Node_alchemy NPM

node_alchemy

a promise based shim for AlchemyAPI

Usage:

npm install node_alchemy

The alchemy object is instantiated on initial require, accepting a single argument (the API key).

After instantiation, the primary method exposed is lookup, which accepts four arguments:

alchemy.lookup(CALL_TYPE, INPUT_TYPE, INPUT_DATA, OPTIONS)

The lookup method returns a promise, which can be handled typically:

var alchemy = require('node_alchemy')(YOUR_API_KEY);

  alchemy.lookup('keywords', 'url', someURL)
    .then(function (result) {
      res.json(result);
    })
    .catch(function (err) {
      res.json({status: 'error', message: err});
    });

entities

alchemy.lookup('entities', INPUT_TYPE, INPUT_DATA, OPTIONS)

Extracts the entities for text, a URL or HTML.

For an overview, please refer to: http://www.alchemyapi.com/products/features/entity-extraction/
For the docs, please refer to: http://www.alchemyapi.com/api/entity-extraction/

ARGS:

INPUT_TYPE -> which version of the call, i.e. text, url or html.
INPUT_DATA -> the data to analyze, either the text, the url or html code.
OPTIONS -> various parameters that can be used to adjust how the API works, see below for more info on the available options.

Available Options:

disambiguate -> disambiguate entities (i.e. Apple the company vs. apple the fruit). 0: disabled, 1: enabled (default)
linkedData -> include linked data on disambiguated entities. 0: disabled, 1: enabled (default)
coreference -> resolve coreferences (i.e. the pronouns that correspond to named entities). 0: disabled, 1: enabled (default)
quotations -> extract quotations by entities. 0: disabled (default), 1: enabled.
sentiment -> analyze sentiment for each entity. 0: disabled (default), 1: enabled. Requires 1 additional API transction if enabled.
showSourceText -> 0: disabled (default), 1: enabled
maxRetrieve -> the maximum number of entities to retrieve (default: 50)

keywords

alchemy.lookup('keywords', INPUT_TYPE, INPUT_DATA, OPTIONS)

Extracts the keywords from text, a URL or HTML.

For an overview, please refer to: http://www.alchemyapi.com/products/features/keyword-extraction/
For the docs, please refer to: http://www.alchemyapi.com/api/keyword-extraction/

ARGS:

INPUT_TYPE -> which version of the call, i.e. text, url or html.
INPUT_DATA -> the data to analyze, either the text, the url or html code.
OPTIONS -> various parameters that can be used to adjust how the API works, see below for more info on the available options.

Available Options:

keywordExtractMode -> normal (default), strict
sentiment -> analyze sentiment for each keyword. 0: disabled (default), 1: enabled. Requires 1 additional API transaction if enabled.
showSourceText -> 0: disabled (default), 1: enabled.
maxRetrieve -> the max number of keywords returned (default: 50)

concepts

alchemy.lookup('concepts', INPUT_TYPE, INPUT_DATA, OPTIONS)

Tags the concepts for text, a URL or HTML.

For an overview, please refer to: http://www.alchemyapi.com/products/features/concept-tagging/
For the docs, please refer to: http://www.alchemyapi.com/api/concept-tagging/

ARGS:

INPUT_TYPE -> which version of the call, i.e. text, url or html.
INPUT_DATA -> the data to analyze, either the text, the url or html code.
OPTIONS -> various parameters that can be used to adjust how the API works, see below for more info on the available options.

Available Options:

maxRetrieve -> the maximum number of concepts to retrieve (default: 8)
linkedData -> include linked data, 0: disabled, 1: enabled (default)
showSourceText -> 0:disabled (default), 1: enabled

sentiment

alchemy.lookup('sentiment', INPUT_TYPE, INPUT_DATA, OPTIONS)

Calculates the sentiment for text, a URL or HTML.

For an overview, please refer to: http://www.alchemyapi.com/products/features/sentiment-analysis/
For the docs, please refer to: http://www.alchemyapi.com/api/sentiment-analysis/

ARGS:

INPUT_TYPE -> which version of the call, i.e. text, url or html.
INPUT_DATA -> the data to analyze, either the text, the url or html code.
OPTIONS -> various parameters that can be used to adjust how the API works, see below for more info on the available options.

Available Options:

showSourceText -> 0: disabled (default), 1: enabled

sentiment_targeted

alchemy.lookup('sentiment_targeted', INPUT_TYPE, INPUT_DATA, OPTIONS)

Calculates the targeted sentiment for text, a URL or HTML.

