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@ -41,15 +41,15 @@ that the website is **not** hosted on Netlify, but on GitHub Pages (more on that
later).
The script compares the date of the last commit in `./docs` with the date of the
last deploy. If no new commits were added, it will stop. Otherwise, it will
last deploy. If there are no new commits, it will stop. Otherwise, it will
continue and build the website.
To make this comparison, both this script and the manual deploy script add a
`last_update` file to the `./dist` folder containing the timestamp of the last
deploy. This file is then used to see if changes are present and should be
deployed.
deploy. This file is then used to see if changes are present if it should deploy
anything.
Once the build is complete, the `./dist` folder is committed to the `gh-pages`
Once the build is complete, it commits the `./dist` folder to the `gh-pages`
branch and pushed to GitHub. This part requires some non-trivial `git` and `ssh`
configuration commands to push data from Netlify to GitHub pages on our behalf
(check `./scripts/netlify-master` for more details).
@ -58,20 +58,20 @@ configuration commands to push data from Netlify to GitHub pages on our behalf
Any new Pull Request to the documentation will trigger a deploy preview build.
Netlify is configured to run `./scripts/netlify-deploy-preview` on each new PR
(check `netlify.toml` for details).
Netlify runs `./scripts/netlify-deploy-preview` on each new PR (check
`netlify.toml` for details).
This script will first check if changes were made to the `./docs` subfolder in
the PR. If no change were made, the preview will not be generated (this will
make processing time faster).
This script will first check if the PR changes anything to the `./docs` subfolder.
If PR doesn't change anything, it will not generate the preview (this will make
processing time faster).
Whenever the preview is ready, a message from Algobot will be added to the PR,
along with the link to the preview. This is configured in Netlify UI in _Build
and Deploy > Deploy notifications > Comment on GitHub pull request when deploy
succeeds_. It uses a GitHub token from Algobot to post on its behalf. To
generate such a token, login to Netlify with Algobot and pretend to create such
a notification on any project, generate a token, and then copy-paste it in the
real DocSearch account in Netlify.
Whenever the preview is ready, Algobot adds a message to the PR, along with the
link to the preview. This is a Netlify UI setting in _Build and Deploy > Deploy
notifications > Comment on GitHub pull request when deploy succeeds_. It uses a
GitHub token from Algobot to post on its behalf. To generate such a token, login
to Netlify with Algobot and pretend to create such a notification on any
project, generate a token, and then copy-paste it in the real DocSearch account
in Netlify.
## Internals
@ -83,11 +83,11 @@ second one adds a webserver with live-reload on top of the first one.
### HTML
All Markdown files situated in `./src` will be transformed into `.html` files in
`./dist`. They will be wrapped into the layout defined in their front-matter.
It transforms every Markdown files situated in `./src` into `.html` files in
`./dist`. It wrapps them into the layout defined in their front-matter.
All the headers will be converted to their respective `<hX>` tag, along with a
unique `#id` to allow for easy anchoring.
It converts every header to their respective `<hX>` tag, along with a unique
`#id` to allow for easy anchoring.
You can use plain HTML inside those Markdown files if you need more advanced
styling. The custom `{my-class}` syntax is also possible if to add CSS classes
@ -109,10 +109,10 @@ This is my paragraph. {p-2}
### Layouts
All layouts are saved in the `./src/_layouts` folder.
