Turn unstructured websites into useful clean data for your marketers, lead generators, competitors research.
High data quality
Total customer privacy
How we work
You tell us what target URLs you would like to extract and what data you need.
Data structure confirmation
We develop the first crawler and gather first small data set to confirm with you the data structure. To make sure we don't miss anything and would get what you need.
We run crawler in production and collect all data from target sites. We deal with bans, captchas and all anti-bot protection if needed.
We cross-validate crawled data to ensure it's quality. We updated extraction without re-crawling if needed.
We deliver a final data set to your storage at AWS S3, Microsoft Azure, FTP server, or a database itself.
Web scraping is an activity when unstructured web pages become structured data.
We’re specialising in two types of crawling: — Targeted crawl — Broad crawl
Crawls are targeted when we know precisely: — The aimed site — What information we would extract from there — How we would find that information
The above picture is an excellent example of a targeted crawl. Usual examples of targeted crawls are: — E-commerce extraction and monitoring — Booking and reservations sites monitoring — Social networks and media So many others.
On the other hand, the broad crawl is how search engines index the internet. When we do broad crawl, we rip an entire website, store it in our database and then process it with our machine learning algorithms.
For that, we created excellent tools.
This platform helps us:
— Completely hide bots. Make all crawling activity looks like human behaviour. — Emulate popular web browsers — Do crawling gracefully for target sites — Easily test results — Save all page sources in the database for further investigation, fixes and data re-extraction.
However, now you could you could order our Professional Services and get in touch with them through our service.
An open-standard file format that uses human-readable text to transmit data objects.
A markup language that defines a set of rules for encoding documents in a format that is both human-readable and machine-readable.
A delimited text file that uses a comma to separate values. That easily opens in Excel.
Delivery storage options
The most popular cloud storage. It stores trillions of objects and guarantees 99.9% monthly uptime SLA.
Azure storage blobs
Durable and highly available, secure and scalable cloud storage provided by Microsoft.
Google cloud storage
Allows worldwide storage and retrieval of any amount of data at any time. Google Cloud Storage suits well for data transfer.
Proven classics for files transfer.
Excellent, time-tested protocol for data delivery to your server in any data centre.
Delivery database options
One of the most popular open-source relational database management systems.
An object-relational database management system with an emphasis on extensibility and standards compliance.
A relational database management system developed by Microsoft.
A free and open-source cross-platform document-oriented database program. Classified as a NoSQL database, it uses JSON-like documents with schemata.our professionals have more than 5 years of legal experiences.
An open-source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability. It supports different kinds of abstract data structures
An open-source, non-relational, distributed database modelled after Google's Bigtable and written in Java
A search engine based on Lucene. It provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents.
A free and open-source, distributed, wide column store, NoSQL database management system designed to handle large amounts of data across many commodity servers, providing high availability with no single point of failure.