DIRECTUS_TOKEN

DIRECTUS_URL

# configurations
.idea

# crawlee and apify storage folders
apify_storage
crawlee_storage
storage

# installed files
node_modules

# git folder
.git

# dist folder
dist


.dockerignore

.gitignore

//npm.pkg.github.com/:_authToken=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
@bebity:registry=https://npm.pkg.github.com
git-checks=false
```


.npmrc

linkedin-premium-actor

package.json

pnpm-lock.yaml

tsconfig.json

tsconfig.tsbuildinfo

# Specify the base Docker image. You can read more about
# the available images at https://docs.apify.com/sdk/js/docs/guides/docker-images
# You can also use any other image from Docker Hub.
FROM apify/actor-node:18 AS builder

# Copy just package.json and package-lock.json
# to speed up the build using Docker layer cache.
COPY package*.json ./

COPY .npmrc ./


# Install all dependencies. Don't audit to speed up the installation.
RUN npm install --include=dev --audit=false

# Next, copy the source files using the user set
# in the base image.
COPY . ./

# Install all dependencies and build the project.
# Don't audit to speed up the installation.
RUN npm run build

# Create final image
FROM apify/actor-node:18

# Copy just package.json and package-lock.json
# to speed up the build using Docker layer cache.
COPY package*.json ./

COPY .npmrc ./


# Install NPM packages, skip optional and development dependencies to
# keep the image small. Avoid logging too much and print the dependency
# tree for debugging
RUN npm --quiet set progress=false \
    && npm install --omit=dev --omit=optional \
    && echo "Installed NPM packages:" \
    && (npm list --omit=dev --all || true) \
    && echo "Node.js version:" \
    && node --version \
    && echo "NPM version:" \
    && npm --version \
    && rm -r ~/.npm

# Copy built JS files from builder image
COPY --from=builder /usr/src/app/dist ./dist

# Next, copy the remaining files and directories with the source code.
# Since we do this after NPM install, quick build will be really fast
# for most source file changes.
COPY . ./


# Run the image.
CMD npm run start:prod --silent


.actor/Dockerfile

Linkedin Premium Actor

.actor/actor.json

🎯 Action

Must be set to true if querying per name (John Doe) or false if querying per keyword (web developer)

⚠️⚠️⚠️ Set if querying per name (eg: "John Doe") (don't set if querying per keyword or URL (eg: "web developer" "https://linkedin.com/in/john-doe/")) ⚠️⚠️⚠️

Must be set to true if querying per URL ("https://linkedin.com/in/john-doe/") or false if querying per keyword or name (web developer)

⚠️⚠️⚠️ Set if querying per URL (eg: "https://linkedin.com/in/john-doe/") (don't set if querying per keyword or name (eg: "web developer")) ⚠️⚠️⚠️

It can be a single query or a list of names, companies or URLS...

🔍 Query or list of queries (keywords, names..)

Max rows to return per query item. (If limit is 5 and keywords contains 2 items, will return 10 rows)

🔢 Limit of result per query

🌍 Location

Get data directly and fastly from Linkedin

.actor/input_schema.json

exports.__esModule
import { Actor } from "apify";
import { LinkedinNs, LinkedinClient } from '@bebity/linkedin-scraper';
import { ActionEnum } from "./dtos/input.dto";

(async () => {
  await Actor.init();

  interface Input {
    action: ActionEnum;
    limit: number,
    keywords: string[],
    location: string[],
    isName: boolean,
    isUrl: boolean
  }

  const input = await Actor.getInput<Input>();
  if (!input) throw new Error("Input is missing!");
  const { action, limit, keywords, location, isName, isUrl } = input;

  const client = new LinkedinClient();

  const actionToFunction = {
    [ActionEnum.getProfiles]: {
      fn: (filters: LinkedinNs.CommonSearchParams) => client.user.searchAndDigest(filters, [], Actor.pushData),
      out: (out: LinkedinNs.UserNs.ProfileDigest[]) => out,
      in: () => ({ limit: limit, keywords: keywords, geoSearch: location, geoUrns: [], isName: isName, isUrl: isUrl })
    },
    [ActionEnum.getCompanies]: {
      fn: (filters: LinkedinNs.CommonSearchParams) => client.company.searchAndDigest(filters, [], Actor.pushData),
      out: (out: LinkedinNs.CompanyNs.CompanyDigest[]) => out,
      in: () => ({ limit: limit, keywords: keywords, geoSearch: location, geoUrns: [], isUrl: isUrl })
    }
  }

  const toPerform = actionToFunction[action];
  await toPerform?.fn(toPerform?.in?.() as any);
  await client.end();
  // const out: LinkedinNs.UserNs.ProfileDigest[] | LinkedinNs.CompanyNs.CompanyDigest[] = toPerform?.out(rslt as any)
  // Save headings to Dataset - a table-like storage.
  // await Actor.pushData(out as any[]);
  // Gracefully exit the Actor process. It's recommended to quit all Actors with an exit().
  await Actor.exit();
})();

src/main.ts


export enum ActionEnum {
  getProfiles = "get-profiles",
  getCompanies = "get-companies"
}


src/dtos/input.dto.ts

Companies & Profiles Linkedin scraper.
Get comprehensive profiles of individuals and companies based on your keywords and filters.
Unleash the power of data! 🌐🔍

🔥 Linkedin Companies & Profiles Bulk Scraper

Where next?