# Peopleperhour Bidders Spider (`getdataforme/peopleperhour-bidders-spider`) Actor
The Peopleperhour Bidders Spider efficiently extracts detailed bidder profiles from Peopleperhour projects, offering insights into skills, rates, and industry expertise....
- **URL**: https://apify.com/getdataforme/peopleperhour-bidders-spider.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** AI, E-commerce, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $9.00 / 1,000 results
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
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.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.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/platform/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
## Peopleperhour Bidders Spider
### Introduction
The Peopleperhour Bidders Spider is designed to efficiently extract detailed information about bidders on Peopleperhour projects. This actor provides valuable insights into freelancer profiles, enabling businesses and researchers to analyze market trends, assess competitive landscapes, and make informed decisions.
### Features
- **Comprehensive Data Extraction**: Retrieves detailed bidder profiles including skills, hourly rates, and industry expertise.
- **High Data Quality**: Ensures accurate and up-to-date information from Peopleperhour listings.
- **Performance Efficiency**: Optimized for fast and reliable data scraping.
- **Customizable Inputs**: Easily configure start URLs to target specific projects.
- **Scalable Solution**: Suitable for both small-scale and large-scale data collection needs.
- **User-Friendly Interface**: Simple setup and execution process.
- **Versatile Output Formats**: Export data in JSON, CSV, or Excel formats.
### Input Parameters
| Parameter | Type | Required | Description | Example |
|------------|--------|----------|--------------------------------------------------|-------------------------------------------------------------------------|
| StartUrls | Array | No | The start URLs for the spider. | `["https://www.peopleperhour.com/freelance-jobs/technology-programming/programming-coding/python-node-js-automation-developer-for-cryptocurrency-bot-4448506"]` |
### Example Usage
#### Example Input JSON
```json
{
"StartUrls": [
"https://www.peopleperhour.com/freelance-jobs/technology-programming/programming-coding/python-node-js-automation-developer-for-cryptocurrency-bot-4448506"
]
}
````
#### Example Output JSON
```json
[
{
"name": "Syed Muhammad M.",
"title": "Full Stack Developer",
"country": "United States",
"hourly_rate": "$20",
"languages": [],
"skills": [
"Database development",
"Linux",
"Mysql",
"Back end developer",
"Custom web development",
"Desktop development",
"Django-cms",
"Front end developer",
"Full stack developer",
"Mobile applications design",
"Node js",
"React js",
"Rest api",
"Website design",
"Python web framework"
],
"industry_expertise": "IT, Software and Technology",
"stats": {
"Projects listed": "0",
"Freelancers worked with": "0",
"Last active": "Apr 16 2026",
"Response time": "within a day",
"Projects worked on": "2",
"Buyers worked with": "2"
},
"about": "Experienced Python Django Developer | Backend Specialist | Full-Stack Capable Iām a Python Django developer with 3+ years of experience delivering high-quality web applications, APIs, and automation solutions.",
"profile_url": "https://www.peopleperhour.com/freelancer/technology-programming/syed_muhammad-mehdi-full-stack-developer-zzyjyxyq",
"actor_id": "hkt3viEc0UXgJc0Jj",
"run_id": "AEZXgRkw6LrPvNeWS"
}
]
```
### Use Cases
- **Market Research and Analysis**: Gather data to understand freelancer demographics and trends.
- **Competitive Intelligence**: Analyze competitor profiles and strategies.
- **Price Monitoring**: Track hourly rates and pricing strategies.
- **Content Aggregation**: Compile freelancer profiles for content creation.
- **Academic Research**: Study freelancer market dynamics and behaviors.
- **Business Automation**: Automate data collection for strategic planning.
### Installation and Usage
1. Search for "Peopleperhour Bidders Spider" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters.
4. Click "Start" to begin extraction.
5. Monitor progress in the log.
6. Export results in your preferred format (JSON, CSV, Excel).
### Output Format
The output is a JSON array containing detailed bidder profiles with fields such as `name`, `title`, `country`, `hourly_rate`, `skills`, `industry_expertise`, `stats`, `about`, and `profile_url`. This structured data allows for easy analysis and integration into various applications.
### Support
For custom/simplified outputs or bug reports, please contact:
- Email: support@getdataforme.com
- Subject line: "custom support"
- Contact form:
We're here to help you get the most out of this Actor!
# Actor input Schema
## `StartUrls` (type: `array`):
The start urls for the spider.
## Actor input object example
```json
{
"StartUrls": [
"https://www.peopleperhour.com/freelance-jobs/technology-programming/programming-coding/python-node-js-automation-developer-for-cryptocurrency-bot-4448506"
]
}
```
# 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 = {};
// Run the Actor and wait for it to finish
const run = await client.actor("getdataforme/peopleperhour-bidders-spider").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`š¾ 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);
});
// š Want to learn more š? Go to ā 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 = {}
# Run the Actor and wait for it to finish
run = client.actor("getdataforme/peopleperhour-bidders-spider").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("š¾ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# š Want to learn more š? Go to ā https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{}' |
apify call getdataforme/peopleperhour-bidders-spider --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=getdataforme/peopleperhour-bidders-spider",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Peopleperhour Bidders Spider",
"description": "The Peopleperhour Bidders Spider efficiently extracts detailed bidder profiles from Peopleperhour projects, offering insights into skills, rates, and industry expertise....",
"version": "0.0",
"x-build-id": "yGnUudQm6CAR9MRhF"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/getdataforme~peopleperhour-bidders-spider/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-getdataforme-peopleperhour-bidders-spider",
"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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/getdataforme~peopleperhour-bidders-spider/runs": {
"post": {
"operationId": "runs-sync-getdataforme-peopleperhour-bidders-spider",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/getdataforme~peopleperhour-bidders-spider/run-sync": {
"post": {
"operationId": "run-sync-getdataforme-peopleperhour-bidders-spider",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"StartUrls": {
"title": "Start Urls",
"minItems": 1,
"type": "array",
"description": "The start urls for the spider.",
"default": [
"https://www.peopleperhour.com/freelance-jobs/technology-programming/programming-coding/python-node-js-automation-developer-for-cryptocurrency-bot-4448506"
],
"items": {
"type": "string"
}
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```