← RSS + Exa (Formerly Metaphor) integrations

Search with Exa (Formerly Metaphor) API on New Item in Feed from RSS API

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New Item in Feed from the RSS API
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Search with the Exa (Formerly Metaphor) API
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Getting Started

This integration creates a workflow with a RSS trigger and Exa (Formerly Metaphor) action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

  1. Select this integration
  2. Configure the New Item in Feed trigger
    1. Connect your RSS account
    2. Configure timer
    3. Configure Feed URL
    4. Configure Published After
  3. Configure the Search action
    1. Connect your Exa (Formerly Metaphor) account
    2. Configure Query
    3. Optional- Configure Number Of Results
    4. Optional- Configure Include Domains
    5. Optional- Configure Exclude Domains
    6. Optional- Configure Start Crawl Date
    7. Optional- Configure End Crawl Date
    8. Optional- Configure Start Published Date
    9. Optional- Configure End Published Date
    10. Configure Use Autoprompt
    11. Optional- Select a Type
  4. Deploy the workflow
  5. Send a test event to validate your setup
  6. Turn on the trigger

Details

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Trigger

Description:Emit new items from an RSS feed
Version:1.2.7
Key:rss-new-item-in-feed

RSS Overview

The RSS app allows users to automatically fetch and parse updates from web feeds. This functionality is pivotal for staying abreast of content changes or updates from websites, blogs, and news outlets that offer RSS feeds. With Pipedream, you can harness the RSS API to trigger workflows that enable a broad range of automations, like content aggregation, monitoring for specific keywords, notifications, and data synchronization across platforms.

Trigger Code

import { defineSource } from "@pipedream/types";
import rss from "../../app/rss.app.mjs";
import rssCommon from "../common/common.mjs";
export default defineSource({
    ...rssCommon,
    key: "rss-new-item-in-feed",
    name: "New Item in Feed",
    description: "Emit new items from an RSS feed",
    version: "1.2.7",
    type: "source",
    dedupe: "unique",
    props: {
        ...rssCommon.props,
        url: {
            propDefinition: [
                rss,
                "url",
            ],
        },
        publishedAfter: {
            type: "string",
            label: "Published After",
            description: "Emit items published after the specified date in ISO 8601 format .e.g `2022-12-07T12:57:10+07:00`",
            default: new Date(Date.now() - 24 * 60 * 60 * 1000).toISOString(), // default to one day ago
        },
    },
    hooks: {
        async activate() {
            // Try to parse the feed one time to confirm we can fetch and parse.
            // The code will throw any errors to the user.
            await this.rss.fetchAndParseFeed(this.url);
        },
    },
    methods: {
        ...rssCommon.methods,
        generateMeta: function (item) {
            return {
                id: this.rss.itemKey(item),
                summary: item.title,
                ts: Date.now(),
            };
        },
    },
    async run() {
        const items = await this.rss.fetchAndParseFeed(this.url);
        for (const item of items.reverse()) {
            const publishedAfter = +new Date(this.publishedAfter);
            const ts = this.rss.itemTs(item);
            if (Number.isNaN(publishedAfter) || publishedAfter > ts) {
                continue;
            }
            const meta = this.generateMeta(item);
            this.$emit(item, meta);
        }
    },
});

Trigger Configuration

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.
LabelPropTypeDescription
RSSrssappThis component uses the RSS app.
timer$.interface.timer

How often you want to poll the feed for new items

Feed URLurlstring

Enter the URL for any public RSS feed

Published AfterpublishedAfterstring

Emit items published after the specified date in ISO 8601 format .e.g 2022-12-07T12:57:10+07:00

Trigger Authentication

The RSS API does not require authentication.

About RSS

Real Simple Syndication

Action

Description:Perform a search with a Metaphor prompt-engineered query and retrieve a list of relevant results. [See the documentation](https://docs.metaphor.systems/reference/search)
Version:0.0.1
Key:metaphor-search

Exa (Formerly Metaphor) Overview

The Exa (Formerly Metaphor) API enables you to enrich your applications with machine learning-powered insights and data processing capabilities. With Exa, you can perform advanced data analysis, extract meaningful patterns, and automate decision-making processes within your projects. By integrating this API with Pipedream, you can create seamless workflows that leverage these intelligent features alongside other services to streamline your operations, enhance data intelligence, and drive innovation.

Action Code

import metaphor from "../../metaphor.app.mjs";

export default {
  key: "metaphor-search",
  name: "Search",
  version: "0.0.1",
  description: "Perform a search with a Metaphor prompt-engineered query and retrieve a list of relevant results. [See the documentation](https://docs.metaphor.systems/reference/search)",
  type: "action",
  props: {
    metaphor,
    query: {
      propDefinition: [
        metaphor,
        "query",
      ],
    },
    numResults: {
      propDefinition: [
        metaphor,
        "numResults",
      ],
      optional: true,
    },
    includeDomains: {
      propDefinition: [
        metaphor,
        "includeDomains",
      ],
      optional: true,
    },
    excludeDomains: {
      propDefinition: [
        metaphor,
        "excludeDomains",
      ],
      optional: true,
    },
    startCrawlDate: {
      propDefinition: [
        metaphor,
        "startCrawlDate",
      ],
      optional: true,
    },
    endCrawlDate: {
      propDefinition: [
        metaphor,
        "endCrawlDate",
      ],
      optional: true,
    },
    startPublishedDate: {
      propDefinition: [
        metaphor,
        "startPublishedDate",
      ],
      optional: true,
    },
    endPublishedDate: {
      propDefinition: [
        metaphor,
        "endPublishedDate",
      ],
      optional: true,
    },
    useAutoprompt: {
      propDefinition: [
        metaphor,
        "useAutoprompt",
      ],
    },
    type: {
      propDefinition: [
        metaphor,
        "type",
      ],
      optional: true,
    },
  },
  async run({ $ }) {
    const {
      metaphor,
      ...data
    } = this;

    const response = await metaphor.search({
      $,
      data,
    });

    $.export("$summary", `${response.results.length} result${response.results.length > 1
      ? "s were"
      : " was"} successfully fetched!`);
    return response;
  },
};

Action Configuration

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI.

LabelPropTypeDescription
Exa (Formerly Metaphor)metaphorappThis component uses the Exa (Formerly Metaphor) app.
Queryquerystring

The query string. On the web, people often recommend content - it's vital that the query takes the form of a declarative suggestion, where a high quality search result link would follow.

Number Of ResultsnumResultsinteger

Number of search results to return. Default 10. Up to 30 for basic plans. Up to thousands for custom plans.

Include DomainsincludeDomainsstring[]

List of domains to include in the search. If specified, results will only come from these domains. Only one of includeDomains and excludeDomains should be specified.

Exclude DomainsexcludeDomainsstring[]

List of domains to exclude in the search. If specified, results will only come from these domains. Only one of includeDomains and excludeDomains should be specified.

Start Crawl DatestartCrawlDatestring

"Crawl date" refers to the date that Metaphor discovered a link, which is more granular and can be more useful than published date. If startCrawlDate is specified, results will only include links that were crawled after startCrawlDate. Must be specified in ISO 8601 format (YYYY-MM-DDTHH:MM:SSZ)

End Crawl DateendCrawlDatestring

"Crawl date" refers to the date that Metaphor discovered a link, which is more granular and can be more useful than published date. If endCrawlDate is specified, results will only include links that were crawled before endCrawlDate. Must be specified in ISO 8601 format (YYYY-MM-DDTHH:MM:SSZ)

Start Published DatestartPublishedDatestring

If specified, only links with a published date after startPublishedDate will be returned. Must be specified in ISO 8601 format (YYYY-MM-DDTHH:MM:SSZ). Note that for some links, we have no published date, and these links will be excluded from the results if startPublishedDate is specified.

End Published DateendPublishedDatestring

If specified, only links with a published date before endPublishedDate will be returned. Must be specified in ISO 8601 format (YYYY-MM-DDTHH:MM:SSZ). Note that for some links, we have no published date, and these links will be excluded from the results if endPublishedDate is specified.

Use AutopromptuseAutopromptboolean

The url for which you would like to find similar links.

TypetypestringSelect a value from the drop down menu:keywordneural

Action Authentication

Exa (Formerly Metaphor) uses API keys for authentication. When you connect your Exa (Formerly Metaphor) account, Pipedream securely stores the keys so you can easily authenticate to Exa (Formerly Metaphor) APIs in both code and no-code steps.

Navigate to the overview tab to find your API key, and enter it below.

About Exa (Formerly Metaphor)

Search Rebuilt for AI. The Exa API retrieves the best content on the web using embeddings-based search.

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