Layouts are in the `./src/_layouts` folder.
All config options defined into `config.json` are passed to the layouts and can
be used there.
It passes every config options defined into `config.json` to the layouts and are
available there.
You can also use mixins or include other files from the layouts.
@ -121,7 +121,7 @@ recursive cases, but should be enough for simple cases._
### CSS
CSS is processed through PostCSS. It expects an entry file in `./src/style.css`.
PostCSS processes CSS. It expects an entry file in `./src/style.css`.
We are using `postcss-import`, allowing you to `@import` files from the
`./src/_styles/` directory to better split your CSS code in logical chunks.
@ -135,8 +135,8 @@ that are actually used) and CleanCSS (to minify it).
### JavaScript
JavaScript code is processed through Babel. It will compile all files situated
in `./src/js`.
Babel processes JavaScript code. It will compile all files situated in
`./src/js`.
_Note that it compiles JS, and does not bundle it. We might add Webpack/Parcel
support later._
@ -149,8 +149,8 @@ automatically copied to the `./dist` folder with the same folder structure:
### Placeholders
Values defined in the `placeholders` key of the `config.json` file can be used
in JavaScript and Markdown files by using the `{{key}}` syntax.
You can use the values defined in the `placeholders` key of the `config.json` in
JavaScript and Markdown files by using the `{{key}}` syntax.
For example if you have:
@ -163,19 +163,19 @@ For example if you have:
}
```
Every occurrence of `{{projectVersion}}` in any `.md` or `.js` file will be
replaced with `1.4.2`.
It replaces every occurrence of `{{projectVersion}}` in any `.md` or `.js` file
with `1.4.2`.
### Sidebar
The left sidebar of the documentation is generated based on the `sidebar` key of
It generates the left sidebar of the documentation based on the `sidebar` key of
the `config.json`. The key should contain an array where each key is a part of
the sidebar, with a `title` and a list of `pages`. Each of those pages in turn
is an object with a `title` and `url` value.
The layout will then automatically create all the links and color the active
page. Subsections inside the current page will also be added for every `h2`
element extracted from the markup of the current page.
page. It adds subsections inside the current page for every `h2` element
extracted from the markup of the current page.
### Redirects
@ -184,5 +184,4 @@ a `from` and a `to` key. For each `from`, it will create a plain HTML page at
this location, that will redirect anyone visiting it to the page defined in
`to`.
_Note that both those links must be defined as relative to the `site.url`
value._
_Note You must define the links as relative to the `site.url` value._

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@ -66,8 +66,8 @@ matching links from `stop_urls`.
### `selectors_key`, tailor your selectors
You can define finer sets of selectors depending on the URL. This is done thanks
to the parameter `selectors_key` from your `start_urls`.
You can define finer sets of selectors depending on the URL. You need to use the
parameter `selectors_key` from your `start_urls`.
```json
{
@ -509,8 +509,8 @@ Note that this is often used to avoid duplicate content, by adding
The default value is `0`. By increasing it, you can choose not to index some
records if they don't have enough `lvlX` matching. For example, with a
`min_indexed_level: 2`, the scraper only indexes temporary records having at
least `lvl0`, `lvl1` and `lvl2` set. You can [find out more details about this
`min_indexed_level: 2`, the scraper indexes temporary records having at least
`lvl0`, `lvl1` and `lvl2` set. You can [find out more details about this
strategy in this section][5].
This is useful when your documentation has pages that share the same `lvl0` and

