# Sequoiacap Jobs Search Scraper (`alexist/sequoiacap-jobs-search-scraper`) Actor

Scrape Sequoia Capital's job board to extract 38+ fields per listing including titles, company details, salaries, skills, locations, and application URLs. Perfect for recruiters sourcing VC-backed talent, researchers analyzing startup hiring trends, or platforms aggregating high-quality job data.

- **URL**: https://apify.com/alexist/sequoiacap-jobs-search-scraper.md
- **Developed by:** [Alex](https://apify.com/alexist) (community)
- **Categories:** Automation, Developer tools, Jobs
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

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

## 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`.
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- **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

## Sequoia Cap Jobs Search Scraper: Extract VC Job Listings Instantly

***

### What Is Sequoia Cap?

Sequoia Capital's jobs board (jobs.sequoiacap.com) hosts positions from Sequoia-backed companies and portfolio firms worldwide. It attracts top talent seeking roles at venture-funded startups and established companies across technology, enterprise, fintech, and consumer sectors. Collecting and analyzing this data manually is laborious — the **Sequoia Cap Jobs Search Scraper** automates extraction, delivering structured, actionable job intelligence at scale.

***

### Overview

The **Sequoia Cap Jobs Search Scraper** extracts comprehensive job search results from Sequoia Capital's jobs board, transforming listings into clean, queryable records with 38+ data points per entry. It serves:

- **Recruiters & talent teams** sourcing candidates from high-growth startups
- **Researchers** analyzing venture-backed company hiring patterns and market trends
- **Job aggregators** building curated datasets of premium startup roles
- **Career analysts** studying compensation, skills demand, and location trends in VC-backed companies
- **Investors** tracking hiring activity as a signal of portfolio company growth

Key advantages include configurable limits per URL, robust error handling via `ignore_url_failures`, and comprehensive structured output covering company metadata, job requirements, and application details.

***

### Input Format

The scraper accepts a JSON configuration object to specify which job listings to scrape:

```json
{
  "urls": [
    "https://jobs.sequoiacap.com/jobs/"
  ],
  "ignore_url_failures": true,
  "max_items_per_url": 20
}
```

#### Input Parameters Explained

| Parameter | Type | Description | Example |
|---|---|---|---|
| `urls` | Array | Job board URLs to scrape (typically the main jobs list page or filtered results) | `["https://jobs.sequoiacap.com/jobs/"]` |
| `ignore_url_failures` | Boolean | If `true`, scraper continues even if some URLs fail; if `false`, stops on first error | `true` |
| `max_items_per_url` | Integer | Maximum number of job listings extracted per URL | `20`, `100`, or omit for all |

**Best practices:**

- Use the main jobs list URL or apply filters on Sequoia's site, then copy the filtered URL
- Set `max_items_per_url` to control scrape volume (e.g., `100` for large runs)
- Enable `ignore_url_failures` for robust batch operations

