Search Candidates with Recruiterflow 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 Candidates with the Recruiterflow API

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Getting Started#

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

Select this integration
Configure the New Item in Feed trigger
1. Connect your RSS account
2. Configure timer
3. Configure Feed URL
4. Configure Published After
Configure the Search Candidates action
1. Connect your Recruiterflow account
2. Select a Conjunction
3. Optional- Configure Filters
4. Configure Items Per Page
5. Configure Current Page
6. Optional- Configure Include Count
7. Optional- Configure Name
8. Optional- Configure Email
9. Optional- Configure Text Search
10. Optional- Configure Include Notes in Text Search
11. Optional- Configure Include Files in Text Search
12. Optional- Configure Include Emails in Text Search
13. Optional- Configure Skills
14. Optional- Configure Job Title
15. Optional- Configure Current Company
16. Optional- Configure Phone Number
17. Optional- Configure LinkedIn Profile
18. Optional- Configure School
Deploy the workflow
Send a test event to validate your setup
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#

New Item in Feed on RSS

Description:Emit new items from an RSS feed

Version:1.2.9

Key:rss-new-item-in-feed

View on GitHub

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: "1.2.9",
    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.

Label	Prop	Type	Description
RSS	`rss`	`app`	This component uses the RSS app.
	`timer`	`$.interface.timer`	How often you want to poll the feed for new items
Feed URL	`url`	`string`	Enter the URL for any public RSS feed
Published After	`publishedAfter`	`string`	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#

Search Candidates on Recruiterflow

Description:Searches for candidates matching specified criteria in Recruiterflow. Supports both simple searches and advanced filter arrays. [See the documentation](https://recruiterflow.com/swagger.yml)

Version:0.0.1

Key:recruiterflow-search-candidates

View on GitHub

Action Code#

import app from "../../recruiterflow.app.mjs";
import utils from "../../common/utils.mjs";

export default {
  key: "recruiterflow-search-candidates",
  name: "Search Candidates",
  description: "Searches for candidates matching specified criteria in Recruiterflow. Supports both simple searches and advanced filter arrays. [See the documentation](https://recruiterflow.com/swagger.yml)",
  version: "0.0.1",
  type: "action",
  props: {
    app,
    conjunction: {
      type: "string",
      label: "Conjunction",
      description: "How to combine multiple filters",
      options: [
        {
          label: "Match All (AND)",
          value: "match-all",
        },
        {
          label: "Match Any (OR)",
          value: "match-any",
        },
      ],
      default: "match-all",
    },
    filters: {
      type: "string[]",
      label: "Filters",
      description: "Array of filter objects as JSON strings. Each filter should have `type`, `key`, and other properties based on filter type. Example: `{\"type\": \"text\", \"conjunction\": \"in\", \"values\": [\"John\"], \"key\": \"name\"}`. Leave empty to use simple search fields below.",
      optional: true,
    },
    itemsPerPage: {
      type: "integer",
      label: "Items Per Page",
      description: "Number of results to return per page",
      default: 20,
    },
    currentPage: {
      type: "integer",
      label: "Current Page",
      description: "Page number to retrieve",
      default: 1,
    },
    includeCount: {
      type: "boolean",
      label: "Include Count",
      description: "Whether to include total count in response",
      optional: true,
      default: true,
    },
    name: {
      type: "string",
      label: "Name",
      description: "Search by candidate name (simple search)",
      optional: true,
    },
    email: {
      type: "string",
      label: "Email",
      description: "Search by candidate email (simple search)",
      optional: true,
    },
    textSearch: {
      type: "string",
      label: "Text Search",
      description: "Search in resume, notes, emails, and files (simple search)",
      optional: true,
    },
    includeNotes: {
      type: "boolean",
      label: "Include Notes in Text Search",
      description: "Include notes when using text search",
      optional: true,
      default: true,
    },
    includeFiles: {
      type: "boolean",
      label: "Include Files in Text Search",
      description: "Include files when using text search",
      optional: true,
      default: true,
    },
    includeEmails: {
      type: "boolean",
      label: "Include Emails in Text Search",
      description: "Include emails when using text search",
      optional: true,
      default: true,
    },
    skills: {
      type: "string[]",
      label: "Skills",
      description: "Filter by skills (simple search)",
      optional: true,
    },
    jobTitle: {
      type: "string",
      label: "Job Title",
      description: "Filter by job title (simple search)",
      optional: true,
    },
    currentCompany: {
      type: "string",
      label: "Current Company",
      description: "Filter by current company (simple search)",
      optional: true,
    },
    phoneNumber: {
      type: "string",
      label: "Phone Number",
      description: "Filter by phone number (simple search)",
      optional: true,
    },
    linkedinProfile: {
      type: "string",
      label: "LinkedIn Profile",
      description: "Filter by LinkedIn profile URL (simple search)",
      optional: true,
    },
    school: {
      type: "string",
      label: "School",
      description: "Filter by school (simple search)",
      optional: true,
    },
  },
  annotations: {
    readOnlyHint: true,
    destructiveHint: false,
    openWorldHint: true,
    idempotentHint: true,
  },
  async run({ $ }) {
    const {
      app,
      conjunction,
      filters,
      itemsPerPage,
      currentPage,
      includeCount,
      name,
      email,
      textSearch,
      includeNotes,
      includeFiles,
      includeEmails,
      skills,
      jobTitle,
      currentCompany,
      phoneNumber,
      linkedinProfile,
      school,
    } = this;

    let filtersArray = [];