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@ -4,7 +4,7 @@ title: CSS config helper
---
To speed up the process of defining which selectors could make a good candidate,
we created a custom CSS file to help us see what tags are used at a glance.
we created a custom CSS file to help us to see what tags it needs.
![Jest documentation after][3]

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@ -3,12 +3,11 @@ layout: two-columns
title: Dropdown Search-UI
---
Once your Algolia DocSearch index is ready, correctly set up, and filled with
the right data, you will need to integrate our dedicated Search-UI. To add the
dropdown of results below your search input, you'll have to include our
DocSearch library into your website as per the following example. Your `apiKey`
and `indexName` credentials will be given to you as soon as we've created your
config.
Once your Algolia DocSearch index is ready, set up, and filled with the right
data, you will need to integrate our dedicated Search-UI. To add the dropdown of
results below your search input, you'll have to include our DocSearch library
into your website as per the following example. You will receive your `apiKey`
and `indexName` credentials as soon as we've created your config.
```html
<!-- Before the closing </head> -->
@ -35,7 +34,8 @@ config.
</script>
```
This snippet needs to be integrated to every page that integrates the dropdown UI
You need to integrate this snippet into every page that integrates the
dropdown UI
## Testing

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@ -12,8 +12,7 @@ us][1] directly.
Every day.
The exact time of day might vary each day, but we'll crawl your website at most
every 24 hours. We will also trigger a manual crawl every time your
configurations is updated.
every 24 hours.
## What do I need to install on my side?
@ -40,15 +39,13 @@ account (free accounts can hold as much as 10k records).
## What data are you collecting?
We only save the data we extract from your website markup, which we put in a
custom JSON format instead of HTML. This is the only data we put in the Algolia
DocSearch index. This data is based on the selectors defined in your config
file,
We save the data we extract from your website markup, which we put in a custom
JSON format instead of HTML. This is the data we put in the Algolia DocSearch
index. The selectors in your config define the data on file,
As the website owner, we also give you access to the Algolia Analytics
dashboard. This will let you have more data about the anonymized searches that
were done on your website. You'll see the most searched terms, or those with no
results.
dashboard. This will let you have more data about the anonymized searches in
your website. You'll see the most searched terms, or those with no results.
With such Analytics, you will understand better what your users are doing.
@ -56,7 +53,7 @@ _If you don't have Analytics access, [send us an email][1] and we'll enable it._
## Where is my data hosted?
All DocSearch data is hosted on Algolia's servers, with replications around the
We host the DocSearch data in Algolia's servers, with replications around the
globe. You can find more details about the actual [server specs here][4], and
more complete information in our [privacy policy][5].
@ -73,9 +70,9 @@ either:
Yes, but we do not recommend it.
Code samples are a great way for humans to understand how a specific pattern ap
alpha / method should be used. It often requires boilerplate code though,
repeated across examples, which will add noise to the results.
Code samples are a great way for humans to understand how people use a specific
method. It often requires boilerplate code though, repeated across examples,
which will add noise to the results.
What we recommend instead is to exclude the code blocks from the indexing (by
using the `selectors_exclude` option in your config), and instead structure your
@ -87,7 +84,7 @@ This can happen when you have more than one URL pointing to the same content,
for example with `./docs`, `./docs/` and `./docs/index.html` or even both `http`
and `https` in place.
This can be fixed by `stop_urls` to all the patterns you want to exclude. The
You can fix the `stop_urls` to all the patterns you want to exclude. The
following example will exclude all URLs ending with `/` or `index.html` as well
as those starting with `http://`.
@ -102,10 +99,9 @@ as those starting with `http://`.
Changing your setting from the dashboard might be something you want to do for
some reasons .
Please be aware that your DocSearch settings are set at every time the crawler
is successful. These settings will be overridden at the next crawl. We **do not
recommend to edit anything from the dashboard**. These changes have be made from
the JSON configuration itself.
Every successful crawl sets the DocSearch settings. These settings will be
overridden at the next crawl. We **do not recommend to edit anything from the
dashboard**. These changes come from the JSON configuration itself.
You can use the [custom_settings parameter][8] in such purpose.
@ -118,29 +114,34 @@ encourage you to file an issue in their repository explaining how DocSearch
could help. Feel free to [send us an email][1] as well, and we'll provide all
the help we can.
## How many records are created by DocSearch?
## How many records does the DocSearch crawl create?
The [property `nb_hits`][9] in your configuration keeps track of the number of
records that were extracted and indexed by the last DocSearch run. It is updated
automatically at each run.
records the crawl has extracted and indexed by the last DocSearch run. It
updates this number automatically.
The DocSearch scraper follows [the recommended atomic-reindexing strategy][10].
It creates a brand new temporary index to populate the data scraped from your
website. Once the crawl is successfully achieved, this temporary index overwites
the old index defined in your configuration with the key `index_name`.
website. When successful, the crawl overwites the old index defined in your
configuration with the key `index_name`.
## Why aren't my pages indexed?
We are scraping your website according to your configuration. It might happen
that some pages are missing from the search. There are several possible
reasons for that:
that some pages are missing from the search. The possible reasons for that are:
- Makes sure you are not filtering on the search by wrongly using
`facetFilters`. [See here for more details][11].
- Make sure the page missing is referenced from an other indexed page thanks to
a hyperlink tag `<a/>`.
- Make sure that an other indexed page references the page missing thanks
to a hyperlink tag `<a/>`.
- Make sure you are [providing a compliant sitemap from the configuration][12]
and that this page is referenced by it.
and that it references the page.
## Can I know when the next crawl will happen?
No you can't. You should be aware that we made every crawls in a day. The
position of your crawl in the queue is the inverse of the lexicographic order of
your `index_name` amongs the whole list of featured website.
If none of the previous points help, you can contact our support.