For an overview, please refer to: http://www.alchemyapi.com/products/features/sentiment-analysis/
For the docs, please refer to: http://www.alchemyapi.com/api/sentiment-analysis/

ARGS:

INPUT_TYPE -> which version of the call, i.e. text, url or html.
INPUT_DATA -> the data to analyze, either the text, the url or html code.
target -> the word or phrase to run sentiment analysis on.
OPTIONS -> various parameters that can be used to adjust how the API works, see below for more info on the available options.

Available Options:

showSourceText -> 0: disabled, 1: enabled

text

alchemy.lookup('text', INPUT_TYPE, INPUT_DATA, OPTIONS)

Extracts the cleaned text (removes ads, navigation, etc.) for a URL or HTML.

For an overview, please refer to: http://www.alchemyapi.com/products/features/text-extraction/
For the docs, please refer to: http://www.alchemyapi.com/api/text-extraction/

ARGS:

INPUT_TYPE -> which version of the call, i.e. url or html.
INPUT_DATA -> the data to analyze, either the url or html code.
OPTIONS -> various parameters that can be used to adjust how the API works, see below for more info on the available options.

Available Options:

useMetaINPUT_DATA -> utilize meta description data, 0: disabled, 1: enabled (default)
extractLinks -> include links, 0: disabled (default), 1: enabled.

text_raw

alchemy.lookup('text_raw', INPUT_TYPE, INPUT_DATA, OPTIONS)

Extracts the raw text (includes ads, navigation, etc.) for a URL or HTML.

For an overview, please refer to: http://www.alchemyapi.com/products/features/text-extraction/
For the docs, please refer to: http://www.alchemyapi.com/api/text-extraction/

ARGS:

INPUT_TYPE -> which version of the call, i.e. url or html.
INPUT_DATA -> the data to analyze, either the url or html code.
OPTIONS -> various parameters that can be used to adjust how the API works, see below for more info on the available options.

Available Options:

none

author

alchemy.lookup('author', INPUT_TYPE, INPUT_DATA, OPTIONS)

Extracts the author from a URL or HTML.

For an overview, please refer to: http://www.alchemyapi.com/products/features/author-extraction/
For the docs, please refer to: http://www.alchemyapi.com/api/author-extraction/

ARGS:

INPUT_TYPE -> which version of the call, i.e. url or html.
INPUT_DATA -> the data to analyze, either the the url or html code.
OPTIONS -> various parameters that can be used to adjust how the API works, see below for more info on the available options.

Availble Options:

none

language

alchemy.lookup('language', INPUT_TYPE, INPUT_DATA, OPTIONS)

Detects the language for text, a URL or HTML.

For an overview, please refer to: http://www.alchemyapi.com/api/language-detection/
For the docs, please refer to: http://www.alchemyapi.com/products/features/language-detection/

ARGS:

INPUT_TYPE -> which version of the call, i.e. text, url or html.
INPUT_DATA -> the data to analyze, either the text, the url or html code.
OPTIONS -> various parameters that can be used to adjust how the API works, see below for more info on the available options.

Available Options:

none

title

alchemy.lookup('title', INPUT_TYPE, INPUT_DATA, OPTIONS)

Extracts the title for a URL or HTML.

For an overview, please refer to: http://www.alchemyapi.com/products/features/text-extraction/
For the docs, please refer to: http://www.alchemyapi.com/api/text-extraction/

ARGS:

INPUT_TYPE -> which version of the call, i.e. url or html.
INPUT_DATA -> the data to analyze, either the url or html code.
OPTIONS -> various parameters that can be used to adjust how the API works, see below for more info on the available options.

Available Options:

useMetaINPUT_DATA -> utilize title info embedded in meta data, 0: disabled, 1: enabled (default)

relations

alchemy.lookup('relations', INPUT_TYPE, INPUT_DATA, OPTIONS)

Extracts the relations for text, a URL or HTML.

For an overview, please refer to: http://www.alchemyapi.com/products/features/relation-extraction/
For the docs, please refer to: http://www.alchemyapi.com/api/relation-extraction/

ARGS:

INPUT_TYPE -> which version of the call, i.e. text, url or html.
INPUT_DATA -> the data to analyze, either the text, the url or html code.
OPTIONS -> various parameters that can be used to adjust how the API works, see below for more info on the available options.

Available Options:

sentiment -> 0: disabled (default), 1: enabled. Requires one additional API transaction if enabled.
keywords -> extract keywords from the subject and object. 0: disabled (default), 1: enabled. Requires one additional API transaction if enabled.
entities -> extract entities from the subject and object. 0: disabled (default), 1: enabled. Requires one additional API transaction if enabled.
requireEntities -> only extract relations that have entities. 0: disabled (default), 1: enabled.
sentimentExcludeEntities -> exclude full entity name in sentiment analysis. 0: disabled, 1: enabled (default)
disambiguate -> disambiguate entities (i.e. Apple the company vs. apple the fruit). 0: disabled, 1: enabled (default)
linkedData -> include linked data with disambiguated entities. 0: disabled, 1: enabled (default).
coreference -> resolve entity coreferences. 0: disabled, 1: enabled (default)
showSourceText -> 0: disabled (default), 1: enabled.
maxRetrieve -> the maximum number of relations to extract (default: 50, max: 100)

feeds

alchemy.lookup('feeds', INPUT_TYPE, INPUT_DATA, OPTIONS)

Detects the RSS/ATOM feeds for a URL or HTML.

