# Remotive — remote job listings (`blackfalcondata/remotive-scraper`) Actor
Scrape remotive.com — curated remote-job board with structured salary data across every role · date-range filtering for fresh postings · a single run that needs no account or login. Incremental mode tracks new and changed jobs across scheduled runs.
- **URL**: https://apify.com/blackfalcondata/remotive-scraper.md
- **Developed by:** [Black Falcon Data](https://apify.com/blackfalcondata) (community)
- **Categories:** Jobs, Lead generation, Automation
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $2.00 / 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/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
### What does Remotive Scraper do?
Remotive Scraper extracts structured data on remote jobs from [remotive.com](https://remotive.com) — salary, skills, company details, full descriptions, expiry dates, and incremental change metadata. Run a keyword or category search, filter by posted date, or pull the entire remote catalog, and get clean structured JSON ready for any workflow.
**New to Apify?** [Sign up free](https://console.apify.com/sign-up?fpr=1h3gvi&fp_sid=ctaplain) and use the included $5 monthly platform credit to test this actor.
### Key features
- **🎛️ Filter by category, job type, seniority, skills & company** — narrow by category, employment type, seniority, skills (any/all) and company — or leave the query empty to pull the whole remote catalog.
- **📝 Full structured job descriptions** — Complete description as clean text, HTML and Markdown, plus valid-through expiry, structured salary, and incremental change metadata.
- **📅 Date-range filtering** — return only jobs by posted date within a start/end window — ideal for daily or weekly harvests of just what is new.
- **💰 Structured salary** — salary parsed into structured `salaryMin` / `salaryMax` / `salaryCurrency` / period — no string parsing on your side. Includes `salaryHidden` flag when the source filtered against a bracket but the listing itself doesn't disclose.
- **📋 Detail enrichment** — two-stage mode: list, then enrich each job with the full description + detail-page fields (apply counts, education, etc.). One toggle, no extra orchestration.
- **📧 Email + phone extraction** — every record carries `extractedEmails[]` and `extractedPhones[]` regex-pulled from the description — direct-outreach lists with no extra processing step.
- **♻️ Incremental mode** — recurring runs emit only NEW / UPDATED / REAPPEARED records — UNCHANGED and EXPIRED are opt-in. First run builds the baseline; subsequent runs emit and charge only for the diff. Pair with notifications for daily "new jobs" alerts to your hiring team. Saves 80–95% on daily monitoring.
- **🔔 Notifications** — Telegram, Slack, Discord, WhatsApp Cloud API, generic webhook — out of the box. Pair with incremental + `notifyOnlyChanges` for daily "new Remotive jobs" pings to your hiring channel.
### What data can you extract from Remotive?
Each result includes Core job fields (`jobId`, `jobKey`, `title`, `location`, `category`, `seniority`, `occupation`, and `skills`, and more), detail fields when enrichment is enabled (`description`, `descriptionText`, `descriptionHtml`, `descriptionMarkdown`, and `detailFetched`), apply information (`applyUrl`), and company metadata (`company`, `companyLogo`, and `companyUrl`). In standard mode, all fields are always present — unavailable data points are returned as `null`, never omitted. In compact mode, only core fields are returned.
Enable detail enrichment in the input to get richer fields such as full descriptions and company metadata where the source provides them.
### Input
The main inputs are a search keyword, an optional location filter, and a result limit. Additional filters and options are available in the input schema.
Key parameters:
- **`query`** — Job search keywords. Leave empty to browse the full catalog (optionally narrowed by the filters below). Paste a JSON array like ["react","golang"] to run several searches in one job.
- **`country`** — Which market to search. (default: `"US"`)
- **`location`** — Remote region or country to narrow results (e.g. "USA Only", "Europe").
