The mapping that I use follows the documentation. We have a list of nested JSON objects

It's an issue in the ELK stack, not Twint. Workarounds/solutions are welcome.

What we can do

• index the list of objects
• read them in the documents
• search for documents via Console or REST API (thanks to ieosint for spotting this out)

What we can't do

• search for documents in Kibana's sear

Prerequisites

• I'm using the last version.
• My node version is the same as declared as package.json.

Subject of the issue

JSON-LD parsing.

Steps to reproduce

Attempt to scrape a page containing (the apparently valid) structured data outputted by the [Yoast SEO plugin](https://github.com/Yoast/wordpress-seo/blob/34cf8c33905415f4027505476f251bef81d79226/inc/cl

I'm having an issue with selectors, and in general they're hard to deal with because they are not documented, neither here nor in GoQuery.

I have this markup:

And I select :

type Categorie struct {
	Text string `goquery:"a,text"`
	Link string `goquery:"a,[href]"`
	Sub

when run with following code :
with MyConnectionScraper(cookie='AQEDAS9oddoAec7fAAABcD_bsSwAAAFwY-g1LFEAR5RwykzJFoxZQ1ZjaMH2vcXgsasLMFb0GwyGbqgh_guqW-K122YvSwg2_zhDnX_gbpdXrYjPqY5Mq9U2o3KmrfQCYbImYSAmUOTVDuPpUoBPkS') as scraper:
connections=scraper.scrape()
people=connections.to_dict()

no such element: Unable to locate element: {"method":"css selector","selector":".mn-connections > h

I'm pretty impressed with what you have here. However, I've noticed that the new "Featured Snippets" for all search results are being included as the Rank #1 serp (via the provided getOnPagePosition method). There should instead be a custom method for determining whether a Classical result is actually a Featured Snippet (I'm currently seeing this as a Rank #0 result across the web, and the featu

Hi, I've been using the library for several month, and since about one month ago I frequently encounter this problem and have to rerun the code and ignore certain posts. Please help to fix this. Thanks!

`Traceback (most recent call last):
File "", line 1, in
File "/data/imgur/scraper.py", line 331, in autoscrape
for post in get_viral_posts_from(date=day):
File "/