# Kiva Crowdfunding Loan Scraper (`datacach/kiva-crowdfunding-scraper`) Actor
Scrape live loan listings from Kiva.org — amounts, borrowers, location, sector, and funding status — with keyword and filter support.
- **URL**: https://apify.com/datacach/kiva-crowdfunding-scraper.md
- **Developed by:** [DataCach](https://apify.com/datacach) (community)
- **Categories:** Developer tools, Other, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $1.99 / 1,000 loans
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".
## How to integrate an Actor?
If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
## Kiva Crowdfunding Loan Scraper
Extract **live loan listings from [Kiva.org](https://www.kiva.org/lend)** — the world's largest crowdfunding platform for microloans — without writing a single line of code.
### What is the Kiva Crowdfunding Loan Scraper?
The **Kiva Crowdfunding Loan Scraper** is a tool that **extracts live microloan data from [Kiva.org](https://www.kiva.org/lend)**, Kiva's public microfinance marketplace. It queries the same **public GraphQL API** that powers Kiva's search page, so results are **fast, structured, and always up to date** with the loans currently open for funding.
Give it a **search keyword**, a set of **filters**, or a **filter URL** copied straight from `kiva.org/lend/filter`, and it returns clean **JSON records** — borrower details, funding progress, sector, location, repayment terms, and more — ready to **export to CSV, Excel, or JSON** or push into your own systems.
### What can the Kiva Loan Scraper do?
- 🔍 **Search Kiva loans by keyword** (borrower name, loan use, or activity) — for example `coffee`, `solar`, or `tailor`.
- 🎯 **Filter loans** by borrower gender, distribution model (field partner vs. direct), and country (ISO codes).
- 🔗 **Reuse Kiva filter URLs** — configure filters on the Kiva website and paste the URL; the scraper reproduces them exactly.
- ↕️ **Sort results** by popularity, newest, expiring soon, amount left, loan amount, or repayment term.
- 📤 **Export data** in JSON, CSV, HTML, or Excel from the Apify dataset.
- ⚙️ **Run on the Apify platform** — schedule recurring runs, call it via the [Apify API](https://docs.apify.com/api/v2), connect it to **Zapier, Make, Google Sheets, and webhooks**, and rely on automatic retries and **proxy rotation**.
### What data can you extract from Kiva?
The scraper returns a structured record for every matching loan. Primary fields include:
| Field | Description |
| --- | --- |
| `name` | Borrower or business name |
| `use` | Stated purpose of the loan |
| `loanAmount` | Total requested loan amount (USD) |
| `fundedAmount` | Amount already funded by lenders |
| `amountLeft` | Remaining amount needed to fully fund the loan |
| `sector` / `activity` | Kiva sector and specific activity (e.g. Agriculture → Farming) |
| `country` / `countryCode` / `region` / `city` | Borrower location |
| `borrowerCount` | Number of borrowers on the loan |
| `gender` | Borrower gender |
| `status` | Loan status (e.g. fundraising, funded) |
| `distributionModel` | How the loan is disbursed: field partner or direct |
| `plannedExpirationDate` | When the loan listing expires |
| `lenderRepaymentTerm` | Repayment term length in months |
| `themes` / `tags` | Kiva themes and tags associated with the loan |
| `imageUrl` | Borrower/loan image |
| `loanUrl` | Direct link to the loan page on Kiva.org |
See the full field list in the **Output example** below.
### How do I use the Kiva scraper to extract loan data?
1. Open the Actor's **Input** tab in Apify Console.
2. Enter a **search keyword** (e.g. `coffee`) and/or paste a **Kiva filter URL** copied from `kiva.org/lend/filter` — individual filter fields you set below override matching parts of that URL.
3. Refine results with the **filters**: borrower gender, distribution model, and countries (ISO codes).
4. Choose a **sort order** and set **maximum loans** to cap how many records are scraped.
5. Click **Start** and let the run finish.
6. Open the **Output** tab or **Dataset** to browse, or download results in **JSON, CSV, HTML, or Excel**.
### Input
You can configure the scraper entirely from the visual **Input** form — no code required. Available inputs:
- **Search keyword** — free-text search across Kiva loans; leave empty to browse all loans.
- **Kiva filter URL** — paste a URL from `kiva.org/lend/filter` to reproduce its filters.
- **Borrower gender** — any, female, male, non-binary, or unspecified.
- **Distribution model** — any, field partner, direct, or both.
- **Countries** — one or more two-letter ISO codes (e.g. `MX`, `KE`, `PH`).
- **Sort by** — popularity, newest, expiring soon, amount left, loan amount, repayment term, or random.
- **Maximum loans** — how many loans to scrape.
- **Proxy configuration** — route requests through Apify Proxy (residential recommended).
Example input:
```json
{
"searchKeyword": "coffee",
"gender": "female",
"distributionModel": "fieldPartner",
"country": ["MX"],
"sortBy": "popularity",
"maxItems": 100,
"proxyConfiguration": { "useApifyProxy": true }
}
````
### Output example
Each scraped loan is pushed to the dataset as a single JSON record. You can download the dataset in **JSON, CSV, HTML, or Excel**.