- **`categories`** — Only return jobs in these categories (e.g. "Software Development", "Design", "Marketing"). Leave empty for all categories. (default: `[]`)
- **`jobTypes`** — Only return these employment types (e.g. "full_time", "contract", "part_time", "freelance", "internship"). Leave empty for all types. (default: `[]`)
- **`seniority`** — Only return these seniority levels (e.g. "Senior", "Mid-level", "Entry-level"). Leave empty for all levels. (default: `[]`)
- **`skills`** — Only return jobs tagged with these skills (e.g. "React", "Python", "AWS"). (default: `[]`)
- **`skillsOperator`** — How to combine multiple skills. "or" = jobs matching any skill (broader). "and" = jobs matching all skills (narrower). (default: `"or"`)
- **`companyName`** — Only return jobs from this exact company name.
- **`salaryMin`** — Only return jobs whose stated salary reaches at least this amount. Jobs without a stated salary are always kept.
- **`publishedAfter`** — Only return jobs posted on or after this date (ISO format, e.g. 2026-07-01). Jobs without a post date are always kept.
- **`publishedBefore`** — Only return jobs posted on or before this date (ISO format, e.g. 2026-07-15). Jobs without a post date are always kept.
- ...and 24 more parameters
### Input examples
**Basic search** — Keyword-driven search with a result cap.
→ Full payload per result — all standard fields populated where the source provides them.
```json
{
"query": "software engineer",
"maxResults": 50
}
````
**Incremental tracking** — Only emit jobs that changed since the previous run with this `stateKey`.
→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set `emitUnchanged: true` to include unchanged records as well.
```json
{
"query": "software engineer",
"maxResults": 200,
"incrementalMode": true,
"stateKey": "software-engineer-tracker"
}
```
**Compact output for AI agents** — Return only core fields for AI-agent and MCP workflows.
→ Small payload with the most important fields — ideal for piping into LLMs without token overhead.
```json
{
"query": "software engineer",
"maxResults": 50,
"compact": true
}
```
### Output
Each run produces a dataset of structured job records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.
### Example job record
```json
{
"jobId": "6fcd683a3cf206e372e1a6942de21c79512624393403dba93b8b5519cfb51e09",
"jobKey": "460445",
"title": "Senior Independent Software Developer",
"company": "A.Team",
"companyLogo": "https://remotive.com/job/1919265/logo",
"companyUrl": "http://a.team/ai-jobs?utm_source=remotive&utm_medium=post&utm_campaign=welikeremotiveAI",
"location": "Americas, Europe, Israel",
"category": "Software Development",
"seniority": "senior",
"occupation": "senior software developer",
"description": "Jul 16, 2026 - A.Team is hiring a remote Senior Independent Software Developer. 💸 Salary: $90 - $150 /hour. 📍Location: Americas, Europe, Israel.You must be located in the Americas, Europe, or Israel...",
"descriptionText": "Jul 16, 2026 - A.Team is hiring a remote Senior Independent Software Developer. 💸 Salary: $90 - $150 /hour. 📍Location: Americas, Europe, Israel.You must be located in the Americas, Europe, or Israel...",
"descriptionHtml": "Jul 16, 2026 - A.Team is hiring a remote Senior Independent Software Developer. 💸 Salary: $90 - $150 /hour. 📍Location: Americas, Europe, Israel.
' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"query": "software engineer",
"maxResults": 5
};
// Run the Actor and wait for it to finish
const run = await client.actor("blackfalcondata/remotive-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = {
"query": "software engineer",
"maxResults": 5,
}
# Run the Actor and wait for it to finish
run = client.actor("blackfalcondata/remotive-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 '{
"query": "software engineer",
"maxResults": 5
}' |
apify call blackfalcondata/remotive-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=blackfalcondata/remotive-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Remotive — remote job listings",
"description": "Scrape remotive.com — curated remote-job board with structured salary data across every role · date-range filtering for fresh postings · a single run that needs no account or login. Incremental mode tracks new and changed jobs across scheduled runs.",
"version": "0.1",
"x-build-id": "NSrO5dczWzwJanFo9"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/blackfalcondata~remotive-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-blackfalcondata-remotive-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/blackfalcondata~remotive-scraper/runs": {
"post": {
"operationId": "runs-sync-blackfalcondata-remotive-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/blackfalcondata~remotive-scraper/run-sync": {
"post": {
"operationId": "run-sync-blackfalcondata-remotive-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"query": {
"title": "🔍 Search Term(s)",
"type": "string",
"description": "Job search keywords. Leave empty to browse the full catalog (optionally narrowed by the filters below). Paste a JSON array like [\"react\",\"golang\"] to run several searches in one job."
