Wellfound Jobs Search Scraper avatar
Wellfound Jobs Search Scraper
Deprecated

Pricing

$20.00/month + usage

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Wellfound Jobs Search Scraper

Wellfound Jobs Search Scraper

Deprecated

Developed by

ecomscrape

ecomscrape

Maintained by Community

Wellfound Jobs Search Scraper automates data collection from 100,000+ startup tech jobs on Wellfound.com. Extract company profiles, salaries, job titles, and hiring trends to gain actionable insights for recruiters, job seekers, and market researchers.

0.0 (0)

Pricing

$20.00/month + usage

0

1

1

Last modified

12 days ago

You can access the Wellfound Jobs Search Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

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"components": {
"schemas": {
"inputSchema": {
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"properties": {
"urls": {
"title": "URLs of the Jobs list page urls to scrape",
"type": "array",
"description": "Add the URLs of the Jobs list page urls you want to scrape. You can paste URLs one by one, or use the Bulk edit section to add a prepared list.",
"items": {
"type": "string"
}
},
"max_items_per_url": {
"title": "Limit the number of items per URL",
"type": "integer",
"description": "Limit the number of items per URL you want to scrape"
},
"max_retries_per_url": {
"title": "Limit the number of retries for each URL",
"type": "integer",
"description": "Limit the number of retries for each URL if the scrape is detected as a bot or the page fails to load"
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"proxy": {
"title": "Proxy configuration",
"type": "object",
"description": "Select proxies to be used by your scraper."
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"runsResponseSchema": {
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"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
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"actId": {
"type": "string"
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"userId": {
"type": "string"
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"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
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"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
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"status": {
"type": "string",
"example": "READY"
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"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
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"userAgent": {
"type": "string"
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}
},
"stats": {
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"properties": {
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"type": "integer",
"example": 2000
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"rebootCount": {
"type": "integer",
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"restartCount": {
"type": "integer",
"example": 0
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"resurrectCount": {
"type": "integer",
"example": 0
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"computeUnits": {
"type": "integer",
"example": 0
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}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
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"timeoutSecs": {
"type": "integer",
"example": 300
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"memoryMbytes": {
"type": "integer",
"example": 1024
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"diskMbytes": {
"type": "integer",
"example": 2048
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}
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"buildId": {
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"defaultKeyValueStoreId": {
"type": "string"
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"defaultDatasetId": {
"type": "string"
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"defaultRequestQueueId": {
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"buildNumber": {
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"example": "1.0.0"
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"containerUrl": {
"type": "string"
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"usage": {
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"properties": {
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"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
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"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
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"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
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"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": {
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"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
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"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": {
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Wellfound Jobs Search Scraper OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for Wellfound Jobs Search Scraper from the options below:

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients: