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Firestore Import

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Firestore Import

Firestore Import

Developed by

Apify

Maintained by Apify

Seamlessly import data from Apify datasets into Firebase Firestore database. This integration allows full control over document IDs, conflict resolution (overwrite, merge, skip), and data transformation using a custom JavaScript function.

5.0 (4)

Pricing

Pay per usage

3

Monthly users

1

Runs succeeded

67%

Last modified

a month ago

You can access the Firestore Import programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

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133        "required": [
134          "serviceAccountKey",
135          "collection",
136          "datasetId",
137          "databaseName",
138          "documentConflictResolution",
139          "batchSize"
140        ],
141        "properties": {
142          "serviceAccountKey": {
143            "title": "Service Account Key",
144            "type": "string",
145            "description": "Service account key in JSON format. You can get it from *Firebase Console* -> *Project Settings* -> *Service accounts* -> *Generate new private key*. Paste the whole JSON string here."
146          },
147          "datasetId": {
148            "title": "Dataset ID",
149            "type": "string",
150            "description": "ID of the Apify dataset to import data from."
151          },
152          "collection": {
153            "title": "Collection",
154            "type": "string",
155            "description": "Firestore collection to import data to. If it doesn't exist, it will be created. Note: you can customize the collection for each document using the `transformFunction` input. This can be useful when you want to import data to sub-collections."
156          },
157          "databaseName": {
158            "title": "Database Name",
159            "type": "string",
160            "description": "Name of the Firestore database. If not provided, the default database (`\"(default)\"`) will be used.",
161            "default": "(default)"
162          },
163          "idField": {
164            "title": "ID Field",
165            "type": "string",
166            "description": "Field in the dataset item that will be used as a Firestore document ID. If not provided, all documents will be created with a random ID generated by Firestore (it means that value of `documentConflictResolution` is ignored in that case). This is useful when you want to update existing documents in Firestore. Note: you can customize the ID for each document independently using the `transformFunction` input field."
167          },
168          "documentConflictResolution": {
169            "title": "Document Conflict Resolution",
170            "enum": [
171              "overwrite",
172              "merge",
173              "skip"
174            ],
175            "type": "string",
176            "description": "How to handle conflicts when importing data to Firestore:\n- *overwrite*: replace existing Firestore documents with the same ID.\n- *merge*: merge data from the dataset items with existing Firestore documents.\n- *skip*: documents with existing IDs will be skipped.\n⚠️ Please note that the *skip* resolution has really bad performance on large scale and can't use batch writes.",
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183          },
184          "batchSize": {
185            "title": "Batch Size",
186            "type": "integer",
187            "description": "Number of items to import in a single batch. Lower values are safer but slower, see [Firestore limits](https://firebase.google.com/docs/firestore/quotas) (10 MiB batch write). Please note that *skip* conflict resolution does not use batch writes and will always import one item at a time.",
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Firestore Import OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for Firestore Import from the options below:

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

Pricing

Pricing model

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage.