Amazon S3
AWS Lambda
Amazon CloudFront
Google Cloud Storage
Amazon EC2
DynamoDB
Google App Engine
Amazon AWS
Extractor API
Microlink
Schema API
CRX Extractor
Diffbot
Mail Dump
GetData
Newscatcher News API
Amazon S3 (Amazon Simple Storage Service) is the storage platform by Amazon Web Services (AWS) that provides an object storage with high availability, low latency and high durability. S3 can store any type of object and can serve as storage for internet applications, backups, disaster recovery, data archives, big data sets and multimedia.
We automatically apply IP rotation and retries to every request (Free Plan included), and all our paid plans allow you to render JavaScript before extraction.
Free and paid plans can search the world's news with our News Search endpoint. Every request returns up to 100 news items, including metadata. Collect the URLs - then extract clean text with our Extractor endpoint.
Extract clean text, HTML, image and video links, authors, title, publication date, html, and raw text. Choose only the fields you need.
You can extract data from up to 1,000 URLs at a time using our online visual extractor - not just the API. The visual extractor is included in all plans.
Both the API and the visual extractor allow you to store your results in Jobs. Assign your target URLs a job name, then see their progress online or programmatically. Once the job is done, you can retrieve the results any time.
All paid accounts are able to translate to and from 55 languages. Swahili to English, Vietnamese to French, or anything you want - extract clean text and translate it with a single API call.
Amazon S3 Extractor APIBased on our record, Amazon S3 seems to be a lot more popular than Extractor API. While we know about 214 links to Amazon S3, we've tracked only 3 mentions of Extractor API. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
TLS at the API boundary encrypts the payload in transit, but your application is responsible for what happens to the document after the response arrives. If you're writing the rendered PDF to disk, a message queue, or cloud storage, that persistence layer needs its own encryption at rest. An unencrypted file sitting in an Amazon S3 bucket with overly permissive ACLs falls outside what the API provider's TLS covers. - Source: dev.to / about 2 months ago
SAM CLI generates the SAMCodeUriServices mapping so that each collection value resolves to its own build artifact. At package time, those paths become Amazon S3 URIs. I don't need to manage any of this. - Source: dev.to / about 2 months ago
Fine-tuning adapts an FM to a specific use case with proprietary training data. Titan, Cohere, and Meta models support fine-tuning via Amazon Bedrock. Text models need labelled prompt-completion pairs; image models need Amazon Simple Storage Service (Amazon S3) paths linked to descriptions. Secure training data with Amazon Virtual Private Cloud (Amazon VPC) + AWS PrivateLink. - Source: dev.to / 2 months ago
You need to understand vector stores for semantic and hybrid search using Amazon OpenSearch Service and Amazon Simple Storage Service (Amazon S3). Prompt caching helps reduce costs by reusing previously processed prompts. Amazon Bedrock Prompt Management simplifies the creation, evaluation, versioning, and sharing of prompts to help you get the best responses from foundation models. Flow orchestration with Amazon... - Source: dev.to / 3 months ago
All fine-tuning used Amazon SageMaker Training Jobs โ no instance provisioning, no SSH, no manual teardown. You provide a training script and an S3 dataset path, specify the instance type, and SageMaker handles the rest. - Source: dev.to / 4 months ago
Take a look at our webscraping API - should be able to do what you need it to do. https://extractorapi.com/. Source: about 3 years ago
If you want to make it easier, we built a text extraction tool that can fit a number of use cases https://extractorapi.com/ people are using it instead of GPT for the scraping and then in certain cases feeding the data that comes from here to some broader app/use case. Just another route! Source: about 3 years ago
I'm looking for input on our tool as a pipeline for text data into your own ChatGPT use case. We know you can use ChatGPT API to do the same task, but we've found that to be costly and time-consuming for the text extraction/scraping portion. We've built a cost-effective and quick tool, Extractor API, for that use case. Would love to see what others are using outside of just relying on ChatGPT for text extraction. Source: about 3 years ago
AWS Lambda - Automatic, event-driven compute service
Microlink - Extract structured data from any website
Amazon CloudFront - Amazon CloudFront is a content delivery web service.
Schema API - Extract structured content from the semantic web
Google Cloud Storage - Google Cloud Storage offers developers and IT organizations durable and highly available object storage.
CRX Extractor - Get any Chrome Extension source code. Learn and hack!