***

### Output Format

**Sample output**

```json
{
  "apply_url": "https://jobs.gem.com/bigpanda/am9icG9zdDqSvn091vw86rxkrJ8saZbu?utm_source=jobs.sequoiacap.com",
  "company_domain": "bigpanda.io",
  "company_logos": {
    "manual": {
      "height": 160,
      "src": "https://dzh2zima160vx.cloudfront.net/logo/379a2d633ca42e464b33e9fb7676ec48_288_160?Expires=1861920000&Signature=lwSqcN9QQMuxHrM53UKktEJy3sYioHgxbMl41-H4pIbH~LCrfo4gxcIjolPTBeJw54meomIOwGUMU22ic3V1CbqZVo5TRA0ovvxZWZfnnnSaNzzE1dSalkB~U0hMWyN~7zIHgMl-tMBSHyrRgVtUIRWbQ1DO59Se4AIobJC9ut73Wow6T3YGwPbJmVw53EHPj8Fjr~avqP-K1190v5smthiHBLwBjWdnd7P6XOyn1PeuNOiJX4br0D~IWcqCD6HfQeFNz1QhGLJIvraKbTIwRR4ewbxTYdrLas0DcuPBbKOhBTGuS99OcNyd-1o7mAgzREjo7nzTRnvx7HZXgLnbVw__&Key-Pair-Id=APKAII5OVX4LZ3WT422Q",
      "width": 288
    },
    "linkedin": {
      "height": 100,
      "src": "https://dzh2zima160vx.cloudfront.net/profile/cf30b9916f802b5cecf5b2b7479e1e87_100_100?Expires=1893456000&Signature=FB05hBFnajKrBFS2rQ8DIVpKu8J8FeQnHRN0AIsMO8ttsfEwNDMdjjgxYTLTyTqYAq-lZoSg21gilo1c3lPa4EB0sCUg2gZe4hwisc6JLMBZgIloASL8Z48mO3UjyJcduINrJfIs4bwGDTJTVvzX7sreKSnQYXAlscYqSLJ2m5CRHH6Sy6UR18x1gvgfqISRQYGIYCi1k72THw3I5LmKhT1~PxINKEpzt6ScaWI0cWipxnEG~uUcfKXinZ~w~F3mRbFjPdaXAFNomYGeA82GRSU6F3JLvdpgKml~l4tyeCG7ZfLzE54i~k2xSSDYeZIGvyKjMUb6crA-rSfEZ3QTbg__&Key-Pair-Id=APKAII5OVX4LZ3WT422Q",
      "width": 100
    }
  },
  "company_id": "BigPanda",
  "company_slug": "bigpanda",
  "company_name": "BigPanda",
  "company_staff_count": 333,
  "consider_hosted": false,
  "departments": [
    "Sales Development"
  ],
  "job_types": [
    {
      "id": "sales-development-rep",
      "label": "Sales Development Representative",
      "value": "sales-development-rep"
    }
  ],
  "job_functions": [
    {
      "id": "Sales",
      "label": "Sales",
      "value": "Sales"
    }
  ],
  "locations": [
    "Philadelphia Office"
  ],
  "normalized_locations": [
    {
      "id": "Philadelphia, Pennsylvania",
      "label": "Philadelphia, Pennsylvania",
      "value": "Philadelphia, Pennsylvania"
    }
  ],
  "salary": {
    "period": {
      "label": "Year",
      "value": "year"
    },
    "min_value": 70000,
    "max_value": 70000,
    "currency": {
      "label": "USD",
      "value": "USD"
    },
    "is_original": true
  },
  "skills": [
    {
      "id": "resume:Business Development",
      "label": "Business Development",
      "value": "resume:Business Development"
    },
    {
      "id": "resume:Sales Development",
      "label": "Sales Development",
      "value": "resume:Sales Development"
    },
    {
      "id": "resume:MEDDIC",
      "label": "MEDDIC",
      "value": "resume:MEDDIC"
    },
    {
      "id": "resume:Outreach.io",
      "label": "Outreach.io",
      "value": "resume:Outreach.io"
    },
    {
      "id": "resume:Linkedin Sales Navigator",
      "label": "Linkedin Sales Navigator",
      "value": "resume:Linkedin Sales Navigator"
    },
    {
      "id": "resume:Organization Skills",
      "label": "Organization Skills",
      "value": "resume:Organization Skills"
    },
    {
      "id": "resume:Cold Calling",
      "label": "Cold Calling",
      "value": "resume:Cold Calling"
    },
    {
      "id": "resume:Salesforce",
      "label": "Salesforce",
      "value": "resume:Salesforce"
    },
    {
      "id": "resume:Driving Results",
      "label": "Driving Results",
      "value": "resume:Driving Results"
    }
  ],
  "required_skills": [
    {
      "id": "resume:Business Development",
      "label": "Business Development",
      "value": "resume:Business Development"
    },
    {
      "id": "resume:Sales Development",
      "label": "Sales Development",
      "value": "resume:Sales Development"
    },
    {
      "id": "resume:MEDDIC",
      "label": "MEDDIC",
      "value": "resume:MEDDIC"