    // Parse filters if provided as JSON strings
    if (filters && filters.length > 0) {
      filtersArray = utils.parseJson(filters);
    } else {
      // If no advanced filters provided, build simple filters from individual fields

      if (name) {
        filtersArray.push({
          type: "text",
          conjunction: "in",
          values: [
            name,
          ],
          key: "name",
        });
      }

      if (email) {
        filtersArray.push({
          type: "text",
          conjunction: "in",
          values: [
            email,
          ],
          key: "email",
        });
      }

      if (textSearch) {
        const searchWords = textSearch.split(" ").filter((word) => word.length > 0);
        filtersArray.push({
          type: "text",
          conjunction: "in",
          values: searchWords,
          key: "text_search",
          include_notes: includeNotes,
          include_files: includeFiles,
          include_emails: includeEmails,
        });
      }

      if (skills && skills.length > 0) {
        filtersArray.push({
          type: "multi-select",
          conjunction: "in",
          values: skills,
          key: "skills",
        });
      }

      if (jobTitle) {
        filtersArray.push({
          type: "text",
          conjunction: "in",
          values: [
            jobTitle,
          ],
          key: "job_title",
        });
      }

      if (currentCompany) {
        filtersArray.push({
          type: "text",
          conjunction: "in",
          values: [
            currentCompany,
          ],
          key: "current_company",
        });
      }

      if (phoneNumber) {
        filtersArray.push({
          type: "text",
          conjunction: "in",
          values: [
            phoneNumber,
          ],
          key: "phone_number",
        });
      }

      if (linkedinProfile) {
        filtersArray.push({
          type: "text",
          conjunction: "in",
          values: [
            linkedinProfile,
          ],
          key: "linkedin_profile",
        });
      }

      if (school) {
        filtersArray.push({
          type: "text",
          conjunction: "in",
          values: [
            school,
          ],
          key: "school",
        });
      }
    }

    const data = {
      conjunction,
      items_per_page: itemsPerPage,
      current_page: currentPage,
      include_count: includeCount,
    };

    if (filtersArray.length > 0) {
      data.filters = filtersArray;
    }

    const response = await app.searchCandidates({
      $,
      data,
    });

    const resultCount = response.data?.length || 0;
    const totalCount = response.total_items !== undefined
      ? ` (${response.total_items} total)`
      : "";
    $.export("$summary", `Found ${resultCount} candidate(s)${totalCount} matching search criteria`);
    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.

Label	Prop	Type	Description
Recruiterflow	`app`	`app`	This component uses the Recruiterflow app.
Conjunction	`conjunction`	`string`	Select a value from the drop down menu:`{ "label": "Match All (AND)", "value": "match-all" }{ "label": "Match Any (OR)", "value": "match-any" }`
Filters	`filters`	`string[]`	Array of filter objects as JSON strings. Each filter should have `type`, `key`, and other properties based on filter type. Example: `{"type": "text", "conjunction": "in", "values": ["John"], "key": "name"}`. Leave empty to use simple search fields below.
Items Per Page	`itemsPerPage`	`integer`	Number of results to return per page
Current Page	`currentPage`	`integer`	Page number to retrieve
Include Count	`includeCount`	`boolean`	Whether to include total count in response
Name	`name`	`string`	Search by candidate name (simple search)
Email	`email`	`string`	Search by candidate email (simple search)
Text Search	`textSearch`	`string`	Search in resume, notes, emails, and files (simple search)
Include Notes in Text Search	`includeNotes`	`boolean`	Include notes when using text search
Include Files in Text Search	`includeFiles`	`boolean`	Include files when using text search
Include Emails in Text Search	`includeEmails`	`boolean`	Include emails when using text search
Skills	`skills`	`string[]`	Filter by skills (simple search)
Job Title	`jobTitle`	`string`	Filter by job title (simple search)
Current Company	`currentCompany`	`string`	Filter by current company (simple search)
Phone Number	`phoneNumber`	`string`	Filter by phone number (simple search)
LinkedIn Profile	`linkedinProfile`	`string`	Filter by LinkedIn profile URL (simple search)
School	`school`	`string`	Filter by school (simple search)