About Data Fetcher

Data Fetcher is a no-code API connector that imports data from various sources directly into Airtable, allowing users to automate data integration without manual imports. It enables both no-coders and developers to create custom API requests, schedule automatic updates, and maintain Airtable as a centralized data repository.

```xml <problem> Airtable users often need to integrate data from external sources, which typically requires manual data entry, custom scripting, or the use of complex integration platforms. These methods can be time-consuming, error-prone, and require technical expertise, hindering efficient data management and automation within Airtable. </problem> <solution> Data Fetcher is an Airtable extension that allows users to connect to any REST or GraphQL API and import data directly into their Airtable bases without coding. The extension simplifies data integration by providing a user-friendly interface to create custom API requests, map data fields, and schedule automatic data updates. By centralizing data from various sources within Airtable, Data Fetcher enables users to automate workflows, improve data accuracy, and make data-driven decisions more efficiently. </solution> <features> - Connects Airtable to any REST or GraphQL API, JSON, CSV, or XML file. - Allows referencing Airtable data in API requests (e.g., using a table of stock tickers to fetch current prices). - Automates pagination for APIs, creating paginated URLs or request bodies automatically. - Supports POST requests with JSON, XML, GraphQL, x-www-form-urlencoded, and form-data request bodies. - Enables importing requests from cURL commands or previously exported requests. - Schedules automatic data updates, with run frequencies as low as every 5 minutes. - Supports triggering requests based on events like form submissions or record updates using webhooks. - Offers team collaboration features with role-based permissions and API key protection. - Encrypts sensitive details such as URLs, headers, API keys, and access tokens. </features> <target_audience> Data Fetcher is designed for no-code users, developers, and teams in finance, operations, and marketing who need to integrate external data into Airtable for automation, reporting, and analysis. </target_audience> <revenue_model> Data Fetcher offers a tiered subscription model, including a free plan and paid plans ranging from $12 to $112 per month, based on the number of runs, response records, users, and features required. </revenue_model> ```

What does Data Fetcher do?

Where is Data Fetcher located?

Data Fetcher is based in London, United Kingdom.

When was Data Fetcher founded?

Data Fetcher was founded in 2020.

Location

London, United Kingdom

Founded

2020

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Data Fetcher

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Executive Summary

datafetcher.com LinkedIn Profile

Founded 2020 – London, United Kingdom

Funding

No funding information available.

Team

No team information available.

Company Description

Problem

Airtable users often need to integrate data from external sources, which typically requires manual data entry, custom scripting, or the use of complex integration platforms. These methods can be time-consuming, error-prone, and require technical expertise, hindering efficient data management and automation within Airtable.

Solution

Data Fetcher is an Airtable extension that allows users to connect to any REST or GraphQL API and import data directly into their Airtable bases without coding. The extension simplifies data integration by providing a user-friendly interface to create custom API requests, map data fields, and schedule automatic data updates. By centralizing data from various sources within Airtable, Data Fetcher enables users to automate workflows, improve data accuracy, and make data-driven decisions more efficiently.

Features

Connects Airtable to any REST or GraphQL API, JSON, CSV, or XML file.

Allows referencing Airtable data in API requests (e.g., using a table of stock tickers to fetch current prices).

Automates pagination for APIs, creating paginated URLs or request bodies automatically.

Supports POST requests with JSON, XML, GraphQL, x-www-form-urlencoded, and form-data request bodies.

Enables importing requests from cURL commands or previously exported requests.

Schedules automatic data updates, with run frequencies as low as every 5 minutes.

Supports triggering requests based on events like form submissions or record updates using webhooks.

Offers team collaboration features with role-based permissions and API key protection.

Encrypts sensitive details such as URLs, headers, API keys, and access tokens.

Target Audience

Data Fetcher is designed for no-code users, developers, and teams in finance, operations, and marketing who need to integrate external data into Airtable for automation, reporting, and analysis.

Revenue Model

Data Fetcher offers a tiered subscription model, including a free plan and paid plans ranging from $12 to $112 per month, based on the number of runs, response records, users, and features required.