    }
  ],
  "preferred_skills": [
    {
      "id": "resume:Outreach.io",
      "label": "Outreach.io",
      "value": "resume:Outreach.io"
    },
    {
      "id": "resume:Linkedin Sales Navigator",
      "label": "Linkedin Sales Navigator",
      "value": "resume:Linkedin Sales Navigator"
    },
    {
      "id": "resume:Organization Skills",
      "label": "Organization Skills",
      "value": "resume:Organization Skills"
    },
    {
      "id": "resume:Cold Calling",
      "label": "Cold Calling",
      "value": "resume:Cold Calling"
    },
    {
      "id": "resume:Salesforce",
      "label": "Salesforce",
      "value": "resume:Salesforce"
    },
    {
      "id": "resume:Driving Results",
      "label": "Driving Results",
      "value": "resume:Driving Results"
    }
  ],
  "manager": false,
  "consultant": false,
  "contractor": false,
  "consider_levels": [
    [
      1,
      2
    ],
    [
      3,
      4
    ]
  ],
  "regions": [
    {
      "id": "North America",
      "label": "North America",
      "value": "North America"
    },
    {
      "id": "Northeast",
      "label": "Northeast",
      "value": "Northeast"
    },
    {
      "id": "Mid Atlantic",
      "label": "Mid Atlantic",
      "value": "Mid Atlantic"
    },
    {
      "id": "Rust Belt",
      "label": "Great Lakes Region",
      "value": "Rust Belt"
    }
  ],
  "stages": [
    {
      "id": "100-1000 employees",
      "label": "100-1000 employees",
      "value": "100-1000 employees"
    },
    {
      "id": "Growth",
      "label": "Growth",
      "value": "Growth"
    }
  ],
  "funding_lv": null,
  "markets": [
    {
      "id": "Enterprise Software",
      "label": "Enterprise Software",
      "value": "Enterprise Software"
    },
    {
      "id": "IT and Services",
      "label": "IT and Services",
      "value": "IT and Services"
    },
    {
      "id": "Productivity",
      "label": "Productivity",
      "value": "Productivity"
    },
    {
      "id": "SaaS",
      "label": "SaaS",
      "value": "SaaS"
    }
  ],
  "time_stamp": "2026-07-16T23:58:10Z",
  "title": "Sales Development Representative",
  "url": "https://jobs.gem.com/bigpanda/am9icG9zdDqSvn091vw86rxkrJ8saZbu",
  "job_id": "am9icG9zdDqSvn091vw86rxkrJ8saZbu",
  "remote": false,
  "hybrid": false,
  "scores": {
    "score": 1.191959182275463,
    "match_score": 0,
    "age_score": 0.991959182275463,
    "richness_score": 2
  },
  "ats_jobs": [],
  "matching_talent": {
    "count": 0,
    "matches": []
  },
  "job_seniorities": [
    {
      "id": "mid",
      "label": "Mid",
      "value": "mid"
    }
  ],
  "job_seniority_ids": [
    "mid"
  ],
  "is_featured": false,
  "company": {
    "description": "BigPanda is the only Event Correlation and Automation platform built for domain-agnostic AIOps. We transform how IT teams prevent outages and resolve incidents by turning data into insights and action. Without BigPanda, IT Ops and DevOps teams struggle with manual and reactive incident response capabilities that are badly suited for the scale, complexity and velocity of modern IT environments. This results in painful outages, unhappy customers, growing IT headcount and the inability to focus on innovation.\n\nFortune 500 enterprises such as Intel, Cisco, United, Nike, Marriott and Expedia rely on BigPanda to prevent outages, reduce costs, and give their teams time back for digital transformation. BigPanda helps organizations take a giant step towards Autonomous IT Operations by turning IT noise into insights and manual tasks into automated actions. BigPanda is backed by top-tier investors including Sequoia Capital, Mayfield, Battery Ventures, Greenfield Partners and Insight Partners. Visit www.bigpanda.io for more information.",
    "domain": "bigpanda.io",
    "email_domains": [