},
"country": {
"title": "🌍 Country",
"enum": [
"US"
],
"type": "string",
"description": "Which market to search.",
"default": "US"
},
"location": {
"title": "📍 Location",
"type": "string",
"description": "Remote region or country to narrow results (e.g. \"USA Only\", \"Europe\")."
},
"categories": {
"title": "🗂️ Categories",
"type": "array",
"description": "Only return jobs in these categories (e.g. \"Software Development\", \"Design\", \"Marketing\"). Leave empty for all categories.",
"items": {
"type": "string"
},
"default": []
},
"jobTypes": {
"title": "💼 Job Types",
"type": "array",
"description": "Only return these employment types (e.g. \"full_time\", \"contract\", \"part_time\", \"freelance\", \"internship\"). Leave empty for all types.",
"items": {
"type": "string"
},
"default": []
},
"seniority": {
"title": "📈 Seniority",
"type": "array",
"description": "Only return these seniority levels (e.g. \"Senior\", \"Mid-level\", \"Entry-level\"). Leave empty for all levels.",
"items": {
"type": "string"
},
"default": []
},
"skills": {
"title": "🛠️ Skills",
"type": "array",
"description": "Only return jobs tagged with these skills (e.g. \"React\", \"Python\", \"AWS\").",
"items": {
"type": "string"
},
"default": []
},
"skillsOperator": {
"title": "🔗 Skills Match",
"enum": [
"or",
"and"
],
"type": "string",
"description": "How to combine multiple skills. \"or\" = jobs matching any skill (broader). \"and\" = jobs matching all skills (narrower).",
"default": "or"
},
"companyName": {
"title": "🏢 Company Name",
"type": "string",
"description": "Only return jobs from this exact company name."
},
"salaryMin": {
"title": "💰 Minimum Salary",
"minimum": 0,
"type": "integer",
"description": "Only return jobs whose stated salary reaches at least this amount. Jobs without a stated salary are always kept."
},
"publishedAfter": {
"title": "📅 Published After",
"type": "string",
"description": "Only return jobs posted on or after this date (ISO format, e.g. 2026-07-01). Jobs without a post date are always kept."
},
"publishedBefore": {
"title": "📅 Published Before",
"type": "string",
"description": "Only return jobs posted on or before this date (ISO format, e.g. 2026-07-15). Jobs without a post date are always kept."
},
"maxResults": {
"title": "💯 Max Results",
"minimum": 0,
"maximum": 1000,
"type": "integer",
"description": "Maximum total results (0 = unlimited).",
"default": 25
},
"includeDetails": {
"title": "📋 Include Full Details",
"type": "boolean",
"description": "Fetch full job details.",
"default": true
},
"descriptionMaxLength": {
"title": "✂️ Description Max Length",
"minimum": 0,
"type": "integer",
"description": "Truncate description to N chars. 0 = no truncation.",
"default": 0
},
"compact": {
"title": "📦 Compact Output",
"type": "boolean",
"description": "Core fields only (for AI-agent/MCP workflows).",
"default": false
},
"descriptionFormat": {
"title": "📝 Description Format",
"enum": [
"all",
"text",
"html",
"markdown"
],
"type": "string",
"description": "Which description representations to emit. `all` keeps description + descriptionText + descriptionHtml + descriptionMarkdown (default, back-compat). `text` / `html` / `markdown` keep only one variant — typically halves output size.",
"default": "all"
},
"excludeEmptyFields": {
"title": "🧹 Exclude Empty Fields",
"type": "boolean",
"description": "Drop null / empty-string / empty-array fields (and fully-null nested objects like socialProfiles) from each output record. Off by default to preserve dataset schema compatibility; turn on to slim output for LLM / agent consumption.",
"default": false
},
"incrementalMode": {
"title": "♻️ Incremental Mode",
"type": "boolean",
"description": "Compare against previous run state and label each result as new, updated, unchanged, or expired. stateKey is optional — when left empty it is derived automatically from your search inputs so different searches never share state.",
"default": false
},
"stateKey": {
"title": "🔑 State Key",
"type": "string",
"description": "Optional. Stable identifier for the tracked search universe. Leave empty to auto-generate from search inputs."
