Fort Worth Development Permits Scraper
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from $2.99 / 1,000 results
Fort Worth Development Permits Scraper
Fort Worth Development Permits Scraper is a Python tool to extract permit numbers, issue dates, project descriptions, addresses, and valuation estimates from city databases. It exports structured construction datasets into clean CSV or JSON formats
Pricing
from $2.99 / 1,000 results
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ZeroBreak
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1
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4 days ago
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Security
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Fort Worth Development Permits Scraper — Construction and Development Permit Records

Collect public development permit records from the City of Fort Worth, Texas, in a structured dataset. Retrieve permit numbers, project types, property addresses, filing dates, current statuses, owner names, and job values for real estate research, contractor lead generation, and local market analysis.
Overview
This actor collects records from the City of Fort Worth's public Development Permits dataset. It supports keyword searches, custom SQL-style filters, and newest-first collection.
The collected information can help researchers, contractors, developers, and analysts explore development activity across Fort Worth.
Features
- Collect Fort Worth development permit records.
- Search permits using keywords.
- Filter records using custom conditions.
- Retrieve the latest permits first.
- Sort records using custom ordering.
- Set a maximum number of records to collect.
- Export results in JSON, CSV, Excel, and other supported Apify dataset formats.
- Store collected records in an Apify dataset.
Collection Modes
| Mode | Description |
|---|---|
search | Searches permit records using text across supported fields, including permit numbers, addresses, types, owners, work descriptions, and statuses. |
filter | Collects records matching a custom SQL-style condition. |
latest | Collects the newest permit records first, normally ordered by filing date. |
Input Parameters
| Parameter | Description |
|---|---|
mode | Selects the collection mode: search, filter, or latest. |
searchText | Keyword or phrase used to search permit records in search mode. |
where | Optional SQL-style filter condition used in filter mode. |
maxItems | Maximum number of records to collect. |
orderBy | Field and sorting direction used to order the results. |
requestDelaySecs | Delay between collection requests. |
Example Input
Collect the latest development permits
{"mode": "latest","maxItems": 50,"orderBy": "File_Date DESC","requestDelaySecs": 1}
Search permits by keyword
{"mode": "search","searchText": "GROVE","maxItems": 25,"requestDelaySecs": 1}
Filter issued permits
{"mode": "filter","where": "Current_Status = 'Issued'","maxItems": 25,"requestDelaySecs": 1}
What Data Does This Actor Extract?
The actor collects available development permit fields, including:
| Field | Description |
|---|---|
unique_key | Unique identifier for the permit record. |
permit_number | Development permit number. |
permit_type | Main permit type. |
permit_subtype | More specific permit classification. |
permit_category | Permit category. |
special_text | Additional project or work information. |
address | Property or project address. |
owner_full_name | Owner name recorded in the dataset. |
file_date | Date the permit application was filed. |
current_status | Current status recorded in the dataset. |
job_value | Reported job or project value. |
use_type | Property or project use classification. |
object_id | Source record identifier. |
scraped_at | Date and time the record was collected. |
Field availability and values depend on the records provided by the dataset.
Example Output
{"unique_key": "PB26-143553151344366049964840","permit_number": "PB26-14355","permit_type": "Commercial Accessory Structure","permit_subtype": "Remodel","permit_category": "NA","special_text": "876471-TMO EQUIP. UPGRADE","address": "2420 CHESTNUT AVE","owner_full_name": "RODRIGUEZ, BLAS","file_date": "2026-10-23T00:00:00.987000+00:00","current_status": "Pending","job_value": "25000.0","use_type": "Other","object_id": "1620626","scraped_at": "2026-10-26T00:00:00+00:00"}
Working with Your Dataset
After the actor finishes running, open the Apify dataset to explore the collected development permit records.
You can:
- Export records as JSON, CSV, or Excel.
- Filter permits by status, type, or subtype.
- Analyze reported job values.
- Group permits by filing date or project category.
- Review contractor-related and property ownership information where available.
- Use the collected data in real estate research and reporting workflows.
Use Cases
- Construction Lead Generation: Discover development and construction permit records.
- Contractor Research: Explore permit types, project descriptions, and associated activity.
- Real Estate Research: Identify areas with recorded development activity.
- Property Research: Analyze permit addresses, owner information, and project classifications.
- Market Analysis: Study permit filing trends and reported project values.
- Development Tracking: Review permit statuses and filing dates.
FAQ
Who can use this actor?
Researchers, analysts, real estate professionals, contractors, developers, and other users interested in Fort Worth development permits.
What export formats are supported?
You can export the collected dataset in JSON, CSV, Excel, and other supported Apify dataset formats.
Can I run the actor on a schedule?
Yes. You can configure an Apify schedule to run the actor automatically at your preferred interval.
How do I get the newest permits?
Use latest mode with orderBy set to File_Date DESC.
Can I search for permits at a specific location or with a particular status?
Yes. Use search mode for keywords or filter mode with an appropriate condition in the where parameter.
Disclaimer
This Actor is an independent tool and is not affiliated with, endorsed by, sponsored by, or otherwise officially associated with the City of Fort Worth. All data is collected from publicly available sources. Users are responsible for complying with applicable terms of use and laws when using the collected information.
Is Web Scraping Legal?
Collecting information that is already public is generally legal. There is no single law that bans all forms of web scraping. The limits are the usual ones: do not break into accounts, do not take private or confidential data, and be careful with personal data and copyrighted works. A site's terms can also restrict how you access it. Facts such as a public name, price, or rating are not the same thing as republishing someone's article or photo.
This actor collects information from public pages. It does not log in and it does not bypass access controls.
For a longer explanation, see Apify's article Is web scraping legal?.