```json
{
"id": 3198094,
"name": "Olga Benicia",
"use": "to buy fertilizers and various foliar products.",
"loanAmount": 575,
"fundedAmount": 400,
"amountLeft": 175,
"currency": "USD",
"sector": "Agriculture",
"activity": "Farming",
"country": "Honduras",
"countryCode": "HN",
"region": "Central America",
"city": "Intibuca",
"borrowerCount": 1,
"gender": "female",
"status": "fundraising",
"distributionModel": "fieldPartner",
"plannedExpirationDate": "2026-08-10T13:57:08Z",
"lenderRepaymentTerm": 14,
"themes": [
"Rural Exclusion"
],
"tags": [
"#Woman-Owned Business",
"#Single",
"#Parent",
"#Single Parent"
],
"whySpecial": "It allows smallholder farmers to purchase inputs to improve yields on favorable terms.",
"imageUrl": "https://www.kiva.org/img/w480h300/6b8678a2175d7aa7ffd474356002bc20.webp",
"loanUrl": "https://www.kiva.org/lend/3198094"
}
```
### Use cases
- **Impact-investing research** — analyze which sectors, regions, or borrower groups get funded fastest, and where capital gaps remain.
- **Microfinance analysis** — study loan sizes, repayment terms, and distribution models (field partner vs. direct) across markets.
- **Dataset building for research or journalism** — assemble a structured, exportable dataset of crowdfunding activity.
- **Fundraising monitoring** — schedule runs to track specific countries or sectors and catch newly listed loans as they appear.
- **Lender and portfolio tooling** — feed live Kiva loan data into dashboards, spreadsheets, or apps via the Apify API and integrations.
### Other Actors you might like
- *Add your related scrapers here (e.g. other crowdfunding, finance, or directory Actors).*
### FAQ
#### Is it legal to scrape Kiva.org?
This Actor only reads **publicly available loan listing data** through Kiva's own public GraphQL search API — the same data anyone can see by browsing [kiva.org/lend](https://www.kiva.org/lend). Always respect Kiva's Terms of Service and use the data responsibly. The Actor does not collect personal or sensitive data beyond what Kiva already displays publicly on loan listings.
#### How many loans can I scrape?
You control the number with the **Maximum loans** input. On the free plan, runs return up to **10 loans** regardless of that value — enough to test filters and preview the data shape. Paid plans honor **Maximum loans** in full for larger research or monitoring runs.
#### Can I access the Kiva scraper through an API?
Yes. Like every Apify Actor, you can run it and retrieve its dataset via the [Apify API](https://docs.apify.com/api/v2), the Apify client libraries for **Python** and **JavaScript**, or no-code integrations like **Zapier** and **Make**.
#### In which formats can I export the Kiva loan data?
The dataset can be downloaded as **JSON, CSV, HTML, or Excel**, or fetched programmatically through the API.
#### Do I need a proxy to scrape Kiva?
A proxy is not strictly required, but **Apify Proxy is recommended** (residential proxies work best) to avoid IP-based rate limits on larger runs. Configure it in the **Proxy configuration** input.
#### Why is my run returning fewer loans than expected?
Kiva only lists loans currently open for funding, so narrow filters (a specific country plus a keyword) may match very few active loans. Broaden the filters or remove the keyword to see more results.
### Support
Found a bug, or have a feature request? Open an issue on the Actor's **Issues** tab in Apify Console — feedback helps prioritize fixes and improvements. Need a **custom solution** (extra fields, different filtering logic, or another data source)? Reach out via the Issues tab to discuss.
# Actor input Schema
## `searchKeyword` (type: `string`):
Free-text search across Kiva loans, matching borrower name, loan use, and activity (for example "coffee", "solar", or "tailor"). Leave empty to browse without a keyword.
## `kivaFilterUrl` (type: `string`):
Optional. Configure filters on kiva.org/lend/filter, then paste the resulting URL here (for example https://www.kiva.org/lend/filter?gender=female\§or=6). The individual filter fields below override any matching part of this URL; empty fields leave the URL's value in place.
## `gender` (type: `string`):
Keep only loans for borrowers of the selected gender. Choose "Any" to apply no gender filter.
## `distributionModel` (type: `string`):
How the loan reaches the borrower. "Field partner" loans are administered by a local Kiva partner organization; "Direct" loans go straight to the borrower; "Both" returns either. Choose "Any" to apply no filter.
## `country` (type: `array`):
Keep only loans from the listed borrower countries, given as two-letter ISO codes (for example MX for Mexico, KE for Kenya, PH for the Philippines). Add one code per entry. Leave empty to include all countries.
## `sortBy` (type: `string`):
Order in which matching loans are returned. "Popularity" mirrors Kiva's default lending page order; "Expiring soon" surfaces loans closest to their fundraising deadline.
