The Problem With Getting Workbook Data In and Out of HigherGov
You have an Excel workbook full of competitor names, agency lists, open opportunity IDs, or NAICS codes — and you need federal contract intelligence layered on top of it. HigherGov holds that data. Getting it into your workbook without going one search at a time is the problem.
HigherGov is purpose-built for government market intelligence — contract awards, grant opportunities, subcontract flows, contract vehicles, SLED data, agency contacts. But the default interaction is search-and-read: you query one thing at a time in the UI and manually record what you find. For a list of 30 competitors or 15 target agencies, that's hours of data collection that should take minutes.
Below are the four ways teams handle this. Only the last one makes the job disappear.
Method 1: Manual Copy-Paste (or CSV Export)
The starting point for most BD and capture teams working in Excel. Open HigherGov, run a search, export a CSV if the feature is available for that query type, paste the relevant columns into your workbook, reformat the headers to match your layout, and move to the next row or filter.
For a one-time competitive scan before a new bid decision, this is manageable. You get the data, the decision gets made, and the file goes into a folder.
The problem is repetition. Proposal pipelines don't stay static. The BD director wants the competitive landscape refreshed before every pipeline review. The capture team adds five more companies to track. The agency list expands after a new task order win. Each refresh cycle is another round of export-paste-reformat across every row, and the workbook gets stale the moment someone adds a row to the tracker.
Method 2: Power Automate
Power Automate can connect to HigherGov's API and push results into Excel files stored in SharePoint or OneDrive. You configure a scheduled flow, define the API call, map the response fields to your workbook columns, and let it run.
Before going further — are you comfortable with HTTP connectors in Power Automate? With parsing JSON response bodies and mapping nested fields to Excel columns? With managing OAuth credentials and API rate limits? If those terms aren't part of your daily work, skip to Method 3 or 4. This path has a real technical entry cost.
For those who passed that gate: the flow does work, and once it's running it's low-maintenance. The challenge is initial build time. HigherGov's government data returns nested objects — subcontract arrays, multi-level agency hierarchies, code classification structures. Mapping those cleanly into flat Excel columns requires careful planning and a willingness to debug when the schema shifts.
The structural limit is also worth naming clearly.
A flow that runs one lookup per trigger is not a bulk operation. If your workbook has 40 rows, that's 40 trigger events, 40 API calls, and 40 potential failure points. Power Automate handles them sequentially, which means a slow-returning agency record on row 12 delays everything after it.
You probably just need the award totals for your competitor list so you can prep for Thursday's pipeline review. You probably have no idea which Power Automate connector maps to a HigherGov bulk contract pull — and that's reasonable. So you either figure it out from scratch, or you hand it to whoever on your team builds flows, and you wait.
Method 3: The Previous Generation — Connector Add-Ons
Until recently, the most practical option for repeatable workbook-to-government-data workflows was a category of add-ons that let you configure column mappings, define saved query templates, and execute them on demand. Pick your range, tag your fields, save the config, run it.
That was a real step up from manual CSV exports. Results came back with consistent formatting, the team didn't have to redo layout on every refresh, and a saved config could be shared across the team.
But the configuration was yours to maintain. You defined which fields mapped where, you handled missing data, and you rebuilt the config every time the workbook structure changed. The tool got the data through, but the thinking about what to move and how was still entirely on you. In government contracting work, where sheet layouts change with every new BD campaign or contract vehicle, that maintenance overhead adds up fast.
This is the previous generation. It worked, but it asked a lot of the operator.
The Easy Way: Using SheetXAI in Excel
There is a different approach entirely. SheetXAI is an AI agent that lives inside your Excel workbook. It reads your workbook, understands what you're looking at — competitor names, opportunity IDs, NAICS prefixes, agency abbreviations — and through its built-in HigherGov integration it can pull contract awards, grant opportunities, subcontract data, vehicle details, and agency contacts for you. No template to configure, no flow to build, no searching one row at a time.
Example 1: Competitive contract landscape for 50 companies
For each company name in column A, search HigherGov for all federal contracts they won in the last 12 months and fill columns B–F with contract count, total award amount, top awarding agency, most recent award date, and primary NAICS code.
The agent works through every row, queries HigherGov for each company, and writes the results back. The whole grid populates while you do something else.
Example 2: Open SBIR opportunities filtered to your target agencies
Pull all SBIR opportunities from HigherGov for the agencies listed in my workbook and add columns for solicitation title, topic code, phase, award ceiling, and close date.
The pattern: instead of building a saved filter in HigherGov and transcribing what it returns into your workbook, you describe what you want in the language of your own data. SheetXAI handles the query logic and the column writeback in one step.
Try It
Get the 7-day free trial of SheetXAI and open any Excel workbook with a list of competitors, agencies, opportunity IDs, or NAICS codes, then ask it to do one of the tasks above. The HigherGov integration is included in every SheetXAI plan.
More HigherGov + Excel guides
Bulk Pull Federal Contract Awards Into a Google Sheet by Competitor
Pull every federal contract award for a list of competitors from HigherGov into a sheet with award amounts, agencies, and NAICS codes — no manual searching required.
Import Open Federal Grant Opportunities Into a Google Sheet by Program Area
Search HigherGov for open grant opportunities matching each program area in your sheet and populate opportunity details, due dates, and award estimates in seconds.
Enrich Opportunity IDs With RFP Document Links in a Google Sheet
For each SAM.gov opportunity key in your sheet, retrieve all attached RFP documents from HigherGov and fill in filenames and download URLs for your proposal team.
Populate Contracting Officer Contacts From HigherGov Into a Google Sheet
Look up names, titles, emails, and phone numbers for federal agency contracting officers in HigherGov and write them directly into your BD outreach sheet.
Bulk Map NAICS and PSC Codes for Proposal Work in a Google Sheet
Resolve NAICS prefixes and PSC categories in bulk from HigherGov and populate full codes, titles, and descriptions into your capability statement sheet.
Import State and Local Government Contract Opportunities Into a Google Sheet
Pull active SLED contract opportunities from HigherGov for each state in your pipeline sheet and add titles, agencies, estimated values, and due dates.
Pull Subcontract Awards Into a Google Sheet for Teaming Partner Analysis
For each prime contract award ID in your sheet, retrieve all subcontract awards from HigherGov with recipient names and dollar amounts for teaming partner research.
Look Up Contract Vehicle Details From HigherGov Into a Google Sheet
Retrieve GWAC and IDIQ vehicle details from HigherGov for each vehicle key or service category in your sheet, including ceiling values and ordering periods.