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@ -26,7 +26,7 @@ This payload will be the only data extracted from your page.
![4th step][5] {mt-2}
We index the temporary record when we add an element to it (if
`min_indexed_level` is set to `0`)
`min_indexed_level` equals `0`)
## We pile up the elements based on the current temporary record

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@ -5,7 +5,7 @@ title: How does it work?
Getting up and ready with DocSearch is a straightforward process that requires
three steps: you apply, we configure the crawler for you, and you integrate our
Search-UI in your frontend. It is as simple as copying and pasting a JavaScript
Search-UI in your frontend. You only need to copy and paste a JavaScript
snippet.
![How it works][4] {mt-2}
@ -23,13 +23,13 @@ applications, please give us a couple of days to get back to you :)
Once we receive [your application][1], we'll have a look at your website and
create a custom configuration file for it. This file defines which URLs we
should crawl or ignore, as well as the specific CSS selectors to be used for
should crawl or ignore, as well as the specific CSS selectors to use for
selecting headers, subheaders, etc. All configs are publicly available in our
[config repository][2].
This step still requires some manual work and human brain, but thanks to the +1
000 configs we already created, we're able to automate most of it. Once this
creation is done, we'll run a first indexing of your website and have it run
creation finishes, we'll run a first indexing of your website and have it run
automatically every 24h.
## You update your website
@ -38,10 +38,10 @@ We'll then get back to you with the JavaScript snippet you'll need to add to
your website. This will bind your search `input` field to display results from
your Algolia index on each keystroke in a dropdown menu.
The default styling of the dropdown uses a grey theme to fit in most designs.
The dropdown itself is made of HTML with custom CSS classes and we recommend
that [you overwrite those classes][3] to provide a theming more inline with the
rest of your website.
The default styling of the dropdown uses a grey theme to fit in most designs. We
have made the dropdown itself with HTML using custom CSS classes and we
recommend that [you overwrite those classes][3] to provide a theming more inline
with the rest of your website.
Now that DocSearch is set, you don't have anything else to do. We'll keep
crawling your website every day and update your search results automatically.

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@ -14,14 +14,14 @@ link in those pages until it has browsed every compliant page.
If you have explicitly defined a `sitemap.xml`, our crawler will scrape every
provided and compliant page. We do recommend using [a sitemap][1] since it
clearly exposes URLs to crawl and avoid missing pages that aren't linked from
explicitly exposes URLs to crawl and avoid missing pages that aren't linked from
another one.
## Extracting content
Building records using the scraper is pretty intuitive. According to your
settings, we extract the payload of your web page and index it, preserving your
data's structure. This is achieved in a simple way:
data's structure. It achieves this in a simple way:
- We **read top down** your web page following your HTML flow and pick out your
matching elements according to their **levels** based on the `selectors_level`
@ -40,8 +40,8 @@ isn't flushed._
Algolia always returns the most relevant results first, using a [tie-breaking
approach][2]. DocSearch will first search for exact matches in your keywords
then fallback to partial matches. Those results will then be ordered based, once
again, on the page hierarchy, as extracted from the `selectors`.
then fallback to partial matches. It sorts those results, once again, on the
page hierarchy, as extracted from the `selectors`.
The default strategy is to promote records having matching words in the highest
level first. Thus if two results have the same matching words, the one having
@ -49,14 +49,14 @@ them in the highest level (lvl0) will be ranked higher. We also use the position
of the matching words. The sooner they appear within the HTML flow, the higher
the record will be ranked.
The relevancy is based on several factors and can be customized according to the
Algolia tie-breaking method.
We base relevancy on several factors and customize it according to the Algolia
tie-breaking method.
You can boost pages depending on their URLs. This is done from the `start_urls`
and its `page_rank` attributes. It is a numeric value (defaults to 0). The
higher it is, the higher results from the matching pages will be ranked. For
example all pages with a `page_rank` of 5 will be returned before pages with a
`page_rank` of 1.
You can boost pages depending on their URLs. You should use the `start_urls` and
its `page_rank` attributes. Its value is a numeric value (defaults to 0). The
higher the value is, the higher results from the matching pages will be ranked.
For example all pages with a `page_rank` of 5 will be returned before pages with
a `page_rank` of 1.
You could even change the relevancy strategy by [overwriting the default
`customRanking`][3] used by the index by using the `custom_settings` option of