For an overview, please refer to: http://www.alchemyapi.com/products/features/feed-detection/
For the docs, please refer to: http://www.alchemyapi.com/api/feed-detection/

ARGS:

INPUT_TYPE -> which version of the call, i.e. url or html.
INPUT_DATA -> the data to analyze, either the the url or html code.
OPTIONS -> various parameters that can be used to adjust how the API works, see below for more info on the available options.

Available Options:

none

microformats

alchemy.lookup('microformats', INPUT_TYPE, INPUT_DATA, OPTIONS)

Parses the microformats for a URL or HTML.

For an overview, please refer to: http://www.alchemyapi.com/products/features/microformats-parsing/
For the docs, please refer to: http://www.alchemyapi.com/api/microformats-parsing/

ARGS:

INPUT_TYPE -> which version of the call, i.e. url or html.
INPUT_DATA -> the data to analyze, either the the url or html code.
OPTIONS -> various parameters that can be used to adjust how the API works, see below for more info on the available options.

Available Options:

none

taxonomy

alchemy.lookup('taxonomy', INPUT_TYPE, INPUT_DATA, OPTIONS)

Categorized through the taxonomy call for text, HTML, or a URL.

ARGS:

INPUT_TYPE -> which version of the call (currently, only 'url' is supported)
INPUT_DATA -> the data to analyze, either the the url or html code.
OPTIONS -> various parameters that can be used to adjust how the API works, see below for more info on the available options.

Available Options:

showSourceText -> 0: disabled (default), 1: enabled.

combined

alchemy.lookup('combined', INPUT_TYPE, INPUT_DATA, OPTIONS)

Extracts the combined call for a URL.

ARGS:

INPUT_TYPE -> which version of the call (currently, only 'url' is supported)
INPUT_DATA -> the data to analyze, either the the url or html code.
OPTIONS -> various parameters that can be used to adjust how the API works, see below for more info on the available options.

Available Options:

extract -> VALUE,VALUE,VALUE,... (possible VALUEs: page-image,entity,keyword,title,author,taxonomy,concept,relation,doc-sentiment)
extractMode -> (only applies when 'page-image' VALUE passed to 'extract' option)
trust-metadata: less CPU-intensive, less accurate
always-infer: more CPU-intensive, more accurate
disambiguate -> whether to disambiguate detected entities, 0: disabled, 1: enabled (default)
linkedData -> whether to include Linked Data content links with disambiguated entities, 0: disabled, 1: enabled (default). disambiguate must be enabled to use this.
coreference -> whether to he/she/etc coreferences into detected entities, 0: disabled, 1: enabled (default)
quotations -> whether to enable quotations extraction, 0: disabled (default), 1: enabled
sentiment -> whether to enable entity-level sentiment analysis, 0: disabled (default), 1: enabled. Requires one additional API transaction if enabled.
showSourceText -> 0: disabled (default), 1: enabled.
maxRetrieve -> maximum number of named entities to extract (default: 50)

image

alchemy.lookup('image', INPUT_TYPE, INPUT_DATA, OPTIONS)

Extracts images from a URL.

ARGS:

INPUT_TYPE -> which version of the call (currently, only 'url' is supported)
INPUT_DATA -> the data to analyze, either the the url or html code.
OPTIONS -> various parameters that can be used to adjust how the API works, see below for more info on the available options.

Available Options:

extractMode -> trust-metadata: less CPU-intensive and less accurate, always-infer: more CPU-intensive and more accurate

image_keywords

alchemy.lookup('image_keywords', INPUT_TYPE, INPUT_DATA, OPTIONS)

Tags image with keywords

INPUT:

INPUT_TYPE -> which version of the call (currently, only 'url' or 'image' is supported)
INPUT_DATA -> the URL to the data to analyze.
OPTIONS -> various parameters that can be used to adjust how the API works, see below for more info on the available options.

Available Options:

extractMode -> trust-metadata: less CPU-intensive and less accurate, always-infer: more CPU-intensive and more accurate
imagePostMode -> not-raw: pass an unencoded image file with "image=URI_ENCODED_DATA"; raw: pass an unencoded image file using POST ('image' flavor only).

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