},
"emitUnchanged": {
"title": "♻️ Emit Unchanged",
"type": "boolean",
"description": "Also emit jobs that have not changed since the last run (incrementalMode only).",
"default": false
},
"emitExpired": {
"title": "⚰️ Emit Expired",
"type": "boolean",
"description": "Also emit jobs that have disappeared since the last run (incrementalMode only).",
"default": false
},
"skipReposts": {
"title": "🚫 Skip Reposts",
"type": "boolean",
"description": "When incremental, skip jobs whose content matches an expired job from a prior run (cross-run repost detection).",
"default": false
},
"telegramToken": {
"title": "🔑 Telegram Bot Token",
"type": "string",
"description": "Telegram bot token (from @BotFather). Required for Telegram notifications."
},
"telegramChatId": {
"title": "💬 Telegram Chat ID",
"type": "string",
"description": "Telegram chat or channel ID (e.g. \"-100123456789\"). Required when telegramToken is set."
},
"discordWebhookUrl": {
"title": "🎮 Discord Webhook URL",
"type": "string",
"description": "Discord incoming webhook URL. Server Settings → Integrations → Webhooks → New Webhook."
},
"slackWebhookUrl": {
"title": "💼 Slack Webhook URL",
"type": "string",
"description": "Slack incoming webhook URL. api.slack.com/messaging/webhooks."
},
"notificationLimit": {
"title": "📊 Max Jobs Per Notification",
"minimum": 1,
"maximum": 20,
"type": "integer",
"description": "Maximum number of jobs included in each notification message (1–20).",
"default": 5
},
"notifyOnlyChanges": {
"title": "🔄 Notify Only New/Updated",
"type": "boolean",
"description": "When Incremental Mode is on, only send notifications for NEW and UPDATED jobs. Has no effect outside incremental mode.",
"default": false
},
"whatsappAccessToken": {
"title": "📱 WhatsApp Access Token",
"type": "string",
"description": "WhatsApp Cloud API permanent access token (System User token from Meta Business). Recipient must have messaged the business number within the last 24h (service-conversation window — free since Nov 2024)."
},
"whatsappPhoneNumberId": {
"title": "📞 WhatsApp Phone Number ID",
"type": "string",
"description": "Your WhatsApp Business phone-number ID (numeric, from Meta dashboard). Required when whatsappAccessToken is set."
},
"whatsappTo": {
"title": "📲 WhatsApp Recipient",
"type": "string",
"description": "Recipient phone in E.164 format without + (e.g. \"436641234567\"). Recipient must have messaged your business number within last 24h."
},
"webhookUrl": {
"title": "🪝 Generic Webhook URL",
"type": "string",
"description": "Receives a JSON POST with {metadata, items} after each run. Universal escape hatch for n8n / Make / Zapier / custom backends."
},
"webhookHeaders": {
"title": "📋 Webhook Headers",
"type": "object",
"description": "Optional JSON object of custom headers (e.g. {\"Authorization\":\"Bearer ...\"})."
},
"appConnector": {
"title": "Send results to a connected app",
"type": "string",
"description": "Optional. Pick a connected app under Settings → API & Integrations to receive your results (including any contact details). Best-effort across MCP connectors as Apify expands its catalog."
},
"mcpIssueTeam": {
"title": "Issue tracker team",
"type": "string",
"description": "Only when the connected app is an issue tracker: the team (name or ID) the summary issue is created under, if that app requires one."
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```