      "bigpanda.io"
    ],
    "id": "BigPanda",
    "investor_slugs": [
      "advent-international",
      "battery-ventures",
      "sequoia-capital",
      "techaviv"
    ],
    "investors": [
      "Advent International",
      "Battery Ventures",
      "Sequoia Capital",
      "TechAviv"
    ],
    "job_sources": [],
    "logos": {
      "manual": {
        "height": 160,
        "src": "https://dzh2zima160vx.cloudfront.net/logo/379a2d633ca42e464b33e9fb7676ec48_288_160?Expires=1861920000&Signature=lwSqcN9QQMuxHrM53UKktEJy3sYioHgxbMl41-H4pIbH~LCrfo4gxcIjolPTBeJw54meomIOwGUMU22ic3V1CbqZVo5TRA0ovvxZWZfnnnSaNzzE1dSalkB~U0hMWyN~7zIHgMl-tMBSHyrRgVtUIRWbQ1DO59Se4AIobJC9ut73Wow6T3YGwPbJmVw53EHPj8Fjr~avqP-K1190v5smthiHBLwBjWdnd7P6XOyn1PeuNOiJX4br0D~IWcqCD6HfQeFNz1QhGLJIvraKbTIwRR4ewbxTYdrLas0DcuPBbKOhBTGuS99OcNyd-1o7mAgzREjo7nzTRnvx7HZXgLnbVw__&Key-Pair-Id=APKAII5OVX4LZ3WT422Q",
        "width": 288
      },
      "linkedin": {
        "height": 100,
        "src": "https://dzh2zima160vx.cloudfront.net/profile/cf30b9916f802b5cecf5b2b7479e1e87_100_100?Expires=1893456000&Signature=FB05hBFnajKrBFS2rQ8DIVpKu8J8FeQnHRN0AIsMO8ttsfEwNDMdjjgxYTLTyTqYAq-lZoSg21gilo1c3lPa4EB0sCUg2gZe4hwisc6JLMBZgIloASL8Z48mO3UjyJcduINrJfIs4bwGDTJTVvzX7sreKSnQYXAlscYqSLJ2m5CRHH6Sy6UR18x1gvgfqISRQYGIYCi1k72THw3I5LmKhT1~PxINKEpzt6ScaWI0cWipxnEG~uUcfKXinZ~w~F3mRbFjPdaXAFNomYGeA82GRSU6F3JLvdpgKml~l4tyeCG7ZfLzE54i~k2xSSDYeZIGvyKjMUb6crA-rSfEZ3QTbg__&Key-Pair-Id=APKAII5OVX4LZ3WT422Q",
        "width": 100
      }
    },
    "markets": [
      "Enterprise Software",
      "IT and Services",
      "Productivity",
      "SaaS"
    ],
    "markets_l_v": [
      {
        "id": "Enterprise Software",
        "label": "Enterprise Software",
        "value": "Enterprise Software"
      },
      {
        "id": "IT and Services",
        "label": "IT and Services",
        "value": "IT and Services"
      },
      {
        "id": "Productivity",
        "label": "Productivity",
        "value": "Productivity"
      },
      {
        "id": "SaaS",
        "label": "SaaS",
        "value": "SaaS"
      }
    ],
    "office_locations": [
      "Mountain View, California",
      "Tel Aviv Area, Israel"
    ],
    "office_locations_l_v": [
      {
        "id": "Mountain View, California",
        "label": "Mountain View, California",
        "value": "Mountain View, California"
      },
      {
        "id": "Tel Aviv Area, Israel",
        "label": "Tel Aviv Area, Israel",
        "value": "Tel Aviv Area, Israel"
      }
    ],
    "skills": [],
    "skills_l_v": [],
    "staff_count": 333,
    "name": "BigPanda",
    "num_jobs": 13,
    "num_remote_jobs": 9,
    "fraction_remote": 0.6923076923076923,
    "num_internships": 0,
    "num_manager_jobs": 1,
    "parent_slugs": [
      "advent-international",
      "battery-ventures",
      "sequoia-capital",
      "techaviv"
    ],
    "parents": [
      "Advent International",
      "Battery Ventures",
      "Sequoia Capital",
      "TechAviv"
    ],
    "slug": "bigpanda",
    "stages": [
      "100-1000 employees",
      "Growth"
    ],
    "stages_l_v": [
      {
        "id": "100-1000 employees",
        "label": "100-1000 employees",
        "value": "100-1000 employees"
      },
      {
        "id": "Growth",
        "label": "Growth",
        "value": "Growth"
      }
    ],
    "funding_l_v": {
      "id": "Growth",
      "label": "Growth",
      "value": "Growth"
    },
    "size_l_v": {
      "id": "100-1000 employees",
      "label": "100-1000 employees",
      "value": "100-1000 employees"
    },
    "is_featured": false,
    "is_remote_friendly": false,
    "website": {
      "url": "https://bigpanda.io/",
      "label": "bigpanda.io"
    }
  },
  "from_url": "https://jobs.sequoiacap.com/jobs/"
}
```

