Our great sponsors
-
Webscraping Open Project
Discontinued The web scraping open project repository aims to share knowledge and experiences about web scraping with Python [Moved to: https://github.com/TheWebScrapingClub/webscraping-from-0-to-hero]
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
-
-
-
domonic
Create HTML with python 3 using a standard DOM API. Includes a python port of JavaScript for interoperability and tons of other cool features. A fast prototyping library.
-
WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
-
On the page about canvas fingerprinting[0], it only mentions Cloudflare. From what I can tell, reCaptcha v3 also uses canvas fingerprinting [1]
[0] https://github.com/reanalytics-databoutique/webscraping-open...
[1] https://brianwjoe.com/2019/02/06/how-does-recaptcha-v3-work/
Most helpful for me regarding scraping. Using Selenium on Lambdas, and using this container: https://github.com/umihico/docker-selenium-lambda
On the page about canvas fingerprinting[0], it only mentions Cloudflare. From what I can tell, reCaptcha v3 also uses canvas fingerprinting [1]
[0] https://github.com/reanalytics-databoutique/webscraping-open...
[1] https://brianwjoe.com/2019/02/06/how-does-recaptcha-v3-work/
Here’s an example of parsing some particularly annoying old school html. I’m not claiming it’s the _best_ way to do it, just that you can, and I’m not sure this one is doable with selectors. https://github.com/openstates/openstates-scrapers/blob/40246...
Anyone with a stake in bypassing anti-bot measures isn't going to share their tactics, since sharing it will lead to such workaround being patched or mitigated, requiring them to research for more bot detection workarounds.
Projects like cloudscraper[0] are often linked to point and say "look! they broke Cloudflare!" but CF and the rest of the industry has detections for tools like this, and instead of rolling out blocks for these tools, they give website owners tools like bot score[1] to manage their own risk level on a per-page basis.
0: https://github.com/VeNoMouS/cloudscraper
1: https://developers.cloudflare.com/bots/concepts/bot-score/
I'm not sure about quicker. Doesn't scrapy use elementpath?. which converts a css query to an xpath under the hood as there is no complete CSSOM available for python. Likely as there is no modern standards based python dom to operate on so doing it on lxml tree is probably the best option. I find the main difference is xpath can return an attribute value where as css returns the node. You can use either from the terminal in my lib... https://github.com/byteface/domonic (as it uses elementpath like scrapy)
This is the one I know about: https://morph.io/ and https://github.com/openaustralia/morph#readme (AGPLv3) -- they used to be at the intersection of "heroku for scrapers" and DoltHub (e.g. https://www.dolthub.com/repositories/dolthub/us-businesses/d...) since the scrapers would run but then make their data available as CSV or sqlite or whatever. But, when I just tried to load one of the morph.io scrapers, the page just said "creating new template" so I'm guessing they've gone the way of the ScraperWiki.com that preceded them: turns out, hosted compute for free isn't free