- Online marketplaces
In the marketplaces people offer their products for sale. Similar to garage sales, but online. (eg. eCrater, www.1188.no).
Easy to scrape since they are usually free and do not tend to protect their data.
- Business directories
The usually huge online directories targeted at the general audience. (eg. Yellow Pages). They do protect their data to avoid duplication and loss of audience. See some posts on this.
In this post I want to let you how I’ve managed to complete the challenge of scraping a site with Google Apps Script (GAS).
Most of the answers to the question in internet forums are given by services that automatically solve captchas. They provide services to solve CAPTCHA rather than to fully skip it.
Recently I received this question: What are the best online resources to acquire data from?
The top sites for data scrape are data aggregators. Why are they top in data extraction?
They are top because they provide the fullest, most comprehensive data [sets]. The data in them are highly categorized. Therefore you do not need to crawl and fetch other resources and then combine multiple-resource data.
Those sites fall into 2 categories:
- Goods and services aggregators. Eg. AliExpress, Amazon, Craiglist.
- Personal data and companies data aggregators. Eg. Linkedin, Xing, YellowPages. For such aggregators another name is business directories.
The first category of sites and services is quite wide-spread. These sites and services promote their goods with the goal of being well-known online, to have as many backlinks as possible to them.
The second category, the business directories, does not tend to reveal its data to the public. These directories rather promote their brand and give scraping bots minimum opportunity for data acquiring*.
Consider the following picture where a company’s data aggregator gives to the user only 2 input fields: what and where.
You can find more of how to scrape data aggregators in this post.
*You have to adhere to the ToS of each particular website/web service when you perform its data scraping.
Recently I’ve got a question:
How do I get pass the dynamic “load more” button using a Python web scraper?
In this post I’d like to share my experience with scraping data aggregator/business directory using the residential proxy of the Bright Data proxy provider in conjuction with its proxy manager.
Question: Is there any way to include captcha on the site and at the same time prevent services like 2captcha from resolving it?
We’ve already introduced you to the theory behind the new NO CAPTCHA reCAPTCHA v2, but now we come to the practical integration part. Here we’ll share how to insert and configure “NO CAPTCHA reCAPTCHA” into a web page.
Sooner or later a new generation of spam protection methods will emerge to block all unwanted site visitors. The recently launched Google “No CAPTCHA reCaptcha” or ReCaptcha v2.0 could just be such a method.
This new behaviour analysis tool is getting more and more attention both from the site owners and from scraping engines who are trying to break it. Since Google does not reveal any secrets of its operation, we want to share with you the techniques used in this new smart analysis CAPTCHA that determines between bot and human. Let s look inside.