Add Document

Add a new document to your library via scraping or raw text

POST /library/{library_id}/document

Add Document

cURL

curl --request POST \
  --url https://api.libraria.ai/library/{library_id}/document \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "url": "<string>",
  "text": "<string>",
  "title": "<string>",
  "sourceUrl": "<string>",
  "imageSnippet": "<string>"
}
'

import requests

url = "https://api.libraria.ai/library/{library_id}/document"

payload = {
    "url": "<string>",
    "text": "<string>",
    "title": "<string>",
    "sourceUrl": "<string>",
    "imageSnippet": "<string>"
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    url: '<string>',
    text: '<string>',
    title: '<string>',
    sourceUrl: '<string>',
    imageSnippet: '<string>'
  })
};

fetch('https://api.libraria.ai/library/{library_id}/document', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.libraria.ai/library/{library_id}/document",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'url' => '<string>',
    'text' => '<string>',
    'title' => '<string>',
    'sourceUrl' => '<string>',
    'imageSnippet' => '<string>'
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.libraria.ai/library/{library_id}/document"

	payload := strings.NewReader("{\n  \"url\": \"<string>\",\n  \"text\": \"<string>\",\n  \"title\": \"<string>\",\n  \"sourceUrl\": \"<string>\",\n  \"imageSnippet\": \"<string>\"\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://api.libraria.ai/library/{library_id}/document")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"url\": \"<string>\",\n  \"text\": \"<string>\",\n  \"title\": \"<string>\",\n  \"sourceUrl\": \"<string>\",\n  \"imageSnippet\": \"<string>\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.libraria.ai/library/{library_id}/document")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"url\": \"<string>\",\n  \"text\": \"<string>\",\n  \"title\": \"<string>\",\n  \"sourceUrl\": \"<string>\",\n  \"imageSnippet\": \"<string>\"\n}"

response = http.request(request)
puts response.read_body

Example Response

{
  "status": "queued",
  "message": "Your document is being processed"
}

Parameters

library_id · string · required

The ID of the library to add the document to

Body

You may choose one of:

1. A URL to scrape
2. A raw text document

If you add both a url and a raw text document, an error will be returned.

Scrape URL

url · string

The url to scrape from

Raw text

text · string

The text body of the document you want to add

title · string

The text body of the document you want to add

sourceUrl · string

The source of the document. Used for the ‘Learn More’ snippet

imageSnippet · string

The url of the image snippet you want to add in responses

Response

status · string

One of queued, success, failed

message · string

Example Response

{
  "status": "queued",
  "message": "Your document is being processed"
}