Each job listing returns a rich record with 38+ structured fields:

#### Apply & Application

| Field | Meaning |
|---|---|
| `Apply URL` | Direct link to apply or submit application |
| `Job ID` | Unique internal identifier for the job posting |
| `URL` | Full URL of the job detail page on Sequoia's site |

#### Company Information

| Field | Meaning |
|---|---|
| `Company` | Company object containing full company details |
| `Company Name` | Display name of the employer |
| `Company Domain` | Company website domain (e.g., example.com) |
| `Company ID` | Unique internal identifier for the company |
| `Company Slug` | URL-friendly company name identifier |
| `Company Logos` | Array of logo image URLs in various sizes |
| `Company Staff Count` | Estimated number of employees |

#### Job Details & Classification

| Field | Meaning |
|---|---|
| `Title` | Job title as displayed (e.g., "Senior Software Engineer") |
| `Departments` | Organizational department(s) (e.g., Engineering, Sales) |
| `Job Functions` | Role function categories (e.g., Backend Development, Product Management) |
| `Job Types` | Employment type (e.g., Full-time, Contract, Internship) |
| `Job Seniorities` | Seniority levels (e.g., Mid-level, Senior, Lead) |
| `Job Seniority IDs` | Numeric identifiers for seniority classification |

#### Location & Flexibility

| Field | Meaning |
|---|---|
| `Locations` | Job locations as specified (e.g., "San Francisco, CA") |
| `Normalized Locations` | Standardized location format for data consistency |
| `Regions` | Geographic regions (e.g., North America, EMEA, APAC) |
| `Remote` | Whether the role is fully remote (Boolean) |
| `Hybrid` | Whether the role allows hybrid work arrangements (Boolean) |

#### Compensation & Skills

| Field | Meaning |
|---|---|
| `Salary` | Salary range or specific amount if disclosed |
| `Skills` | All relevant technical and soft skills for the role |
| `Required Skills` | Must-have competencies and expertise |
| `Preferred Skills` | Nice-to-have skills and qualifications |

#### Company Funding & Context

| Field | Meaning |
|---|---|
| `Funding Level` | Latest funding stage (e.g., Series A, Series B, IPO) |
| `Markets` | Industries and market segments served by the company |
| `Stages` | Company maturity stage (e.g., Early Stage, Growth, Late Stage) |
| `Consider Hosted` | Flag for co-hosted or featured listings |
| `Is Featured` | Whether the job has premium/featured placement |

#### Talent & Staffing Flags

| Field | Meaning |
|---|---|
| `Manager` | Whether the role includes management responsibilities |
| `Consultant` | Whether the role involves consulting or advisory work |
| `Contractor` | Whether the role is contract/temporary |
| `Consider Levels` | Appropriate experience levels for this role |
| `Scores` | Relevance or quality scores for matching algorithms |
| `ATS Jobs` | Integration data for Applicant Tracking Systems |
| `Matching Talent` | Count or list of matched candidate profiles |
| `Time Stamp` | Data collection or last-updated timestamp |

***

### How to Use

1. **Identify target URLs** — Navigate to jobs.sequoiacap.com and find the job list URL. Optionally apply filters (department, location, job type) and copy the resulting URL.

