find-market

usdalocalfoodportal.com/find-market-5xvsgb · updated May 21, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$browse install usdalocalfoodportal.com/find-market-5xvsgb
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summary

Search the USDA Local Food Portal directories (Farmers Markets, CSAs, On-Farm Markets, Food Hubs, Agritourism) near a US location and return matching listings with full address, lat/lon, distance, plaintext contact, social-media URLs, and the canonical detail URL.

skill.md
name
find-market
title
USDA Local Food Portal — Find Market
description
>- Search the USDA Local Food Portal directories (Farmers Markets, CSAs, On-Farm Markets, Food Hubs, Agritourism) near a US location and return matching listings with full address, lat/lon, distance, plaintext contact, social-media URLs, and the canonical detail URL.
website
usdalocalfoodportal.com
category
government-directory
tags
- usda - farmers-market - csa - food-hub - local-food - directory - agriculture
source
'browserbase: agent-runtime 2026-05-18'
updated
'2026-05-18'
recommended_method
api
alternative_methods
- method: browser rationale: >- Only useful when an upstream system requires literal navigation of a portal search URL; the page is server-rendered PHP/Bulma and the visible cards expose contact_email and contact_phone as PNG-obfuscated images, so the browser path is strictly worse than calling the same JSON endpoint the page itself uses. - method: url-param rationale: >- The user-facing search URL (https://www.usdalocalfoodportal.com/fe/fdirectory_{dtype}/?...) is shareable and stateful, but it's a thin client over the same API — the API path is the optimal way to consume the same filters programmatically.
verified
false
proxies
false

USDA Local Food Portal — Find Market

Purpose

Search the four USDA Local Food Portal directories (Farmers Markets, CSAs, On-Farm Markets, Food Hubs — plus the bonus Agritourism directory) near a US location and return matching listings as structured JSON: name, directory type, full address with lat/lon, distance from input, contact (name, email, phone), social-media URLs, and the canonical USDA detail URL. Read-only; never edits or submits the portal's "report this listing" / "claim this listing" forms.

When to Use

  • "Find SNAP-accepting farmers markets within 20 miles of ZIP 60601."
  • "Show me CSAs near Madison, WI that operate in June."
  • "Look up the listing details for a market named 'Union Square Greenmarket'."
  • "Resolve this USDA portal detail URL to a structured record."
  • "Pull all on-farm markets in zipcodes 98101–98199" (bulk via per-ZIP API queries).
  • Any task that would otherwise scrape the portal's HTML search pages — the underlying JSON API is faster, returns plaintext contact fields the detail page hides as PNG-obfuscated images, and tolerates polite rate limits without proxies.

Workflow

The portal's web UI is a thin jQuery client over a public JSON API at https://www.usdalocalfoodportal.com/api/. Two endpoints matter; both are unauthenticated, return JSON, and work with no proxy and no browser Verified — verified 2026-05-18 with both --proxies and direct (non-proxied) Browserbase fetches returning identical 200 responses with full data. Lead with the API path. The browser flow is only useful when an upstream caller hands you an opaque portal search URL they want re-executed verbatim — and even then, the search URL's query string can be replayed against the API.

1. Search the list endpoint

GET https://www.usdalocalfoodportal.com/api/get_searchresult_list/
    ?mydata[directory]={dtype}
    &mydata[location]={zip-or-address}
    &mydata[radius]={miles}
    &mydata[x]={longitude}
    &mydata[y]={latitude}
    &mydata[term]={keyword}
    &mydata[...filter]=v1|v2|v3

The mydata[...] PHP-array bracket syntax is mandatory. Sending ?mydata={JSON} returns HTTP 500 — "Cannot unset string offsets in class_FrontendNonWP.php:188". The backend's $_GET['mydata'] is consumed as a parsed array, not a JSON blob. URL-encode the brackets as %5B / %5D.

Required keys:

  • mydata[directory] — one of: farmersmarket, csa, onfarmmarket, foodhub, agritourism. Multi-directory search supported by joining with | (e.g. farmersmarket|csa).

