Connect Google Natural Language and PhantomBuster integrations
Connect Google Natural Language and PhantomBuster with any of your favorite apps in just a few clicks. Design, build, and automate anything for your work by integrating apps like Google Natural Language and PhantomBuster to create visual automated workflows. Choose from thousands of ready-made apps or use our no-code toolkit to connect to apps not yet in our library.
Searches entities in the text along with entity types, salience, mentions for each entity, and other properties.
Searches entities in the text and analyzes sentiment associated with each entity and its mentions.
Analyzes the sentiment of the provided text.
Analyzes the syntax of the text and provides sentence boundaries and tokenization along with part of speech tags, dependency trees, and other properties.
Classifies a document into categories.
Performs an arbitrary authorized API call.
Downloads the JSON result object associated with a container.
Gets the output of the most recent container of a specified Phantom.
Gets metadata of a specified phantom.
Launches a specified Phantom.
Performs an arbitrary authorized API call.
Retrieves a list of all Phantoms
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Build your Google Natural Language and PhantomBuster integrations.
Create custom Google Natural Language and PhantomBuster workflows by choosing triggers, actions, and searches. A trigger is an event that launches the workflow, an action is the event.
Searches entities in the text along with entity types, salience, mentions for each entity, and other properties.
Searches entities in the text and analyzes sentiment associated with each entity and its mentions.
Analyzes the sentiment of the provided text.
Analyzes the syntax of the text and provides sentence boundaries and tokenization along with part of speech tags, dependency trees, and other properties.
Classifies a document into categories.
Downloads the JSON result object associated with a container.
Gets metadata of a specified phantom.
Gets the output of the most recent container of a specified Phantom.
Launches a specified Phantom.
Popular Google Natural Language and PhantomBuster workflows.
Looking to get more out of Google Natural Language and PhantomBuster? With Make you can visually integrate Google Natural Language and PhantomBuster into any workflow to save time and resources — no coding required. Try any of these templates in just a few clicks.
Analyze articles with Google Natural Language and save the results as a CSV file
Every time a new article is created in an RSS feed, Make will automatically analyze the text content. Then, the results are iterated and saved as a CSV file in your Google Drive folder.
TRY IT ->Add Phantombuster phantom results to Google Sheets
Use this template to automatically import Phantombuster phantom results to Google Sheets. Please note that the Phantombuster 'Watch an Output' module returns only 1 (the most recent) phantom output so schedule it in accordance with your Phantombuster scheduling. You can change the scheduling settings by clicking on the clock on the first module.
TRY IT ->Update Airtable records with Phantombuster phantom output data (including CSV result file)
Automatically update an Airtable record with the output data from Phantombuster and upload the result CSV file. The template is supposed to be used as an extension in combination with this [template](https://www.Make.com/en/integration/6304-launch-phantombuster-phantoms-from-airtable). If you want to use it as a stand-alone scenario, replace the last 2 modules with the Airtable 'Create a Record' module.
TRY IT ->Update Notion database items with Phantombuster phantom output data (CSV and JSON results download links)
Automatically update a Notion database item (page) with the output data (download links with CSV and JSON results) from Phantombuster. The template is supposed to be used as an extension in combination with this [template](https://www.Make.com/en/integration/6306-launch-phantombuster-phantoms-from-notion). If you want to use it as a stand-alone scenario, replace the last 2 modules with the Notion 'Create a Database Item' module.
TRY IT ->Launch Phantombuster phantoms from Airtable
Use this template to automatically launch a Phantombuster phantom when an Airtable record is modified. The Airtable record will also be updated with the phantom's Container ID so you can find this record and add result data to it using this [scenario](https://www.Make.com/en/integration/6305-update-airtable-records-with-phantombuster-phantom-output-data-including-csv-result-file). Your Airtable table has to include a field of type 'Last modified time'. We recommend setting it up the way that it changes when a specified field (a trigger - you can name it 'Launch phantom' and it can be of type 'Checkbox' for example) is updated.
TRY IT ->Launch Phantombuster phantoms from Notion
Use this template to automatically launch a Phantombuster phantom when a new Notion database item (page) is created. The database item will also be updated with the phantom's Container ID so you can find this item and add result data to it using this [scenario](https://www.Make.com/en/integration/6307-update-notion-database-items-with-phantombuster-phantom-output-data-csv-and-json-results-download-links).
TRY IT ->Analyze texts with Google Natural Language and save the results in Google Sheets
This template helps you analyze texts with Google Natural Language. Then, Make will automatically save the result in Google Sheets. The template uses this [example spreadsheet](https://docs.google.com/spreadsheets/d/13b_XyTbUCR5zxJ_9C3kDEWwI8oSx_BEPISKmuHF1s3o/edit?usp=sharing).
TRY IT ->Analyze new GCS objects with Google Natural Language and save the results in Firestore
Every time an object is created in a specified Google Cloud Storage bucket, Make will automatically analyze its content (sentiment analysis). Then, the results are saved in your Firestore database.
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