Indeed Company Data Scraper & Summarization with Airtable, Bright Data and Google Gemini
19 nodes · manual, lmChatGoogleGemini, toolHttpRequest, httpRequest, agent, chainLlm
- Engine
- n8n
- Nodes
- 19
- Trigger
- scheduled/triggered
- Source file
- 1508_Wait_Manual_Automation_Webhook.json
Workflow flow
When clicking ‘Test workflow’
Manual
Google Gemini Chat Model For Summarization
@n8n/n8n-nodes-langchain.lmChatGoogleGemini
Webhook HTTP Request
@n8n/n8n-nodes-langchain.toolHttpRequest
Google Gemini Chat Model
@n8n/n8n-nodes-langchain.lmChatGoogleGemini
Google Gemini Chat Model for AI Agent
@n8n/n8n-nodes-langchain.lmChatGoogleGemini
Set Bright Data Zone
Set
Airtable
Airtable
Indeed Expert AI Agent
@n8n/n8n-nodes-langchain.agent
Loop Over Items
SplitInBatches
Wait
Wait
If Link field is not empty
IF
Perform Indeed Web Request
HTTP
Markdown to Textual Data Extractor
@n8n/n8n-nodes-langchain.chainLlm
Convert Markdown to HTML
Markdown
Initiate a Webhook Notification for Markdown to HTML Response
HTTP
Indeed Summarizer
@n8n/n8n-nodes-langchain.chainSummarization
16 steps · flows top to bottom, branches left to right
Browse by integration
Import into n8n
- Download the n8n JSON file (full or sanitized).
- In n8n: Workflows → Import from file.
- Open each node and reconnect credentials to your accounts.
- Test with manual execution before enabling triggers.
Sanitized JSON removes credential IDs — safer for sharing. Flow graph JSON is OpenRuna's lightweight format for diagrams and other tools, not n8n import.
Overview
Free n8n workflow: Indeed Company Data Scraper & Summarization with Airtable, Bright Data and Google Gemini. 19 nodes across manual, lmChatGoogleGemini, toolHttpRequest, httpRequest, agent, chainLlm, markdown, splitInBatches, with a downloadable JSON and a visual flow diagram on OpenRuna.
What this workflow does
"Indeed Company Data Scraper & Summarization with Airtable, Bright Data and Google Gemini" automates a manual-to-lmChatGoogleGemini flow in n8n across 19 nodes. 19 nodes · manual, lmChatGoogleGemini, toolHttpRequest, httpRequest, agent, chainLlm It starts from a scheduled/triggered trigger and routes data through every node in order. OpenRuna renders the node graph and offers the JSON export so you can import and adapt it in minutes. Use it to learn integration patterns, fork it for your own use case, or deploy it quickly after reconnecting credentials.
Use cases
- Benchmark it against your current manual integration to spot missing steps or redundant nodes.
- Fork it to add error handling, retries, or a notification step without designing the 19-node flow from scratch.
- Share it with your team as a documented reference for scheduled/triggered automations in the manual stack.
- Study how data moves from manual to lmChatGoogleGemini before building your own variant.
Example output
Imported into n8n, "Indeed Company Data Scraper & Summarization with Airtable, Bright Data and Google Gemini" exposes 19 configured nodes. Trigger type: scheduled/triggered. Integrations: manual, lmChatGoogleGemini, toolHttpRequest, httpRequest, agent, chainLlm, markdown, splitInBatches. Set your credentials on the manual node, then verify each downstream node picks them up. Run it once in test mode to verify any branch logic (Switch/IF nodes) before enabling production triggers.
Tips by platform
Claude
Paste the exported JSON for "Indeed Company Data Scraper & Summarization with Airtable, Bright Data and Google Gemini" into Claude and ask it to explain each of the 19 nodes. Claude is good at suggesting credential mappings for manual, lmChatGoogleGemini, toolHttpRequest, httpRequest, agent, chainLlm, markdown, splitInBatches, plus error-handling and idempotency improvements before you run it in production.
ChatGPT
Have ChatGPT generate a checklist for adapting "Indeed Company Data Scraper & Summarization with Airtable, Bright Data and Google Gemini" to your accounts — which manual, lmChatGoogleGemini, toolHttpRequest, httpRequest, agent, chainLlm, markdown, splitInBatches credentials to create and which node parameters to change first.
Cursor
Open the downloaded JSON in Cursor and use Agent mode to refactor hard-coded URLs into env vars, or to generate tests for any Code nodes. Keep the OpenRuna flow diagram open so you do not break connection order across the 19 nodes.
Frequently asked questions
- How do I import "Indeed Company Data Scraper & Summarization with Airtable, Bright Data and Google Gemini" into n8n?
- Click Download n8n JSON on this page, then in n8n choose Workflows → Import from file and select the downloaded file. Reconnect credentials on each node — the export carries credential IDs from the original author's instance, not working secrets.
- Which integrations does "Indeed Company Data Scraper & Summarization with Airtable, Bright Data and Google Gemini" use?
- It uses: manual, lmChatGoogleGemini, toolHttpRequest, httpRequest, agent, chainLlm, markdown, splitInBatches. The flow diagram above shows how each service connects across the 19 nodes. Filter OpenRuna by integration to find related workflows and tools.
- Can I import a sanitized export without credentials?
- Yes. Use "Download sanitized JSON" to strip credential references before sharing internally. You will still add your own manual and lmChatGoogleGemini credentials in n8n after import.
- What trigger type does "Indeed Company Data Scraper & Summarization with Airtable, Bright Data and Google Gemini" use?
- Trigger type: scheduled/triggered. After import, confirm the trigger node (webhook, schedule, or app event) matches your environment, then activate the workflow when you are ready to run it.
- Is "Indeed Company Data Scraper & Summarization with Airtable, Bright Data and Google Gemini" free to use?
- OpenRuna catalogs community n8n workflows under open licenses. Check the source corpus link for the original license; commercial use may require verifying the third-party API terms for manual, lmChatGoogleGemini, toolHttpRequest, httpRequest, agent, chainLlm, markdown, splitInBatches.
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