Location keys (at least one of these two patterns):

  • ZIP-only: mydata[location]=10001 plus mydata[radius]={miles} is sufficient — the backend geocodes the ZIP server-side.
  • Coordinate path: mydata[x]={longitude}&mydata[y]={latitude} (note: x=longitude, y=latitude — the portal's HTML form uses Google Places autocomplete which writes lng to current_x and lat to current_y). Pair with mydata[location]={display-string} and mydata[radius].

Optional filter keys (omit to skip the filter; multi-select values are pipe-joined):

ParamValuesNotes
mydata[term]free textMatches against listing name. Works without location.
mydata[radius]10, 30, 100, 250Miles. The actual radius enum is 10/30/100/250, not the 5/10/20/50/100 sometimes quoted in upstream tickets. Default in the UI is 30.
mydata[fnap]SNAP, WIC, WIC Farmers Market Program, Senior Farmers Market Nutrition Program, Match ProgramFood / Nutrition Assistance Programs. There is no separate "WIC Cash Value Voucher" filter — combine WIC + WIC Farmers Market Program if a user asks for "WIC CVV".
mydata[acceptedpayment]Cash, Debit card, Mobile payments, Commerical Checks (sic — typo in the enum), Personal Checks, Barter, Volunteer Work"Credit cards" maps to the Debit card enum value (the label is "Debit card/Credit card").
mydata[specialproductionmethods]USDA Certified, Practicing Organic, Naturally Grown, Good Agricultural Practices, No antibiotics, Non-GMO, No hormones, No pesticides, Grass Fed, Pasture-raised, Humane treatment of animals, Fair labor practices, Kosher, HalalThere is no Conventional enum — "conventional" is the absence of any of these, not a positive filter.
mydata[operationmonth]operation_month_1operation_month_12One per calendar month.
mydata[operationday]operationtime_sun, operationtime_mon, operationtime_tue, operationtime_wed, operationtime_thu, operationtime_fri, operationtime_sat
mydata[orderingmethod]saleschannel_onlineorder, saleschannel_phoneorder, saleschannel_csaorder
mydata[productlist](varies by directory — Farmers Markets accept free-text product names; the dropdown is populated dynamically from the per-directory product taxonomy)Pipe-join for multi-select.
mydata[location_state]full state name, e.g. New YorkState-level filter independent of radius.

Response shape — a flat array under data:

{ "data": [ { "listing_id": "300291", "listing_name": "...", ... }, ... ] }

Each record carries plaintext contact_email and contact_phone (unlike the detail endpoint — see gotcha below), full address (location_street, location_city, location_state, location_zipcode), lat/lon (location_x = longitude, location_y = latitude), distance (decimal miles from the input coords, only present when a coordinate or location was supplied), directory_type, and all six social-media URLs (media_website, media_facebook, media_twitter, media_instagram, media_pinterest, media_youtube, media_blog).

2. Construct the canonical detail URL

https://www.usdalocalfoodportal.com/fe/flisting/?lid={listing_id}&directory_type={directory_type}

Both values come directly from the search response. The trailing slash before ? is required/fe/flisting?lid=... returns HTTP 301 to the slash-suffixed form, costing an extra round-trip.

3. Single-record lookup

When the caller provides only a market name or only a detail URL:

  • Detail URL given → parse lid and directory_type from the query string and re-issue the search API with mydata[directory]={dtype}&mydata[term]={market_name_if_known} and then filter the response by listing_id == lid. This is preferred over the listinginfo endpoint because the search API returns plaintext contact fields.
  • Name onlymydata[directory]={dtype}&mydata[term]={name} with no location. The term parameter matches against listing_name server-side and returns nationwide hits (verified: term=Union Square returned 4 records spanning NY, NC, WI, MA).

4. Pagination

There is none. A single call returns the full result set for the given filters — verified up to 124 records on a single ZIP+radius query. The classic web UI does client-side paging via DataTables over the full result array. If you need to keep payloads small, subdivide by sub-filter (state, month, day-of-week, payment type) rather than expecting limit/offset params.

Browser fallback

Only useful if (a) the JSON API ever starts returning HTML, or (b) an upstream system requires you to literally navigate the user-facing search URL. The page is server-rendered Bulma/PHP with a Google-Places autocomplete on the location input.

