Rikunabi NEXT求人スクレイパー:求人票・企業情報を抽出
Pricing
from $0.50 / 1,000 results
Rikunabi NEXT求人スクレイパー:求人票・企業情報を抽出
リクナビNEXTの条件検索を、比較・集計しやすい求人データセットへ変換します。地域ブロックと地域別勤務地、職種、こだわり条件、雇用形態、年収から検索URLを自動生成し、求人票、給与、勤務地、募集要項、企業情報を CSV、Excel、JSON に出力できます。
Rikunabi NEXT求人スクレイパー:求人票・企業情報を抽出
Pricing
from $0.50 / 1,000 results
リクナビNEXTの条件検索を、比較・集計しやすい求人データセットへ変換します。地域ブロックと地域別勤務地、職種、こだわり条件、雇用形態、年収から検索URLを自動生成し、求人票、給与、勤務地、募集要項、企業情報を CSV、Excel、JSON に出力できます。
You can access the Rikunabi NEXT求人スクレイパー:求人票・企業情報を抽出 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.
{ "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nezha/rikunabi-next-job", "--header", "Authorization: Bearer <YOUR_API_TOKEN>" ] } }}Get a ready-to-use configuration for your MCP client with the Rikunabi NEXT求人スクレイパー:検索条件から求人票を抽出 Actor preconfigured at mcp.apify.com?tools=nezha/rikunabi-next-job .
You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.
If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.