2. **Configure input** — Create a JSON object with your URL(s), set `ignore_url_failures` to `true` for reliability, and optionally set `max_items_per_url` (e.g., `50` for the first 50 listings per URL).

3. **Run the scraper** — Execute the scraper actor via the Apify platform or API.

4. **Monitor execution** — Check the run log for any errors. Failed URLs are skipped gracefully if `ignore_url_failures` is enabled.

5. **Export results** — Download output as JSON, CSV, or Excel. Data is ready for import into spreadsheets, databases, or analytics platforms.

**Troubleshooting:**

- If no items are returned, verify the URL is a valid jobs list page (not a single job detail page)
- Adjust `max_items_per_url` if timeouts occur on large lists
- Inspect raw HTML if field mappings seem missing (page structure may have changed)

***

### Use Cases & Business Value

- **Talent sourcing** — Identify candidates at Sequoia-backed startups and reach out proactively
- **Market intelligence** — Analyze hiring volume, department growth, and skill demand across VC-backed companies
- **Startup research** — Track portfolio company expansion and hiring momentum as a growth signal
- **Competitive benchmarking** — Compare compensation, title levels, and requirements across the VC ecosystem
- **Job aggregation** — Build curated startup job boards featuring premium Sequoia-backed roles
- **Career planning** — Understand which skills and industries are most in-demand in venture-backed companies

The Sequoia Cap Jobs Search Scraper eliminates manual browsing, delivering structured data that powers recruitment tools, research dashboards, and market analysis platforms.

***

### Conclusion

The **Sequoia Cap Jobs Search Scraper** is an essential tool for anyone tapping into venture-backed talent pools and market trends. With comprehensive output spanning company metadata, compensation, skills, and application details, it transforms unstructured job listings into structured intelligence. Start scraping today to unlock insights on hiring patterns and opportunities within the Sequoia ecosystem.

# Actor input Schema

## `urls` (type: `array`):

Add the URLs of the Jobs list urls you want to scrape. You can paste URLs one by one, or use the Bulk edit section to add a prepared list.

## `ignore_url_failures` (type: `boolean`):

If true, the scraper will continue running even if some URLs fail to be scraped.

## `max_items_per_url` (type: `integer`):

The maximum number of items to scrape per URL.

## Actor input object example

```json
{
  "urls": [
    "https://jobs.sequoiacap.com/jobs/"
  ],
  "ignore_url_failures": true,
  "max_items_per_url": 20
}
```

# 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 = {
    "urls": [
        "https://jobs.sequoiacap.com/jobs/"
    ],
    "ignore_url_failures": true,
    "max_items_per_url": 20
};

// Run the Actor and wait for it to finish
const run = await client.actor("alexist/sequoiacap-jobs-search-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 = {
    "urls": ["https://jobs.sequoiacap.com/jobs/"],
    "ignore_url_failures": True,
    "max_items_per_url": 20,
}

# Run the Actor and wait for it to finish
run = client.actor("alexist/sequoiacap-jobs-search-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "urls": [
    "https://jobs.sequoiacap.com/jobs/"
  ],
  "ignore_url_failures": true,
  "max_items_per_url": 20
}' |
apify call alexist/sequoiacap-jobs-search-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,alexist/sequoiacap-jobs-search-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/QPz1bj9mC0jIXUOpZ/builds/1u8k1jbT3oeyqowGB/openapi.json