  1. Open https://www.usdalocalfoodportal.com/fe/fdirectory_{dtype}/?source=fe&directory={dtype}&location={loc}&x={lng}&y={lat} — the same query parameters the API accepts (without the mydata[...] bracket wrapping).
  2. The page's inline JS calls get_searchresult_list on load. Wait for #myloaderContainer to hide, then either:
    • Cheaper: intercept the XHR via browse network and read the JSON envelope directly (it's the same data as step 1).
    • More expensive: harvest cards from #listing_table tr DOM nodes — each <tr> holds an anchor <a href="https://www.usdalocalfoodportal.com/fe/flisting/?lid={id}&directory_type={dt}"> and visible text spans for name/address/distance, but contact_email / contact_phone are rendered as PNG images (anti-scrape) so you'll have no plaintext contact.

The browser path costs ~5–8 turns per query versus 1 turn for the API. Don't lead with it.

Site-Specific Gotchas

  • mydata is a PHP array, not a JSON string. Send ?mydata[directory]=...&mydata[location]=.... Sending ?mydata={"directory":"..."} returns HTTP 500 (Cannot unset string offsets in class_FrontendNonWP.php:188) — the backend immediately treats $_GET['mydata'] as an array and calls unset() on it.
  • Double-slash in the inline API URL is a red herring. The page's source emits url: "https://www.usdalocalfoodportal.com/api//get_searchresult_list" (note the //). The doubled slash 301-redirects to the single-slash form. Always use single-slash + trailing slash: /api/get_searchresult_list/?....
  • Phone and email on the detail page (/api/listinginfo/) are PNG-obfuscated. The detail API returns contact_phone and contact_email as <img src="data:image/png;base64,..."> tags rendering the digits/string. The search list API returns them as plaintext — always prefer the search endpoint, even for single-record lookups. Don't waste turns OCR-ing the PNGs.
  • The detail API otherwise returns pre-rendered HTML fragments, not clean fields. Endpoints like address, seasonproducts, specialproductionmethods, acceptedpayment, fnap, profile are HTML blobs you must regex-parse for <li> items. The list API doesn't carry these fields — if you need the goods/operating-hours breakdown, fetch /api/listinginfo/?lid={id}&directory_type={dt} and parse the <ul class="myul"><li>...</li></ul> blocks server-side.
  • The bulk download endpoint exists but is unusable from Browserbase Fetch. GET /api/download_by_directory/?directory={dtype} dumps the entire catalog as a JSON array (no auth), but the response routinely exceeds 1 MB and Browserbase Fetch returns "502 The response body exceeded the maximum allowed size of 1MB". If you need a full dump, page by ZIP-radius-100 grid or by state and merge.
  • Coordinate convention is inverted vs. the usual GIS norm. Form field current_x (and API param x) holds longitude; current_y / y holds latitude. Same convention is mirrored in response fields location_x / location_y. Double-check sign and magnitude (US longitudes are negative, between −66 and −125).
  • Radius enum is 10/30/100/250 miles, not 5/10/20/50/100. Upstream task descriptions sometimes quote the latter set; the actual UI dropdown and API both validate against the former. Out-of-enum values are silently coerced to 30.
  • Conventional is not a filter value. The specialproductionmethods enum only carries positive practice claims (Organic, Naturally Grown, Grass Fed, Halal, …). To list "conventional" markets, omit the filter entirely and post-filter the response for records whose specialproductionmethods field is empty.
  • WIC Cash Value Voucher is not a filter value either. The fnap enum has WIC (general) and WIC Farmers Market Program (FMNP). The "Cash Value Voucher" (CVV) is a subset of general WIC benefits — it's not modelled separately in the portal.
  • Commerical Checks is misspelled in the upstream enum. Send the typo verbatim (URL-encoded) — mydata[acceptedpayment]=Commerical%20Checks — or the filter is silently ignored.
  • agritourism is a fifth, undocumented directory. It's in the same backend, accepts the same filters, and is the directory used by the portal's "directories near you" landing page. Worth supporting if the caller's task is location-based "what's nearby" rather than market-specific.
  • No Referer / User-Agent / cookie checks. Verified with a bare browse cloud fetch (no proxy, no browser session) returning 124 records for ZIP 10001 + radius 30 + directory farmersmarket. Apache Server: Apache/2.4.59 () OpenSSL/1.0.2k-fips PHP/8.0.30; no Akamai/Cloudflare/Imperva fronting. Stay polite (≤ 1 req/s sustained) but no Verified is required.
  • distance is omitted when no x/y or location is supplied. A pure term= query returns nationwide hits without distance values, so consumers should treat distance as optional.
  • updatetime in the search response is a human string ("Nov 28th, 2022"), not ISO-8601. Parse with dateparser/dateutil or treat as opaque display data.

