# ZipRecruiter Scraper | $1 / 1k | Fast & Reliable (`scrapers-hub/ziprecruiter-scraper`) Actor

ZipRecruiter scraper extracts publicly available job listings, company names, job titles, locations, salaries (when available), posting dates, and job details 💼📊 Perfect for recruitment, talent sourcing, job market research, and employment trend analysis.

- **URL**: https://apify.com/scrapers-hub/ziprecruiter-scraper.md
- **Developed by:** [Scrapers Hub](https://apify.com/scrapers-hub) (community)
- **Categories:** Jobs, 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 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## ZipRecruiter Search Scraper (Actor)

Scrapes ZipRecruiter job-search results into structured job objects. Built with
**requests → curl\_cffi fallback**, **parsel** (CSS selectors), **regex**, and an
optional **proxy** path for Cloudflare.

### Input

```json
{
  "queries": ["software engineer", "data analyst"],
  "location": "New York, NY",
  "radius": 25,
  "location_remote": true,
  "days": "10",
  "refineByApplyType": true,
  "limit": 1500,
  "proxy_url": null,
  "max_pages_per_query": 40
}
```

| Field | Meaning |
|---|---|
| `queries` | One ZipRecruiter search per term. |
| `location` / `radius` | Base location and search radius (miles). |
| `location_remote` | `true` → `refine_by_location_type=remote`. |
| `days` | Only jobs posted in the last N days (`""` = any time). |
| `refineByApplyType` | Enables ZipRecruiter's apply-type refinement. |
| `limit` | Max jobs across all queries (deduped by listing key). |
| `proxy_url` | Residential/unblocker proxy — **required in production** (see below). |

### Output

One object per job, matching the reference schema:

```
{ job, source, company, location, compensation, employment, descriptions, application }
```

- `application.apply_url` carries a base64 `match_token`; the scraper decodes it
  to recover `listing_key`, `match_id`, `bid_tracking_data`, and the external
  apply URL.
- `source` records the search URL, page index, scrape time, and seed.

### How it fetches (requests → curl\_cffi → proxy)

1. Plain `requests` GET (cheapest).
2. On a block signature (403/429/503 or a Cloudflare interstitial), retry with
   `curl_cffi` impersonating real Chrome/Safari TLS fingerprints, cycling
   profiles.
3. All requests can route through `proxy_url`.

Extraction is layered so it survives markup changes:
embedded application-state JSON → `application/ld+json` JobPosting → parsel CSS
job cards.

### ⚠️ Cloudflare note

ZipRecruiter is behind a Cloudflare **managed challenge** (`cf-mitigated:
challenge`) on both the web search page and the mobile API. TLS impersonation
alone (curl\_cffi) does **not** solve an active JS challenge — verified live, it
returns the "Just a moment…" page. To collect real data you must supply a
`proxy_url` that clears the challenge (residential proxy or a
Cloudflare-solving unblocker/scraping API). Without it the actor runs cleanly
and returns an empty dataset instead of crashing.

### Run

```bash
pip install -r requirements.txt

## Standalone (reads ./INPUT.json, writes ./output/dataset.json)
python main.py
python main.py path/to/input.json

## As an Apify Actor
apify run
```

# Actor input Schema

## `queries` (type: `array`):

Free-text job keywords such as software engineer, data analyst, or marketing manager. One search runs per keyword.

## `location` (type: `string`):

Optional location applied to every query. Leave empty for a nationwide search.

## `location_remote` (type: `boolean`):

When enabled, forces ZipRecruiter remote search mode (overrides location to US and work arrangement to remote-only).

## `radius` (type: `string`):

Optional distance filter in miles.

## `remote_options` (type: `string`):

Optional work arrangement filter.

## `days` (type: `string`):

Optional date-posted filter.

## `refineByEmployment` (type: `string`):

Optional employment type filter.

## `refineBySalary` (type: `integer`):

Optional minimum salary floor.

## `refineBySalaryCeil` (type: `integer`):

Optional maximum salary ceiling.

## `refineByApplyType` (type: `boolean`):

When enabled, only listings where Quick Apply is available are returned.

## `refineByExperienceLevel` (type: `array`):

Optional experience level filter. Provide one or more values.

## `limit` (type: `integer`):

Maximum number of listings to save for each query. Pagination stops early when ZipRecruiter runs out of results.

## `proxyConfiguration` (type: `object`):

Apify Proxy or custom proxy URLs.

## `proxy_url` (type: `string`):

Optional explicit proxy (http://user:pass@host:port). Overrides the proxy configuration above.

## `max_pages_per_query` (type: `integer`):

Safety cap on result pages paginated per keyword (20 jobs per page).

## Actor input object example

```json
{
  "queries": [
    "software engineer",
    "data analyst"
  ],
  "location_remote": false,
  "remote_options": "",
  "days": "",
  "refineByEmployment": "",
  "refineByApplyType": false,
  "limit": 50000,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  },
  "max_pages_per_query": 100
}
```

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "queries": [
        "software engineer",
        "data analyst"
    ],
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapers-hub/ziprecruiter-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "queries": [
        "software engineer",
        "data analyst",
    ],
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("scrapers-hub/ziprecruiter-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 '{
  "queries": [
    "software engineer",
    "data analyst"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call scrapers-hub/ziprecruiter-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=scrapers-hub/ziprecruiter-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/UvDRO5hWkH4uLch7m/builds/KfMMlxv2FewZPTQ2p/openapi.json