Web scraping has made gathering large training datasets from the web much easier, but the more complex your AI, the greater the size of the dataset you need. To acquire diverse data from a wide range of sources, you need web scrapers that can scale. Apify has the tools and expertise to get the data you need fast.
Data ingestion is a process that begins with data collection. The data collected needs to be relevant to the task the LLM is being trained for. That means you need the right scraping tool for the right data type. Apify has a range of tools designed to get specific kinds of data. Automatically filter what you need to feed and train your large language models.
After extracting the data you need, use our AI Product Matcher to find product pairs in provided datasets to i.e. compare your prices with your competitors.
Get a head start with further data manipulation, all while keeping your data safe within Apify's ecosystem, where you can integrate your workflow with other platforms and schedule your tasks to run on a regular basis.
GPT Scraper lets you extract data from any website and feed it into GPT. Watch our tutorial on how you can set it up to proofread content, summarize reviews, extract contact details.
First, create an Apify account. It’s free, no credit card is required, and you get $5 free prepaid platform usage every month!
Choose an Actor
Get your data
After everything’s set up, run the Actor. As soon as it’s successful, you’ll be able to download your data in Excel, JSON, HTML, and many other formats.
Every plan (free included) comes with Apify Proxy, which is great for avoiding blocking and giving you access to geo-specific content.
With our latest monitoring features, you always have immediate access to valuable insights on the status of your web scraping tasks.
Your datasets can be exported to any format that suits your data workflow, including Excel, CSV, JSON, XML, HTML table, JSONL, and RSS.
You can integrate your Apify runs with platforms such as Zapier, Make, Keboola, Google Drive, or GitHub. Connect with practically any cloud service or web app.
Apify is built by developers, so you'll be in good hands if you have any technical questions. Our Discord server is always here to help!
Web scraping is the automated process of extracting data from websites using software. Machine learning uses this data to train models for various applications such as sentiment analysis, recommender systems, and fraud detection.
It’s important to monitor and check for errors in your data and to make sure that the data is representative of the population it’s meant to represent. Sampling techniques and data cleaning methods can help improve data quality.
In supervised learning, scraped data can be labeled for training classification or regression models. In unsupervised learning, it can be used for clustering or association analysis to uncover patterns and relationships in the data.
It is legal to scrape publicly available data such as product descriptions, prices, or ratings. On the other hand, certain types of data, such as personal data or copyrighted content, are under special legal protection and you should not scrape these without first making sure you follow the relevant laws and regulations. Read through our blog post on the web scraping legality to learn more about the law and extracting data from the web. Web scraping for market research is specfically permitted in the European Union by the DSM directive.
Yes, there is. You can have programmatic access to any scraper on the platform via Apify's web scraping API. It is organized around RESTful HTTP endpoints and can be accessed either by using Python or Node.js clients, or manually. This API will enable you to fetch results directly from any of your datasets. Check out the Apify API reference docs for full details.
Yes. Our affiliate program offers up to 50% recurring commission for its participants. You can check out the terms & conditions and sign up for Apify Affiliate here.