Expected Output

A single envelope per query, regardless of which input shape was used:

{
  "input": {
    "directory": "farmersmarket",
    "location": "10001",
    "x": -73.997,
    "y": 40.7505,
    "radius_miles": 30,
    "term": null,
    "filters": { "fnap": ["SNAP"], "operationday": ["operationtime_sat"] }
  },
  "result_count": 14,
  "listings": [
    {
      "listing_id": "300291",
      "directory_type": "farmers_market",
      "name": "Down to Earth Chelsea Farmers Market",
      "updated_display": "Nov 28th, 2022",
      "address": {
        "street": "W. 23rd Street off 9th Avenue",
        "city": "New York",
        "state": "New York",
        "zip": "10011",
        "full": "W. 23rd Street off 9th Avenue, New York, New York 10011"
      },
      "latitude": 40.746359,
      "longitude": -74.000805,
      "distance_miles": 0.51,
      "contact": {
        "manager_name": "Down to Earth Markets",
        "email": "[email protected]",
        "phone": "9149234837",
        "website": "https://downtoearthmarkets.com/"
      },
      "social_media": {
        "facebook": "https://www.facebook.com/chelseanycfarmersmarket",
        "instagram": "https://www.instagram.com/chelseafarmersmarketnyc",
        "twitter": null,
        "pinterest": null,
        "youtube": null,
        "blog": "https://downtoearthmarkets.tumblr.com/"
      },
      "brief_description": "Open: May to December. Available Products: Fresh fruits; Fresh vegetables; Baked goods; …",
      "detail_url": "https://www.usdalocalfoodportal.com/fe/flisting/?lid=300291&directory_type=farmersmarket"
    }
  ]
}

For single-record lookups by detail URL or by exact name (the API still returns a list — usually of length 1, occasionally many for ambiguous names), use the same envelope with result_count: 1 (or N for ambiguous) and a single-element listings array. When result_count > 1 for what the caller expected to be a single hit, surface the ambiguity to the caller — do not silently pick the first record.

For directory-type variants (csa, onfarmmarket, foodhub, agritourism), the schema is identical — only directory_type and the contents of brief_description differ. Per-directory product taxonomies differ (CSAs surface "Share size", "Pickup vs. delivery"; food hubs surface "wholesale", "distribution radius") but those nuances live in the detail endpoint's HTML fragments, not the list endpoint.

For zero-result queries, return { "result_count": 0, "listings": [] } — the API returns { "data": null } or { "data": [] } and both must be normalized to an empty array.

how to use find-market

How to use find-market on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add find-market
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$browse install usdalocalfoodportal.com/find-market-5xvsgb

The skills CLI fetches find-market from GitHub repository usdalocalfoodportal.com/find-market-5xvsgb and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/find-market

Reload or restart Cursor to activate find-market. Access the skill through slash commands (e.g., /find-market) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.554 reviews
  • James Martinez· Dec 24, 2024

    find-market is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Michael Martinez· Dec 24, 2024

    We added find-market from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Arjun Smith· Dec 20, 2024

    Keeps context tight: find-market is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Shikha Mishra· Dec 12, 2024

    Keeps context tight: find-market is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Evelyn Bhatia· Dec 8, 2024

    Solid pick for teams standardizing on skills: find-market is focused, and the summary matches what you get after install.

  • Henry Kapoor· Nov 27, 2024

    find-market is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Emma Jain· Nov 15, 2024

    Solid pick for teams standardizing on skills: find-market is focused, and the summary matches what you get after install.

  • Mia Lopez· Nov 11, 2024

    find-market has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Rahul Santra· Nov 3, 2024

    find-market has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Pratham Ware· Oct 22, 2024

    Solid pick for teams standardizing on skills: find-market is focused, and the summary matches what you get after install.

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