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@ -17,8 +17,8 @@ see how to enable DocSearch on your website:
- [pkgdown][6] - [DocSearch indexing][7]
- [LaRecipe][8] - [Algolia Search][9]
Additionally, if you're a maintaining a similar tool and would like to be added
to the list, get [in touch with us][10]. We'd be happy to help.
If you're a maintaining a similar tool and wants us to add you to the list, get
[in touch with us][10]. We'd be happy to help.
[1]: https://docusaurus.io/
[2]: https://docusaurus.io/docs/en/search#docsNav

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@ -56,14 +56,14 @@ It can have this following aspect:
The biggest blue element will be you `DocSearch-content` container. More details
in the following guidelines.
### Implement the right classes as [selectors][3]
### Use the right classes as [selectors][3]
You can add some specific static classes to help us find your content's role.
These classes can not involve any style changes. These dedicated classes will
help us to create a great learn as you type experience from your documentation.
- Add a static class `DocSearch-content` to the main container of your textual
content. It is mostly a `<main/>` or an `<article/>` HTML element.
content. Most of the time, this tag `<main/>` or an `<article/>` HTML element.
- Every searchable `lvl` elements outside this main documentation container (for
instance in a sidebar) must be `global` selectors. They will be globally

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@ -20,8 +20,8 @@ variables. If you don't have an Algolia account, you need to [create one][2].
- `APPLICATION_ID` set to your Algolia Application ID
- `API_KEY` set to your API Key. Make sure to use an API key with **write**
access to your index. [The ACL `addObject`, `editSettings` and
`deleteIndex`][3] must be allowed to this key.
access to your index. It needs [the ACL `addObject`, `editSettings` and
`deleteIndex`][3].
For convenience, you can create a `.env` file in the repository root.
@ -35,14 +35,14 @@ API_KEY=YOUR_API_KEY
You can run a crawl from the packaged Docker image to crawl your website. You
will need to [install jq, a lightweight command-line JSON processor][4]
Then you only need to start the crawl according to your configuration. You
should check the [dedicated configuration documentation][5].
Then you need to start the crawl according to your configuration. You should
check the [dedicated configuration documentation][5].
```sh
docker run -it --env-file=.env -e "CONFIG=$(cat /path/to/your/config.json | jq -r tostring)" algolia/docsearch-scraper
```
Once the crawl is done, you can [jump to the Integration step][6].
Once the scraping finishes, you can [jump to the Integration step][6].
## Running the crawler from the code base

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@ -10,7 +10,7 @@ DocSearch default colorscheme comes in a grey theme with blue highlight.
![Default colorscheme][1]
This theme works well with most websites, but we encourage you to style it to
your own theme. This can be achieved by overriding the CSS classes used by the
your own theme. You can achieved it by overriding the CSS classes used by the
default theme.
The following annotated example will help you style each part:
@ -77,13 +77,13 @@ docsearch({
## Other considerations
Selected suggestions are wrapped in a `.ds-cursor` class. This means that you
can use `.ds-cursor .algolia-docsearch-suggestion--content` to style the
selected suggestion for example.
It wraps selected suggestions in a `.ds-cursor` class. This means that you can
use `.ds-cursor .algolia-docsearch-suggestion--content` to style the selected
suggestion for example.
On small screens, DocSearch reverts to a single column layout, while the
two-column layout shown in the screenshot is used on larger screens. You can add
media queries (for example `@media (min-width: 768px) {}`) to target different
On small screens, DocSearch reverts to a single column layout, while is uses the
two-column layout shown in the screenshot on larger screens. You can add media
queries (for example `@media (min-width: 768px) {}`) to target different
displays.
## Advanced styling
@ -93,8 +93,8 @@ Whether you would like to do more heavy styling, feel free to have a look at the
sizing and breakpoints.
You can generate your own CSS file by cloning the repository and running
`yarn run build:css`. The resulting file will be generated in `./dist/cdn`, and
should be used instead of the default one.
`yarn run build:css`. It generates the resulting file in `./dist/cdn`, and you
should use them instead of the default one.
[1]: ./assets/default-colorscheme.png
[2]: https://www.algolia.com/pricing