## `maxItems` (type: `integer`):
Maximum number of loans to scrape. A higher number takes longer and costs more compute. On the free plan the run is capped at 10 loans regardless of this value; upgrade your plan to raise the limit.
## `proxyConfiguration` (type: `object`):
Route API requests through Apify Proxy to avoid IP-based rate limits. Residential proxies are recommended for this Actor.
## Actor input object example
```json
{
"searchKeyword": "coffee",
"kivaFilterUrl": "https://www.kiva.org/lend/filter?gender=female§or=6",
"gender": "any",
"distributionModel": "any",
"country": [],
"sortBy": "popularity",
"maxItems": 100,
"proxyConfiguration": {
"useApifyProxy": true
}
}
```
# Actor output Schema
## `dataset` (type: `string`):
No description
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"searchKeyword": "coffee",
"kivaFilterUrl": "https://www.kiva.org/lend/filter?gender=female§or=6",
"proxyConfiguration": {
"useApifyProxy": true
}
};
// Run the Actor and wait for it to finish
const run = await client.actor("datacach/kiva-crowdfunding-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs
```
## Python example
```python
from apify_client import ApifyClient
# Initialize the ApifyClient with your Apify API token
# Replace '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"searchKeyword": "coffee",
"kivaFilterUrl": "https://www.kiva.org/lend/filter?gender=female§or=6",
"proxyConfiguration": { "useApifyProxy": True },
}
# Run the Actor and wait for it to finish
run = client.actor("datacach/kiva-crowdfunding-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"searchKeyword": "coffee",
"kivaFilterUrl": "https://www.kiva.org/lend/filter?gender=female§or=6",
"proxyConfiguration": {
"useApifyProxy": true
}
}' |
apify call datacach/kiva-crowdfunding-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=datacach/kiva-crowdfunding-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Kiva Crowdfunding Loan Scraper",
"description": "Scrape live loan listings from Kiva.org — amounts, borrowers, location, sector, and funding status — with keyword and filter support.",
"version": "0.1",
"x-build-id": "K4wbn0dxo0ipTBQ7i"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/datacach~kiva-crowdfunding-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-datacach-kiva-crowdfunding-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/datacach~kiva-crowdfunding-scraper/runs": {
"post": {
"operationId": "runs-sync-datacach-kiva-crowdfunding-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/datacach~kiva-crowdfunding-scraper/run-sync": {
"post": {
"operationId": "run-sync-datacach-kiva-crowdfunding-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"searchKeyword": {
"title": "Search keyword",
"type": "string",
"description": "Free-text search across Kiva loans, matching borrower name, loan use, and activity (for example \"coffee\", \"solar\", or \"tailor\"). Leave empty to browse without a keyword."
},
"kivaFilterUrl": {
"title": "Kiva filter URL",
"type": "string",
"description": "Optional. Configure filters on kiva.org/lend/filter, then paste the resulting URL here (for example https://www.kiva.org/lend/filter?gender=female§or=6). The individual filter fields below override any matching part of this URL; empty fields leave the URL's value in place."
},
"gender": {
"title": "Borrower gender",
"enum": [
"any",
"female",
"male",
"nonbinary",
"unspecified"
],
"type": "string",
"description": "Keep only loans for borrowers of the selected gender. Choose \"Any\" to apply no gender filter.",
"default": "any"
},
"distributionModel": {
"title": "Distribution model",
"enum": [
"any",
"fieldPartner",
"direct",
"both"
],
"type": "string",
"description": "How the loan reaches the borrower. \"Field partner\" loans are administered by a local Kiva partner organization; \"Direct\" loans go straight to the borrower; \"Both\" returns either. Choose \"Any\" to apply no filter.",
"default": "any"
},
"country": {
"title": "Countries (ISO codes)",
"type": "array",
"description": "Keep only loans from the listed borrower countries, given as two-letter ISO codes (for example MX for Mexico, KE for Kenya, PH for the Philippines). Add one code per entry. Leave empty to include all countries.",
"default": [],
"items": {
"type": "string"
}
},
"sortBy": {
"title": "Sort by",
"enum": [
"popularity",
"newest",
"expiringSoon",
"amountLeft",
"loanAmount",
"loanAmountDesc",
"repaymentTerm",
"random"
],
"type": "string",
"description": "Order in which matching loans are returned. \"Popularity\" mirrors Kiva's default lending page order; \"Expiring soon\" surfaces loans closest to their fundraising deadline.",
"default": "popularity"
},
"maxItems": {
"title": "Maximum loans",
"minimum": 1,
"type": "integer",
"description": "Maximum number of loans to scrape. A higher number takes longer and costs more compute. On the free plan the run is capped at 10 loans regardless of this value; upgrade your plan to raise the limit.",
"default": 100
},
"proxyConfiguration": {
"title": "Proxy configuration",
"type": "object",
"description": "Route API requests through Apify Proxy to avoid IP-based rate limits. Residential proxies are recommended for this Actor."
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```