tool designed to enhance efficiency and productivity by automating web scraping tasks and converting extracted data into ready-to-use data APIs. It offers a variety of APIs for different purposes, including data extraction, product information, pricing details, reviews, social media data, and more. The platform supports data integration, provides specific scrapers for various platforms, and highlights features like no-coding requirements, automation-based processes, and flexibility in data delivery formats and database integration. Additionally, apiscrapy offers an on-demand data hub called AI-Data-Hub for curated, pre-annotated, and pre-classified data to facilitate AI model training and development.
Who created apiscrapy?
Apiscrapy was created by an AI-driven web scraping and workflow automation tool. It was launched on September 23, 2023. The tool aims to boost efficiency and productivity by automating web scraping tasks and converting data into ready-to-use data APIs. The company behind Apiscrapy offers services like scraper-as-a-service, data-as-a-service, and automation-as-a-service, with a focus on providing high-quality data securely.
What is apiscrapy used for?
- Workflow automation
- Data processing
- Data labeling
- Database Integration
- Automated workflows
- Data extraction from websites
- Data classification
- Automated data delivery
- Real-time price monitoring
- Pricing analytics
- Dynamic pricing
- Synthetic data generation
- Managed data acquisition at scale
- Automated data extraction from websites
- Classifying and processing data
- Integration of data into databases
- Building AI products and services
- On-demand data access
- AI-augmented annotation and labeling
- Real-time price monitoring and adjustment
- Access to historical price data
- Scalable data scraping
- On-demand data hub for AI products and services
- Historical price data access
- Data visualization and reporting
- Scalability and parallel processing
- AI-powered annotation and labeling
- Classifying data
- AI data hub for on-demand data
- Pre-annotated data access
- Automated price adjustment
- Automated web scraping tasks
- Data integration with databases
- Real-time data delivery
- High-quality data acquisition
- Enterprise-level scalability
- Integration with APIs, cloud, or web apps
- Cost savings (40% to 70%) in data collection
- Outcome-based pricing model
- Promoting lawful data scraping
Who is apiscrapy for?
- Developers
- Businesses
- Data labeling professionals
- AI product builders
- App developers
- Service providers
- Data aggregators
- Data Analysts
- Data Labelers
- Synthetic Data Sourcers
- Service Developers
- Data scientists
- Business analysts
How to use apiscrapy?
To use Apiscrapy, follow these steps:
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Managed Data Acquisition: Benefit from 10x faster data acquisition with AI on the platform.
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AI Platform Conversion: Easily convert any website into a ready-to-use data API without the need for coding or infrastructure.
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Data Extraction and Processing: Extract, process data, automate workflows, classify data, and integrate the data into databases or deliver it in any desired format.
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AI Data Hub: Access an on-demand data hub for curated, pre-classified data to train and develop AI models.
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AI Data Annotation: Utilize AI-augmented annotation and labeling for image, text, and video data.
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Price Scrapy: Leverage AI-driven price scraping for real-time monitoring, pricing analytics, and dynamic pricing strategies.
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Real-Time Data Delivery: Get real-time delivery of high-quality data, schedule data collection, and receive data directly into your database.
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Enterprise Scalability: Scale data collection using AI-supported tools without the need for manual coding.
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Outcome-Based Pricing: Save costs with an outcome-based pricing model that allows you to pay for what you consume.
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Promoting Lawful Data Scraping: Ensure GDPR compliance for scraping projects involving personal information to avoid legal issues.
Pros
- Offers a comprehensive suite of AI-powered web scraping and workflow automation tools
- On-demand data for building AI products & services
- High-quality data via automation workflows
- Enterprise-level scalability
- Real-time and scheduled delivery of high-quality data
- Outcome-based pricing model for cost savings
- Promoting lawful data scraping
- Off-the-shelf synthetic data access
- Automation-based processes
- Delivers data in any desired format or integrates it into databases easily
Cons
- Pricing may not justify the value for money considering their pricing model
- Advantages over opponents focused on data quality and competitive pricing but don't specify unique features or technology
- No specific mention of features like real-time monitoring, multiple types of data scraping, or support for multilingual websites
- No clarity on the level of customization available for data delivery format
- Requires commitment to higher collection volumes for lower rates
- Potential limitations in handling large-scale data extraction efficiently
apiscrapy Pricing and plans
Paid plans start at $39/website and include:
- Web Scraping Tasks Automation
- Data API creation
- Mobile App Scraping
- Data Labeling
- AI-Driven Scraping
- No Coding Requirement
apiscrapy FAQs
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What measures are taken to ensure the Data Quality and Security?
- We are an ISO 9001-2015 & ISO/IEC 27001:2013 Accredited Company delivering high quality data with stringent security protocols. We strictly adhere ISO quality and security standards in our end-to-end delivery process.
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Can you extract data from the entire website?
- Yes, we can scrape data of any size with any complexity. Our team is specialized in aggregating and handling data from hundreds to thousands of web pages — including any data source like text data, images, PDFs, files, etc.
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Can you scrape data from multilingual websites?
- Yes, we can extract data in any language of your preference such as English, Japanese, German, Chinese, etc.
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What happens after I send my web scraping requirement?
- When you share your web data scraping requirement with us, we start analyzing your needs carefully. We will then set up a web crawler as per your specification and prepare a Sample Data (POC) for you to examine.
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Is APISCRAPY capable of delivering data on scheduled time?
- Yes, APISCRAPY focuses on providing better customer satisfaction. We set up scrapers based on your specifications to extract valuable information and deliver the end results on your scheduled timeline.
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How do you outstand from your opponents?
- 1. Competitive Pricing- Apiscrapy provides data at an affordable price. 2. Unmatched Data Quality and Consistency- Professionals run various automation and manual verification steps. 3. Free of Cost Sample Delivery- Perform a POC to provide sample data without cost. 4. No Technical Expertise Needed- Data is ready-to-consume.
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Do you sign Non-disclosure Agreement (NDA) or bond registration?
- Yes, we do sign Non-disclosure Agreements to maintain data security and confidentiality.
Get started with apiscrapy
apiscrapy reviews
Mateusz Nowak
January 18, 2025
What do you like most about using apiscrapy?
The automation feature is impressive. I can set up scraping tasks to run at specific intervals, which saves me a lot of time.
What do you dislike most about using apiscrapy?
I wish there were more templates available for specific industries. Sometimes I have to build scrapers from scratch, which can be time-intensive.
What problems does apiscrapy help you solve, and how does this benefit you?
Apiscrapy really helps streamline my data collection for academic research. It allows me to focus on analysis rather than data collection, ultimately enhancing the quality of my work.
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Zara Ali
February 5, 2025
What do you like most about using apiscrapy?
The ease of use and no-code approach make it perfect for non-technical users like myself.
What do you dislike most about using apiscrapy?
There could be better support for troubleshooting issues that arise during scraping.
What problems does apiscrapy help you solve, and how does this benefit you?
It allows me to collect data from various platforms quickly, which is essential for my reporting needs.
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Nicolas Lemoine
January 13, 2025
What do you like most about using apiscrapy?
The data integration capabilities are top-notch, allowing for seamless use in my workflows.
What do you dislike most about using apiscrapy?
The learning curve can be a bit steep for new users, especially regarding the more advanced features.
What problems does apiscrapy help you solve, and how does this benefit you?
It solves my data collection issues efficiently, enabling me to focus on analysis rather than gathering data.
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