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@ -39,8 +39,7 @@ has better relevance in its search results.
Finding the right depth of your documentation tree and how to split-up your
content are two of the most complex tasks. For large documents, we recommend
having 4 levels (from lvl0 until lvl3). Three different levels should be a
minimum.
having 4 levels (from lvl0 until lvl3). We recommend at least three different levels.
\_Note that you don't have to use `<hX>` tags and can use
`<span class="title-X">` for example instead. Your will need to update your set
@ -122,7 +121,7 @@ dataset (for example a different version), you should use [facets][3].
What is clearly thought out is clearly and concisely expressed.
We really recommend that you read this blog post about [how to build a helpful
We highly recommend that you read this blog post about [how to build a helpful
search for technical documentation][2].
[1]: https://www.sitemaps.org/index.html

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@ -5,10 +5,10 @@ title: What is DocSearch?
## Why?
DocSearch is born out of the need to scratch our own itch. As developers, we
spent a lot of time reading documentation, and it can be hard to find relevant
information in large documentations. We're not blaming anyone here; building a
good search is a challenge.
We have created DocSearch because we are scratching our own itch. As
developers, we spent a lot of time reading documentation, and it can be hard to
find relevant information in large documentations. We're not blaming anyone
here; building a good search is a challenge.
It happens that we are a search company and we actually have a lot of experience
building search interfaces. We wanted to use those skills to help others. That's
@ -17,10 +17,9 @@ and make it available to everyone from the first keystroke.
## Quick description
DocSearch itself is made of a crawler and a frontend library. We run the crawler
on our end every 24h to extract content from your website and push it to an
Algolia index. You'll then have to add the frontend library to your website to
redirect all the search requests to this index.
We split DocSearch into a crawler and a frontend library. We run the crawler on
our end every 24h to extract content from your website and push it to an Algolia
index. You can then add the frontend library to your website to search in that index.
## How to feature DocSearch?

View file

@ -3,17 +3,17 @@ layout: two-columns
title: Who can apply?
---
DocSearch was built from the ground up with the idea of improving search on
large technical documentation. For that reason, we are offering a free hosting
version to all online technical documentation.
We built DocSearch from the ground up with the idea of improving search on large
technical documentation. For that reason, we are offering a free hosting version
to all online technical documentation.
We're always sad to have to turn down applications, but with the number of
requests we receive everyday, we've had to focus on several criteria. We hope
you understand.
requests we receive everyday, we've had to focus on fair criteria. We hope you
understand.
## The checklist
To have your request validated, we'll ask that you validate all the following
To have your request validated, we'll ask that you check all the following
points.
- You must be the **owner** of the website, or at least have the power to update
@ -49,10 +49,10 @@ criteria:
- 🙂 If you're using one of our [official integrations][4], creating your config
will be much faster for us.
- ☹️ If your website is rendered in the browser through JavaScript, it means
that we'll have to crawl it through a much slower browser emulation. We highly
recommend that you put in place server-side rendering for the useful textual
content.
- ☹️ If we need to render your website in the browser through JavaScript, it
means that we'll have to crawl it through a much slower browser emulation. We
highly recommend that you put in place server-side rendering for the useful
textual content.
[1]: ./apply.html
[2]: ./run-your-own.html